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i-manager's Journal on Wireless Communication Networks (JWCN)

Current Issue Vol. 13 Issue 1

Most Cited

A Review on Optimized FFT/IFFT Architectures for OFDM Systems
Balanced Unequal Clustering AlgorithmFor Wireless Sensor Network
HHT and DWT Based MIMO-OFDM for Various ModulationSchemes: A Comparative Approach
Study and Comparison of Distributed Energy Efficient Clustering Protocols in Wireless Sensor Network: A Review
Diagnosis of Anemia using Non-Invasive Anemia Detector through Parametrical Analysis

Volume 6 Issue 4 January - March 2018

Research Paper

FER Performance Analysis of Adaptive MIMO with OSTBC for Wireless Communication by QPSK Modulation Technique

Sudha Arvind* , Siddapuram Arvind**

* Associate Professor, Department of Electronics and Communication Engineering, CMR Technical Campus, Hyderabad, Telangana, India.

** Professor and Dean, CMR Institute of Technology, Kandlakoya, Hyderabad, Telangana, India.

Arvind, S., and Arvind, S. (2018). FER Performance Analysis of Adaptive Mimo with OSTBC for Wireless Communication by QPSK Modulation Technique. i-manager's Journal on Wireless Communication Networks, 6(4), 1-9. https://doi.org/10.26634/jwcn.6.4.14258

Abstract

The tremendous growth in Wireless Technology in the field of communication is characterized with increased data speed with high accuracy. In order to satisfy the requirements of a data rate, it has greater complications. These requirements are conquered with Multiple-Input-Multiple-Output (MIMO) communication system. This system has multiple and certain number of transmitting and receiving antennas. Adaptive MIMO system has various conjuction of multiple transmitting and receiving antennas with Orthogonal Space Time Block Codes for encoding, which helps in improving accuracy and high data rates. Adaptive system will control with either one, two, three, or four transmit and receive antennas. The Orthogonal Space-time block coding (OSTBC) encoder by accepting Alamouti code will encode the instruction symbols from the Quadrature Phase Shift Keying (QPSK) modulator. QPSK Demodulator is used to demodulate the output of the OSTBC Combiner. The Frame Error Rate (FER) for three transmit and two receive antennas and the frame error rate for four transmit and two receive antennas is estimated. From the simulation results it is observed that the three transmit and two receive antennas are better.

References

[1]. Tidula, & Rani, S. (2017). Adaptive MIMO System with OSTBC using Spatial Diversity and Spatial Multiplexing. International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE), 4(9), 18-20.

[2]. Bhavya, S., Rani, C. S., Sai, K. N., Rani, R., Chakradhar, V. R. K. N., & Raju, P. S. (2017). Performance evaluation of Adaptive MIMO-system for High Data Rate using Orthogonal Space Time Block Codes. International Journal of Innovative Research in Science, Engineeringand Technology, 6(3), 4376-4382.

[3]. Giri, N. C., Aman, S., Rana, D., Ray, N., & Mohanty, M. (2015). Performance Analysis of MIMO System for Wireless communication. Retrieved from https://www.cutm.ac.in/ pdf/nsdnm_fulltext1.pdf

[4]. Lokhande, U., & Tiwari, M. (2016). OSTBC Modified Encoder Design for Noise Free MIMO Communication. International Journal of Computer Application, 6(5), 1-6.

[5]. Sivanagaraju, M. (2014). Comprehensive analysis of BER and SNR in OFDM systems. International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), 2(2), 3059-3065.

[6]. Wong, K. K., Murch, R. D., & Letaief, K. B. (2002). Performance enhancement of multiuser MIMO wireless communication systems. IEEE Transactions on Communications, 50(12), 1960-1970.

[7]. Yang, H. (2005). A road to future broadband wireless access: MIMO-OFDM-based air inter face. IEEE Communications Magazine, 43(1), 53-60.0020

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Research Paper

Comparative Analysis Of Confinement Loss and Dispersion for Hexagonal Photonic Crystal Fiber Structure Doped with Specific Liquids

Sakhi Gopal Panda* , Vikas Sahu, Akash Joshi*

, PG Scholar, Department of Electronics and Telecommunications Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.

Assistant Professor, Department of Electronics and Telecommunications Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.

