i-manager Publications

i-manager's Journal on Communication Engineering and Systems (JCS)

Current Issue Vol. 13 Issue 2

Design and Development of Patient Care Voice Actuated Bed in Hospital
A Low Profile Dual U Shaped Monopole Antenna for WLAN/WiMAX/C Band Applications
A Miniaturized Dual L Shaped with Truncated Ground Rectangular Monopole Antenna for 5G and Wireless Communications
A Centre C-Shaped Dual Band Rectangular Monopole Antenna for Wi-Fi and Wireless Communication
Impact of Subchannel Symbol Rates on WSS Filtering Penalty in Elastic Optical Networks: A Comparative Study

Most Cited

Volume 7 Issue 1 November - January 2018

Research Paper

Cross Coupled Band-Pass Filter Using Dual Square Complementary Split Ring ResonatorFor Wireless Communication

Aviral Verma* , Manish Kumar**

* PG Scholar, Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur (U.P.), India.

** Associate Professor, Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur (U.P), India.

Verma, A., and Kumar, M. (2018). Cross Coupled Band-Pass Filter Using Dual Square Complementary Split Ring Resonator for Wireless Communication. i-manager’s Journal on Communication Engineering and Systems, 7(1), 1-5. https://doi.org/10.26634/jcs.7.1.13956

Abstract

This paper proposes a wide pass-band filter using combination of transmission lines and square resonator structures arranged in symmetrical fashion, for numerous wide band applications. Dual-Square Complementary Split Ring Resonators with permittivity of 2.65 are identified to contribute for wider bandwidth of the filter. This novel approach enhances the coupling phenomenon and also reduces the insertion loss in the spectrum of passband. To demonstrate the advantages and practicality of this approach at the preferred band, the return and insertion losses of the filter were scrutinized. Band-pass filters play a considerable role in wireless sector. Frequency selection plays a central role in filtering. Signals have to be filtered at a specific center frequency with certain bandwidth during acquisitions. Cross dualparallel coupling at the arms provide better results in terms of frequency selectivity, rejection rates, fraction band width, and Q-factor along with low average insertion losses in comparison to other filtering techniques.

References

[1]. Alaydrus, M. (2010). Designing microstrip bandpass filter at 3.2 GHz. International Journal on Electrical Engineering and Informatics, 2(2), 71-83.

[2]. Bonache, J., Posada, G., Carchon, G., De Raedt, W., & 2 Martín, F. (2007). Compact (< 0.5 mm ) K-band metamaterial bandpass filter in MCM-D technology. Electronics letters, 43(5), 288-290.

[3]. Chang, K. (1996). Microwave Ring Circuits and Antennas (Book). New York: John Wiley & Sons, Inc, 1996.

[4]. Chiou, Y. C., Kuo, J. T., & Cheng, E. (2006). Broadband Quasi-Chebyshev bandpass filters with multimode stepped-impedance resonators (SIRs). IEEE Transactions on Microwave Theory and Techniques, 54(8), 3352-3358.

[5]. Chu, Q. X. & Tian, X. K. (2010). Design of UWB bandpass filter using stepped-impedance stub-loaded resonator. IEEE Microwave and Wireless Components Letters, 20(9), 501-503.

[6]. Chu, Q. X., Wu, X. H., & Tian, X. K. (2011). Novel UWB bandpass filter using stub-loaded multiple-mode resonator. IEEE Microwave and Wireless Components Letters, 21(8), 403-405.

[7]. Darwis, F. & Permana, D. (2012). Design and Simulation of 456 MHz Bandpass Filter for Radar System. In th Proceedings 6 National Radar Seminar and International Conference on Radar, Antenna, Microwave, Electronics and Telecommunications (ICRAMET). Bali.

[8]. Deng, H. W., Zhao, Y. J., Zhang, L., Zhang, X. S., & Gao, S. P. (2010). Compact quintuple-mode stub-loaded resonator and UWB filter. IEEE Microwave And Wireless Components Letters, 20(8), 438-440.

[9]. Gao, M. J., Wu, L. S., & Mao, J. F. (2012). Compact notched ultra-wideband bandpass filter with improved outof- band performance using quasi electromagnetic bandgap structure. Progress In Electromagnetics Research, 125, 137-150.

[10]. Hong, J. S. G. & Lancaster, M. J. (2004). Microstrip filters for RF/microwave applications (Vol. 167). John Wiley & Sons.