Panda, S.G., Sahu, V., and Joshi, A. (2018). Comparative Analysis of Confinement Loss and Dispersion for Hexagonal Photonic Crystal Fiber Structure Doped with Specific Liquids. i-manager's Journal on Wireless Communication Networks, 6(4), 10-16. https://doi.org/10.26634/jwcn.6.4.14233

Abstract

A comparative analysis of different parameters of a hexagonal photonic crystal fiber doped with some other liquid materials, whose refractive indices are lower than the refractive index of the actual core, has been proposed in this paper. Circular air holes are placed in four hexagonal shaped rings. Three holes from the innermost ring are filled not only with air, but also with water, ethanol, and ether to demonstrate the overall analysis of confinement loss, dispersion, and effective area. Finite Element Method is used in the software known as COMSOL Multiphysics for the calculation of effective refractive indices, while the calculation of confinement loss, dispersion and effective area, and the comparison graphs have been plotted in MATLAB. The photonic crystal fibers doped with some specific liquid can also be used for the calculation of sensitivity of that particular liquid or can be used as liquid sensors. It has been observed that the effective refractive indices and the confinement loss not only vary by changing the wavelength, but also by varying the structural parameters like pitch length and diameter of air holes. For this research work, the Perfectly Matched Layer was kept constant and the responses were calculated between diameter of holes, confinement loss, dispersion, effective area, and wavelengths.

References

[1]. Akowuah. E.K.; Ademgil. H.; Haxha. S. (2012). Design and analysis of Photonic Crystal Fibers (PCFs) for broadband applications. IEEE 4^th International Conference on Adaptive Science & Technology (ICAST), (pp.114-120). IEEE.

[2]. Arif, M. F. H., Asaduzzaman, S., Ahmed, K., & Morshed, M. (2016, May). High sensitive PCF based chemical sensor for ethanol detection. In Informatics, Electronics and Vision (ICIEV), 2016 5^th International Conference on (pp. 6-9). IEEE.

[3]. Chen, L., Zhang, W., Zhang, Z., Liu, Y., Sieg, J., Zhang, L., ...& Yan, T. (2014). Design for a single-polarization photonic crystal fiber wavelength splitter based on hybrid-surface plasmon resonance. IEEE Photonics Journal, 6(4), 1-9.

[4]. Hossain, M. M., & Maniruzzaman, M. (2014, April). Analysis of dispersion and confinement loss in photonic crystal fiber. In Electrical Engineering and Information & Communication Technology(ICEEICT) , 2014 International Conference on (pp. 1-4). IEEE.

[5]. Jensen, J. B., Riishede, J., Broengx, J., Lægsgaard, J., Larsen, T. T., Sorensen, T., ...& Bjarklev, A. (2003, October). Photonic crystal fibers: Fundamental properties and applications within sensors. In Sensors, 2003. Proceedings of IEEE (Vol. 1, pp. 269-278). IEEE.

[6]. Joannopoulos, J. D., Johnson, S. G., Winn, J. N., & Meade, R. D. (2011). Photonic Crystals: Molding the Flow of Light. Princeton University Press.

[7]. Joshi, A., Shrivastava, S. M., Sahu, V., Anshu. (2017a). Modeling of Hexagonal and Octagonal Photonic Crystal Fiber. i-manager's Journal on Electronics Engineering. 7 (4), 34-40.

[8]. Joshi, A., Shrivastava, S. M., Sahu, V., & Anshu. (2017b). Simulation of various structures of Photonic Crystal Fibers. Research Challenges in Science, Technology and Management for National Development, BIT-CON.

[9]. Kumar, P., Kumari, R., Parida, S. K., & Meher, A. K. (2015). Multicore ethanol doped PCF with anamolous dispersion behavior. 2^nd International Conference on Electronics and Communication, (pp.1071-1074).

[10]. Liang, H., Chen, H., & Li, J. (2015). Characteristics analysis of hybrid photonic crystal fiber with hexagonal structure. Optik-International Journal for Light and Electron Optics, 126(20), 2335-2337.

[11]. Liang, J., Yun, M., Kong, W., Sun, X., Zhang, W., & Xi, S. (2011). Highly birefringent photonic crystal fibers with flattened dispersion and low effective mode area. Optik- International Journal for Light and Electron Optics, 122(23), 2151-2154.

[12]. Musin, R. R., & Zheltikov, A. M. (2008). Designing dispersion-compensating photonic-crystal fibers using a genetic algorithm. Optics Communications, 281(4), 567- 572.

[13]. Razzak, S. A., & Namihira, Y. (2008). Proposal for highly nonlinear dispersion-flattened octagonal photonic crystal fibers. IEEE Photonics Technology Letters, 20(4), 249-251.

[14]. Razzak, S. A., Khan, M. A. G., Begum, F., & Kaijage, S. (2007). Guiding properties of a decagonal photonic crystal fiber. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 6(1), 44-49.

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Research Paper

DGS Based MIMO Microstrip Antenna for Wireless Applications

Shiddanagouda F.B.* , Vani R. M., Hunagund P. V.*

* Research Scholar, Department of Applied Electronics, Gulbarga University, Kalaburagi, Karnataka, India.

Professor and Chairman, Department of Applied Electronics, Gulbarga University, Kalaburagi, Karnataka, India.

* Head, University Science Instrumentation Centre, Gulbarga University, Kalaburagi, Karnataka, India.

Shiddanagouda, F. B., Vani, R. M., and Hunagund, P. V. (2018). DGS based MIMO Microstrip Antenna for Wireless Applications. i-manager's Journal on Wireless Communication Networks, 6(4), 17-22. https://doi.org/10.26634/jwcn.6.4.14576

Abstract

An octagonal split ring slot DGS (Defected Ground Structure) based MIMO (Multiple Input Multiple Output) microstrip antenna has been presented in this paper. Four ports rectangular patch elements, which are electrically small size 62.8 x 60 x 1.6 mm³ , with FR-4 substrate of dielectric constant 4.4 are proposed in the Multiple Input Multiple Output antenna. The ground plane, which is an inadequate ground structure (DGS) having a number of octagonal split ring slot DGS (OSRSDGS) windows are organised in H shape under the patch. The High-Frequency Structure Simulator (HFSS) software is used to simulate the MIMO antenna. The proposed antenna were simulated, fabricated, and measured. The proposed MIMO antenna resonates at 5.9 GHz frequency with -17.9 dB isolation with an overall bandwidth of 369 MHz. The proposed MIMO antenna results were explained in terms of reflection coefficients, data rate, Mutual Coupling Coefficients (MCC), and peak gain along with radiation pattern. The simulated and measured results give good agreement between them. The detail of the antenna design and results are presented and discussed.

References

[1]. Goswami, K., Dubey, A., Tripathi, G. C., & Singh, B. (2011). Design and analysis of rectangular microstrip antenna with PBG structure for enhancement of bandwidth. Global Journal of Research Engineering, 11(2), 22-28.

[2]. Hunugund. S., Vani. R. M. (2018). Octagonal Split Ring H Shape DGS Based MIMO Antenna for Wireless Applications. 4(4), 650-653.

[3]. Limaye, A. U., & Venkataraman, J. (2007, June). Size reduction in microstrip antennas using left-handed materials realized by complementary split-ring resonators in ground plane. In Antennas and Propagation Society International Symposium, 2007 IEEE (pp. 1869-1872). IEEE.

[4]. Mandal, M. K., & Sanyal, S. (2006). A Novel Defected Ground Structure for planar circuits. IEEE and Wireless Components Letters, 16(2), 93-95.

[5]. Park, S., & Jung, C. (2010). Compact MIMO antenna with high isolation performance. Electronics Letters, 46(6), 390-391.

[6]. Pozar, D. M., & Schaubert, D. H. (Eds.). (1995). Microstrip Antennas: The Analysis and Design of Microstrip Antennas and Arrays. John Wiley & Sons.

[7]. Scholtz, R. A., Pozar, D. M., & Namgoong, W. (2005). Ultra-wideband radio. EURASIP Journal on Applied Signal Processing, 2005, 252-272.

[8]. Svantesson, T. (2002, June). On capacity and correlation of multi-antenna systems employing multiple polarizations. In Antennas and Propagation Society International Symposium, 2002. IEEE (Vol. 3, p. 202). IEEE.

[9]. Taga, T. (1990). Analysis for mean effective gain of mobile antennas in land mobile radio environments. IEEE Transactions on Vehicular Technology, 39(2), 117-131.

[10]. Waterhouse, R. (2003). Microstrip Patch Antennas: A Designer's Guide. Springer Science & Business Media.

[11]. Wong, K. L., Chang, C. H., Chen, B., & Yang, S. (2006). Three-antenna MIMO system for WLAN operation in a PDA phone. Microwave and Optical Technology Letters, 48(7), 1238-1242.

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Research Article

Impact of Mobility on Power Consumption in RPL

Chandra Sekhar Sanaboina* , Pallamsetty Sanaboina**

* Research Scholar, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India.