[11]. Kuo, J. T. & Lai, S. W. (2012). New dual-band bandpass filter with wide upper rejection band. Progress In Electromagnetics Research, 123, 371-384.

[12]. Kuo, J. T., Shih, E., & Lee, W. C. (2001). Design of bandpass filters with parallel three-line coupled microstrips. In Microwave Conference, 2001. APMC 2001. 2001 Asia- Pacific (Vol. 1, pp. 157-160). IEEE.

[13]. La, D. S. & Han, W. H. (2016). Compact wideband band-pass filter using microstrip parallel-coupled line structure with complementary split ring resonator. In Microwave and Millimeter Wave Technology (ICMMT), 2016 IEEE International Conference on (Vol. 1, pp. 360- 362). IEEE.

[14]. Lopetegi, T., Laso, M. A., Hernandez, J., Bacaicoa, M., Benito, D., Garde, M. J., ... & Guglielmi, M. (2001). New microstrip" wiggly-line" filters with spurious passband suppression. IEEE Transactions on Microwave Theory and Techniques, 49(9), 1593-1598.

[15]. Nguyen, C. (1994). New compact wideband bandpass filter using three parallel-coupled lines. Electronics Letters, 30(25), 2149-2150.

[16]. Pendry, J. B., Holden, A. J., Robbins, D. J., & Stewart, W. J. (1999). Magnetism from conductors and enhanced nonlinear phenomena. IEEE Transactions on Microwave Theory and Techniques, 47(11), 2075-2084.

[17]. Schwindt, R. & Nguyen, C. (1994). Spectral domain analysis of three symmetric coupled lines and application to a new bandpass filter. IEEE Transactions on Microwave Theory and Techniques, 42(7), 1183-1189.

[18]. Shaman, H. N. (2012). New S-band bandpass filter (BPF) with wideband passband for wireless communication systems. IEEE Microwave and Wireless Components Letters, 22(5), 242-244.

[19]. Shaman, H., & Hong, J. S. (2007). Asymmetric parallelcoupled lines for notch implementation in UWB filters. IEEE Microwave and Wireless Components Letters, 17(7), 516- 518.

[20]. Srisathit, K., Worapishet, A., & Surakampontorn, W. (2010). Design of triple-mode ring resonator for wideband microstrip bandpass filters. IEEE Transactions on Microwave Theory and Techniques, 58(11), 2867-2877.

[21]. Sun, S. & Zhu, L. (2006). Capacitive-ended interdigital coupled lines for UWB bandpass filters with improved out-ofband performances. IEEE Microwave and Wireless Components Letters, 16(8), 440-442.

[22]. Wong, S. W. & Zhu, L. (2009). Quadruple-mode UWB bandpass filter with improved out-of-band rejection. IEEE Microwave and Wireless Components Letters, 19(3), 152- 154.

[23]. Wu, X. H., Chu, Q. X., Tian, X. K., & Ouyang, X. (2011). Quintuple-mode UWB bandpass filter with sharp roll-off and super-wide upper stopband. IEEE Microwave and Wireless Components Letters, 21(12), 661-663.

[24]. Zhu, L., Sun, S., & Menzel, W. (2005). Ultra-wideband (UWB) bandpass filters using multiple-mode resonator. IEEE Microwave and Wireless Components Letters, 15(11), 796- 798.

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Research Paper

Parameter Analysis of Wireless Sensor Networks on Various Non Realistic Mobility Models

V. K. Patle* , Sanjay Kumar**

* Assistant Professor, School of Studies in Computer Science & IT, Pt. Ravishankar Shukla University, Raipur (Chhattisgarh), India.

** Professor and Head, School of Studies in Computer Science & IT, Pt. Ravishankar Shukla University, Raipur (Chhattisgarh), India.

Patle, V. K., Kumar, S. (2018). Parameter Analysis of Wireless Sensor Networks on Various Non Realistic Mobility Models. i-manager’s Journal on Communication Engineering and Systems, 7(1), 6-11. https://doi.org/10.26634/jcs.7.1.13957

Abstract

In present days, Wireless Sensor Networks (WSN) play an important role in wireless communication. Wireless Sensor Networks are self-configurable, self-healing networks consisting of a larger number of small size sensor nodes. Senor Node is composed by processor, memory, battery, sensor devices and transceiver. WSN focuses mainly on sensing environment data and transferring it to the computational centre via the sink. Mobility Models play an important role in the performance of WSN. In this paper, various performance parameters of WSN on different mobility models are analyzed with the help of NS- 3.22 simulation tool. Network performance depends on the nodes' population and displacement.

References

[1]. Alaybeyoglu, A., Dagdeviren, O., Erciyes, K., & Kantarci, A. (2009). Performance evaluation of clusterbased target tracking protocols for wireless sensor networks. In Computer and Information Sciences, 2009. ISCIS 2009. th 24 International Symposium on (pp. 357-362). IEEE.

[2]. Ali, Q. I. (2012). Simulation framework of wireless sensor network (WSN) using matlab/simulink software. In MATLAB-A Fundamental Tool for Scientific Computing and Engineering Applications-Volume 2. intech.

[3]. Aslam, M. Z. & Rashid, A. (2011). Comparison of Random Waypoint & Random Walk Mobility Model under DSR, AODV & DSDV MANET Routing Protocols. International Journal of Advanced Research in Computer Science (IJARCS), 2(1), 381- 386.

[4]. Dharani, A., Nayak, S., & Manjuprasad, B. (2014). Hardware and Simulation Perspective Study on Wireless Sensor Networks. International Journal of Advance Foundation and Research in Computer (IJAFRC), 1(7), 2348-4853.

[5]. Israni, M., Patle, V. K., & Kumar, S. (2015). A Survey on Performance Evaluation of Non-Realistic Mobility Models with Different Routing Protocols on MANET. International Journal of Computer Applications, 127(3), 38-44.

[6]. Jain, M., Patle, V. K., & Kumar, S. (2015). Performance of Mobility models with different Routing Protocols by using Simulation Tools for WSN: A Review. International Journal of Advanced Research in Computer and Communication Engineering, 4(1), 57-61.

[7]. Katkar, P. S. & Ghorpade, D. V. R. (2016). Comparative study of network simulator: NS2 and NS3. International Journal of Advanced Research in Computer Science and Software Engineering, 6(3), 608-612.

[8]. Khan, M. F., Felemban, E. A., Qaisar, S., & Ali, S. (2013). Performance analysis on packet delivery ratio and end-toend delay of different network topologies in Wireless Sensor Networks (WSNs). In Mobile Ad-hoc and Sensor Networks (MSN), 2013 IEEE Ninth International Conference on (pp. 324-329). IEEE.

[9]. Kumar, G. S., Paul, V., & Poulose Jacob, K. (2007). Impact of node mobility on routing protocols for wireless sensor networks, In International Conference on Sensors and Related Networks, 480-485.

[10]. Manjula, S. H., Abhilash, C. N., Shaila, K., Venugopal, K. R., & Patnaik, L. M. (2008). Performance of aodv routing protocol using group and entity mobility models in wireless sensor networks. In Proceedings of the International Multi Conference of Engineers and Computer Scientists (Vol. 2, pp. 1212-1217).

[11]. Patel, R., Porwal, V., & Kapoor, R. K. (2014). A review of Mobility-Based Wireless Sensor Networks. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 3(8), 2811-2815.

[12]. Stevanovic, D. & Vlajic, N. (2008). Performance of IEEE 802.15. 4 in wireless sensor networks with a mobile sink implementing various mobility strategies. In Local rd Computer Networks, 2008. LCN 2008. 33 IEEE Conference on (pp. 680-688). IEEE.

[13]. Vasanthi, V., Romenkumar, M., Ajithsingh, N., & Hemalatha, M. (2011). A detailed study of mobility models in wireless sensor networks. Journal of Theoretical and Applied Information Technology, 33(1), 7-14.

[14]. Wang, P. & Akyildiz, I. F. (2010). Effects of different mobility models on traffic patterns in wireless sensor networks. In Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE (pp. 1-5). IEEE.

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Research Paper

Design of A Symmetrical C Shaped Microstrip Patch Antenna With Rectangular Ground Slot for WLAN and WIMAX Applications

Shubhi Shukla* , Shivam**

* Postgraduate, Department of Electronics & Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India.

** Assistant Professor, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Shukla, S., and Shivam (2018). Design of a Symmetrical C Shaped Microstrip Patch Antenna with Rectangular Ground Slot for WLAN and WIMAX Applications. i-manager’s Journal on Communication Engineering and Systems, 7(1), 12-15. https://doi.org/10.26634/jcs.7.1.13958

Abstract

A coaxial fed tri-band model has been proposed for microwave access, which is typically involved in the applications of L and S band that combines Wireless Local Area Network (WLAN) and Worldwide Interoperability for Microwave Access 3 (WiMax). The proposed model has a size of 20×20×1.66 mm with FR4 epoxy as a dielectric substrate, which has a relative permittivity of 4.4. It has symmetrical slots on the conducting patch which are C-shaped and also has a rectangular strip slot in ground plane, so that tri-band can be obtained. It is mainly designed to work within 1 GHz to 8 GHz. The designed structure is simulated by High Frequency Structure Simulator (HFSS) and the peak value of return loss, 27 dB, is obtained at 3.5 GHz frequency. The simulated results depicted that the proposed antenna will respond well over 2.38-2.43 GHz, 3.43-3.56 GHz and 5.5-5.8 GHz frequency band.

References

[1]. Carver, K., & Mink, J. (1981). Microstrip antenna technology. IEEE Transactions on Antennas and Propagation, 29(1), 2-24.

[2]. Chu, Q. X., & Ye, L. H. (2010). Design of compact dualwideband antenna with assembled monopoles. IEEE Transactions on Antennas and Propagation, 58(12), 4063- 4066.

[3]. Dey, S., & Mittra, R. (1996). Compact microstrip patch antenna. Microwave and Optical Technology Letters, 13(1), 12-14.

[4]. Garg, R. (2001). Microstrip Antenna Design Handbook. Artech house.

[5]. Lee, W. S., Lim, W. G., & Yu, J. W. (2005). Multiple bandnotched planar monopole antenna for multiband wireless systems. IEEE Microwave and Wireless Components Letters, 15(9), 576-578.

[6]. Lee, K. F., Luk, K. M., Mak, K. M., & Yang, S. L. S. (2011). On the use of U-slots in the design of dual-and triple-band patch antennas. IEEE Antennas and Propagation Magazine, 53(3), 60-74.

[7]. Majumder, A. (2013). Rectangular microstrip patch antenna using coaxial probe feeding technique to operate in S-band. International Journal of Engineering Trends and Technology (IJETT), 4(4), 1206-1210.

[8]. Mak, C. L., Luk, K. M., & Lee, K. F. (1999). Microstrip linefed L-strip patch antenna. IEE Proceedings-Microwaves, Antennas and Propagation, 146(4), 282-284.

[9]. Morshed, K. M., Karmokar, D. K., & Talukder, M. (2010). Numerical and Experimental Analysis of Impedance Matched Inverted-L and Stair Inverted-L Antenna for 5 GHz WLAN Operation. JCM, 5(8), 612-619.

[10]. Pozer, D. M. (1982). Microstrip Antennas. Proc. IEEE Trans. Antennas and Propagation, 80.

[11]. Roy, A., & Bhunia, S. (2012). Compact Broad Band Dual Frequency Slot Loaded Microstrip Patch antenna with Defecting Ground Plane for WI-MAX and WLAN. IJSCE, ISSN, 2231-2307, 1(6), 154-157.

[12]. Vani, R. M., Farida, S. F., & Hunagund, P. V. (2006). A shorted rectangular microstrip antenna with slots in ground plane. Journal-Institution of Engineers India Part Et Electronics and Telecommunications Engineering Division, 87, 19.

[13]. Wong, K. L., & Chen, W. S. (1997). Compact microstrip antenna with dual-frequency operation. Electronics Letters, 33(8), 646-647.

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Research Paper

Design and Implementation of Cache Memory with FIFO Cache-Control

Anamika Upadhyay* , Vinay Sahu, Sumit Kumar Roy*, Dharmendra Singh****

- UG Scholar, Department of Electronics and Telecommunication, Shri Shankaracharya Institute of Professional Management and Technology (SSIPMT), Raipur, Bhilai, India.

-**** Assistant Professor, Department of Electronics and Telecommunication Engineering, Shri Shankaracharya Institute of Professional Management and Technology (SSIPMT), Raipur, Bhilai, India.

Upadhyay, A., Sahu, V., Roy, S. K., Singh, D. (2018). Design and Implementation of Cache Memory with FIFO Cache-Control. i-manager’s Journal on Communication Engineering and Systems, 7(1), 16-21. https://doi.org/10.26634/jcs.7.1.13959

Abstract

In today's world, the multi-core processor is very popular and has huge applications in Digital Signal Processing, Networking, Embedded System, General Purpose Computers etc. As the single-core processor has its own limitations, and complexities because of a single core, a multi-core processor attracts many researchers to work for the improvements in time and power consumption of the system, as it contains multi independent central processing units. The cache coherence is one of the major issues of the multi-core processor and cache handling is more complicated. Hence, it is important to design a method, so that the cache memory can be handled. In this paper, authors have proposed a design to utilize the cache memory in an efficient manner in the supervision of cache controller and also for reducing the power consumption.

References

[1]. Bhure, V. S., & Padole, D. (2012). Design of Cache Controller for Multi-core Systems using Multilevel Scheduling Method. In Emerging Trends in Engineering and Technology (ICETET), 2012 Fifth International Conference on (pp. 167-173). IEEE.

[2]. Cui, Q., Yang, S., Wang, X., Guo, Y., & Li, Z. (2012). Multi Core with Individual L1 Cache and Shared L2 Cache. EECS470 Final Project.

[3]. Hanumaiah, V., & Vrudhula, S. (2014). Energy-efficient operation of multicore processors by DVFS, task migration, and active cooling. IEEE Transactions on Computers, 63(2), 349-360.

[4]. Hidaka, H., Matsuda, Y., Asakura, M., & Fujishima, K. (1990). The cache DRAM architecture: A DRAM with an onchip cache memory. IEEE Micro, 10(2), 14-25.

[5]. Hwang, Y. S., & Chung, K. S. (2013). Dynamic power management technique for multicore based embedded mobile devices. IEEE Transactions on Industrial Informatics, 9(3), 1601-1612.

[6]. Kolhe, K. D., Gokhale, U. M., & Pendhari, D. (2014). Design and Implementation of Cache Controller for Multi- Core Systems Using Parallelization Method. International Journal, 2(1), 102-106.

[7]. Molka, D., Hackenberg, D., Schone, R., & Muller, M. S. (2009). Memory performance and cache coherency effects on an intel nehalem multiprocessor system. In Parallel Architectures and Compilation Techniques, 2009. th PACT'09. 18 International Conference on (pp. 261-270). IEEE.

[8]. Treibig, J., Hager, G., & Wellein, G. (2009). Multi-core architectures: Complexities of performance prediction and the impact of cache topology. Cornell University Library, 18.

[9]. Wang, W., & Tian, Q. (n.d). Cache Coherence Verification of a Multi-core Processor.

[10]. Yoon, M. K., Mohan, S., Choi, J., Kim, J. E., & Sha, L. (2013). Secure Core: A multicore-based intrusion detection architecture for real-time embedded systems. In Real-Time and Embedded Technology and Applications Symposium th (RTAS), 2013 IEEE 19 (pp. 21-32). IEEE.

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Research Paper

Performance Analysis of Multi User Transmit Antenna Selection Systems over TWDP Fading Channels

Rajkishur Mudoi* , Rupaban Subadar**

*Assistant Professor, Department of Electronics and Communication Engineering, North Eastern Hill University, Shillong, Meghalaya, India.

** Associate Professor and HOD, Department of Electronics and Communication Engineering, North Eastern Hill University, Shillong, Meghalaya, India.

Mudoi, R., and Subadar, R. (2018). Performance Analysis of Multi User Transmit Antenna Selection Systems over TWDP Fading Channels. i-manager’s Journal on Communication Engineering and Systems, 7(1), 22-28. https://doi.org/10.26634/jcs.7.1.13961

Abstract

This paper analyzes the performance of down-link communication in a multi user transmit antenna selection system (TAS) over two wave diffused power (TWDP) fading channels. In TAS system the transmitter selects the best antenna out of the total transmit antennas based on the channel state information (CSI) of the system. A closed form expression has been derived for outage probability and the average bit error rate (ABER) for different binary modulation schemes in the form of single fold integral. Also, ABER and outage probability have been studied for different channel conditions with arbitrary transmitting antennas and users.

References

[1]. Aalo, V. A. (1995). Performance of maximal-ratio diversity systems in a correlated Nakagami-fading environment. IEEE transactions on Communications, 43(8), 2360-2369.

[2]. Chen, Z., Yuan, J., & Vucetic, B. (2005). Analysis of transmit antenna selection/maximal-ratio combining in Rayleigh fading channels. IEEE Transactions on Vehicular Technology, 54(4), 1312-1321.

[3]. Chen, Z., Chi, Z., Li, Y., & Vucetic, B. (2009). Error performance of maximal-ratio combining with transmit antenna selection in flat Nakagami-m fading channels. IEEE Transactions on Wireless Communications, 8(1), 424- 431.

[4]. Durgin, G. D., Rappaport, T. S., & De Wolf, D. A. (2002). New analytical models and probability density functions for fading in wireless communications. IEEE Transactions on Communications, 50(6), 1005-1015.

[5]. Frolik, J. (2007). A case for considering hyper-Rayleigh fading channels. IEEE Transactions on Wireless Communications, 6(4), 1235-1239.

[6]. Gesbert, D., Bolcskei, H., Gore, D. A., & Paulraj, A. J. (2002). Outdoor MIMO wireless channels: Models and per formance prediction. IEEE Transactions on Communications, 50(12), 1926-1934.

[7]. Hung, C. C., Chiang, C. T., Yen, N. Y., & Wu, R. C. (2010). Outage probability of multiuser transmit antenna selection/maximal-ratio combining systems over arbitrary Nakagami-m fading channels. IET Communications, 4(1), 63-68.

[8]. Lu, Y., & Yang, N. (2011). Symbol error probability of QAM with MRC diversity in two-wave with diffuse power fading channels. IEEE Communications Letters, 15(1), 10- 12.

[9]. Oh, S. H., & Li, K. H. (2005). BER performance of BPSK receivers over two-wave with diffuse power fading channels. IEEE Transactions on Wireless Communications, 4(4), 1448-1454.

[10]. Oh, S. H., Li, K. H., & Lee, W. S. (2007). Performance of BPSK pre-detection MRC systems over two-wave with diffuse power fading channels. IEEE Transactions on Wireless Communications, 6(8), 2772-2775.

[11]. Pena-Martin, J. P., Romero-Jerez, J. M., & Tellez- Labao, C. (2013). Performance of TAS/MRC wireless systems under Hoyt fading channels. IEEE Transactions on Wireless Communications, 12(7), 3350-3359.

[12]. Simon, M. K., & Alouini, M. S. (2005). Digital communication over fading channels (Vol. 95). John Wiley & Sons.

[13]. Subadar, R., & Singh, A. D. (2013). Performance of SC receiver over TWDP fading channels. IEEE wireless communications letters, 2(3), 267-270.

[14]. Subadar, R., & Mudoi, R. (2015). Performance of multiuser TAS/MRC-MIMO systems over Rayleigh fading channels with exponential correlation. In Electronic Design, Computer Networks & Automated Verification (EDCAV), 2015 International Conference on (pp. 165-168). IEEE.

[15]. Suraweera, H. A., Lee, W. S., & Oh, S. H. (2008). Performance analysis of QAM in a two-wave with diffuse power fading environment. IEEE Communications Letters, 12(2), 109-111.

[16]. Wang, B. Y., Bu, B., & Zheng, W. X. (2006). Outage probabiity of transmitter antenna selection/receiver-MRC over spatially correlated Nakagami-fading channels. In Communication Technology, 2006. ICCT'06. International Conference on (pp. 1-4). IEEE.

[17]. Weisstein, E. W. (2002). Marcum Q-Function. From Math World – A Wol fram Web Resource . http://mathworld.wolfram.com/MarcumQ-Function.html

[18]. Yeoh, P. L., Elkashlan, M., Yang, N., da Costa, D. B., & Duong, T. Q. (2012). MIMO multi-relay networks with TAS/MRC and TAS/SC in Weibull fading channels. In Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23^rdInternational Symposium on (pp. 2314-2318). IEEE.

[19]. Zhang, Q. T. (1996). Outage probability in cellular mobile radio due to Nakagami signal and interferers with arbitrary parameters. IEEE Transactions on Vehicular Technology, 45(2), 364-372.

[20]. Zhang, X., Chen, F., & Wang, W. (2007). Outage probability study of multiuser diversity in MIMO transmit antenna selection systems. IEEE Signal Processing Letters, 14(3), 161-164.

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Research Paper

Light Fidelity Design for Audio Transmission Using Light Dependent Resistor

Arhum Ahmad* , Tanuja Kashyap**

* PG Student, Bhilai Institute of Technology, Durg (C.G), India.

** Associate Professor, Department of Electronics and Telecommunications Engineering, Bhilai Institute of Technology, Durg (C.G), India.

Ahmad, A., and Kashyap, T. (2018). Light Fidelity Design for Audio Transmission Using Light Dependent Resistor. i-manager’s Journal on Communication Engineering and Systems, 7(1), 29-34. https://doi.org/10.26634/jcs.7.1.13962

Abstract

Light Fidelity (Li-Fi) is based on “illumination” method for transmitting Data by using Light Emitting Diode’s and reception of data by photo sensor as detector. The objective here is to transmit the audio signal through Light Emitting Diode’s and recover the data using Light Dependent resistor. The Li-Fi is having high speed economical adaptation of Wi-Fi on the basis of visible light communication. Due to its better efficiency over radio base technology it has become an idea of keen interest in past few years. This technology not only increases speed of transmitting data but also increases the Capacity, Bandwidth, Security and reduces cost.This can be easily achieved by colour modulation or intensity modulation thus it can be a good solution of all radio frequency issues.

References

[1]. Gawande, P., Sharma, A., & Kushwaha, P. (2016). Various Modulation Techniques for LiFi. International Journal of Advanced Research in Computer and Communication Engineering, 5(3), 121-125.

[2]. Haas, H. (2011). Wireless data from every light bulb. TED Global.

[3]. Haas, H., Yin, L., Wang, Y., & Chen, C. (2016). What is lifi?. Journal of Lightwave Technology, 34(6), 1533-1544.

[4]. Haas, H., Chen, C., & O'Brien, D. (2017). A guide to wireless networking by light. Progress in Quantum Electronics, 55, 88-111.

[5]. Lazar, M. S., & Ravi, T. (2015). Li-Fi design for high speed data transmission. ARPN Journal of Engineering and Applied Science, 10(14), 5999-6003.

[6]. Li-Fi. (n.d.). Li-Fi. Retrieved from http://en.wikipedia.org/ wiki/Li-Fi.

[7]. Navyatha, N., Prathyusha, T. M., Roja, V., & Mounika, M. (2013). Li-Fi (Light fidelity)-LED Based Alternative. International Journal of Scientific & Engineering Research, 4(5), 1039-1042.

[8]. Nivrutti, D. V., & Nimbalkar, R. R. (2013). Light-Fidelity: A Reconnaissance of Future Technology. International Journal of Advanced Research in Computer Science and Software Engineering, 3(11).

[9]. Panjwani, S., & Abhinav, A. V. (2017). Li-Fi: Internet Through Light. International Journal of Computer & Mathematical Sciences, 6(3), 27-30.

[10]. Sharma, R. R., & Sanganal, A. (2014). Li-Fi Technology: Transmission of data through light. International Journal of Computer Technology and Applications, 5(1), 150.

[11]. Shrivas, A. R. (2015). Li-Fi: The Future Bright Technology. International Journal of Electronics, Communication and Soft Computing Science & Engineering (IJECSCSE), 189.

[12]. Singh, G. (2015). Li-Fi (Light Fidelity)-An Overview to future Wireless technology in Field of Data Communication. Journal of Network Communications and Emerging Technologies (JNCET)(www. jncet. org) Volume, 5.

[13]. Tsonev, D., Videv, S., & Haas, H. (2014). Light fidelity (Li- Fi): towards all-optical networking. In Broadband Access Communication Technologies VIII (Vol. 9007, p. 900702). International Society for Optics and Photonics.

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Survey Paper

A Survey on Energy Efficient Distributed Clustering Algorithm for Wireless Sensor Networks

Swagatika Pradhan* , Pawan Patnaik, S.D. Mishra*

* PG Scholar, Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg (CG), India.

Associate Professor, Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg (CG), India.

* Assistant Professor, Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg (CG), India.

Pradhan, S., Patnaik, P., and Mishra, S. D. (2018). A Survey on Energy Efficient Distributed Clustering Algorithm for Wireless Sensor Networks. i-manager’s Journal on Communication Engineering and Systems, 7(1), 35-44. https://doi.org/10.26634/jcs.7.1.13963

Abstract

Wireless sensor networks (WSNs) have a large vary of applications as a result of they will be custom-made for a varied environment. WSNs consist of collection of sensor nodes which has limited processing power and restricted memory unit. Main task of this network is the reliable routing of packets from sensors to the base station (BS). WSNs operate severally in harsh places wherever a person’s presence is risky or perhaps not possible. Since their life time relies on their batteries and replacement and recharging these batteries is not possible in rough places, thus minimizing energy dissipation and increasing the network life period is the primary concern for the sensor networks. Nodes are basically stored in non-overlapping cluster to support scalability, energy efficiency and efficient routing. During this paper, we examine presently proposed clustering algorithms for WSNs. We are going to shortly discuss the operation of that algorithm, and also draw comparison on the performance between the various schemes. Specifically, we are going to examine the performance in term of power and quality aspect of those schemes. This paper ought to give the reader with a basis for analysis in clustering schemes for WSNs.

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i-manager's Journal on Communication Engineering and Systems (JCS)

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* PG Scholar, Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur (U.P.), India. ** Associate Professor, Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur (U.P), India.

Verma, A., and Kumar, M. (2018). Cross Coupled Band-Pass Filter Using Dual Square Complementary Split Ring Resonator for Wireless Communication. i-manager’s Journal on Communication Engineering and Systems, 7(1), 1-5. https://doi.org/10.26634/jcs.7.1.13956

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* Assistant Professor, School of Studies in Computer Science & IT, Pt. Ravishankar Shukla University, Raipur (Chhattisgarh), India. ** Professor and Head, School of Studies in Computer Science & IT, Pt. Ravishankar Shukla University, Raipur (Chhattisgarh), India.

Patle, V. K., Kumar, S. (2018). Parameter Analysis of Wireless Sensor Networks on Various Non Realistic Mobility Models. i-manager’s Journal on Communication Engineering and Systems, 7(1), 6-11. https://doi.org/10.26634/jcs.7.1.13957

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* Postgraduate, Department of Electronics & Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India. ** Assistant Professor, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Shukla, S., and Shivam (2018). Design of a Symmetrical C Shaped Microstrip Patch Antenna with Rectangular Ground Slot for WLAN and WIMAX Applications. i-manager’s Journal on Communication Engineering and Systems, 7(1), 12-15. https://doi.org/10.26634/jcs.7.1.13958

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Performance Analysis of Multi User Transmit Antenna Selection Systems over TWDP Fading Channels

Rajkishur Mudoi* , Rupaban Subadar**

*Assistant Professor, Department of Electronics and Communication Engineering, North Eastern Hill University, Shillong, Meghalaya, India. ** Associate Professor and HOD, Department of Electronics and Communication Engineering, North Eastern Hill University, Shillong, Meghalaya, India.

Mudoi, R., and Subadar, R. (2018). Performance Analysis of Multi User Transmit Antenna Selection Systems over TWDP Fading Channels. i-manager’s Journal on Communication Engineering and Systems, 7(1), 22-28. https://doi.org/10.26634/jcs.7.1.13961

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Light Fidelity Design for Audio Transmission Using Light Dependent Resistor

Arhum Ahmad* , Tanuja Kashyap**

* PG Student, Bhilai Institute of Technology, Durg (C.G), India. ** Associate Professor, Department of Electronics and Telecommunications Engineering, Bhilai Institute of Technology, Durg (C.G), India.

Ahmad, A., and Kashyap, T. (2018). Light Fidelity Design for Audio Transmission Using Light Dependent Resistor. i-manager’s Journal on Communication Engineering and Systems, 7(1), 29-34. https://doi.org/10.26634/jcs.7.1.13962

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A Survey on Energy Efficient Distributed Clustering Algorithm for Wireless Sensor Networks

Swagatika Pradhan* , Pawan Patnaik**, S.D. Mishra***

Pradhan, S., Patnaik, P., and Mishra, S. D. (2018). A Survey on Energy Efficient Distributed Clustering Algorithm for Wireless Sensor Networks. i-manager’s Journal on Communication Engineering and Systems, 7(1), 35-44. https://doi.org/10.26634/jcs.7.1.13963

Abstract

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* PG Scholar, Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur (U.P.), India.

** Associate Professor, Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur (U.P), India.

* Assistant Professor, School of Studies in Computer Science & IT, Pt. Ravishankar Shukla University, Raipur (Chhattisgarh), India.

** Professor and Head, School of Studies in Computer Science & IT, Pt. Ravishankar Shukla University, Raipur (Chhattisgarh), India.

* Postgraduate, Department of Electronics & Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India.

** Assistant Professor, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Anamika Upadhyay* , Vinay Sahu, Sumit Kumar Roy*, Dharmendra Singh****

*Assistant Professor, Department of Electronics and Communication Engineering, North Eastern Hill University, Shillong, Meghalaya, India.

** Associate Professor and HOD, Department of Electronics and Communication Engineering, North Eastern Hill University, Shillong, Meghalaya, India.

* PG Student, Bhilai Institute of Technology, Durg (C.G), India.

** Associate Professor, Department of Electronics and Telecommunications Engineering, Bhilai Institute of Technology, Durg (C.G), India.

Swagatika Pradhan* , Pawan Patnaik, S.D. Mishra*