** Professor, Department of Computer Science and Systems Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India.

Sanaboina, C.S., and Sanaboina, P.(2018). Impact of Mobility on Power Consumption in RPL. i-manager's Journal on Wireless Communication Networks, 6(4), 23-37. https://doi.org/10.26634/jwcn.6.4.14796

Abstract

The main theme of this paper is to implement the mobility model in Cooja simulator and to investigate the impact of the mobility on the performance of Routing Protocol over Low power Lossy networks (RPL) in the IoT environment. In the real world, mobility occurs frequently. Therefore in this paper, a frequently used mobility model - Random Way Point (RWP) is used for analysis. RWP can be readily applied to many existing applications. By default, the Cooja simulator does not support mobility models. For this, the Bonn Motion is introduced into Cooja as a plugin. As IoT deals with the resourceconstrained environment, a comparison is done between the static environment and the mobile environment in terms of power consumption. As expected, the results indicate that mobility affects the RPL in terms of Power Consumption.

References

[1]. Alenazi, M., Sahin, C., & Sterbenz, J. P. (2013). Design improvement and implementation of 3d gauss-markov mobility model (No. AFFTC-PA-12430). AIR FORCE TEST CENTER EDWARDS AFB CA.

[2]. Amoussou, G., Mohanna, H., Dziong, Z., & Kadoch, M. (2005). An OpNet implementation of Gauss-Markov mobility model and integration of link prediction algorithm in DSR protocol: A cross-layer approach. In Proceedings of OPNETWORK 2005.

[3]. Aschenbruck, N., Gerhards-Padilla, E., & Martini, P. (2013). BonnMotion: A Mobility Scenario Generation and Analysis Tool. Proceedings of the 3^rdInternational ICST Conference on Simulation Tools and Techniques (51:1-- 51:10).

[4]. Ashton, K. (2009). That 'internet of things' thing. RFID Journal, 22(7), 97-114.

[5]. Bai, F., & Helmy, A. (2004). A survey of mobility models. In Wireless Adhoc Networks (Ed.) (pp.1-30).

[6]. Bai, F., Sadagopan, N., & Helmy, A. (2003, March). IMPORTANT: A framework to systematically analyze the Impact of Mobility on Performance of RouTing protocols for Adhoc NeTworks. In INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications. IEEE Societies (Vol. 2, pp. 825-835). IEEE.

[7]. Broch, J., Maltz, D. A., Johnson, D. B., Hu, Y. C., & Jetcheva, J. (1998, October). A per formance comparison of multi-hop wireless ad hoc network routing protocols. In Proceedings of the 4^th Annual ACM/IEEE International Conference on Mobile Computing and Networking (pp. 85-97). ACM.

[8]. Camp, T., Boleng, J., & Davies, V. (2002). A survey of mobility models for ad hoc network research. Wireless Communications and Mobile Computing, 2(5), 483-502.

[9]. Davies, V. A. (2000). Evaluating mobility models within an ad hoc network (Master's thesis, Colorado School of Mines).

[10]. Delicato, F. C., Pires, P. F., & Batista, T. (2017). The Resource Management Challenge in IoT. In Resource Management for Internet of Things (pp. 7-18). Springer, Cham.

[11]. Dunkels, A., Eriksson, J., Finne, N., & Tsiftes, N. (2011). Powertrace: Network-level power profiling for low-power wireless networks. SICS Technical Report T2011:05 (p. 14).

[12]. Eriksson, J., Österlind, F., Finne, N., Tsiftes, N., Dunkels, A., Voigt, T., ... & Marrón, P. J. (2009, March). COOJA/MSPSim: Interoperability testing for wireless sensor networks. In Proceedings of the 2^nd International Conference on Simulation Tools and Techniques (p. 27). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).

[13]. Haas, Z. J. (1997, October). A new routing protocol for the reconfigurable wireless networks. In Universal Personal Communications Record, 1997. Conference Record, 1997 IEEE 6^th International Conference on (Vol. 2, pp. 562-566). IEEE.

[14]. Herberg, U., & Clausen, T. (2011, November). A comparative performance study of the routing protocols load and rpl with bi-directional traffic in low-power and lossy networks (lln). In Proceedings of the 8^th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (pp. 73-80). ACM.

[15]. Hu, Y. C., & Johnson, D. B. (2000, August). Caching strategies in on-demand routing protocols for wireless ad-hoc networks. In Proceedings of the 6^th Annual International Conference on Mobile Computing and Networking (pp. 231-242). ACM.

[16]. Johansson, P., Larsson, T., Hedman, N., Mielczarek, B., & Degermark, M. (1999, August). Scenario-based performance analysis of routing protocols for mobile ad-hoc networks. In Proceedings of the 5^th Annual ACM/IEEE International Conference on Mobile Computing and Networking (pp. 195-206). ACM.

[17]. Kaur, C. (2012). A comprehensive view of mobility models in Wireless Ad hoc Networks. Networks, 2(3), 49- 54.

[18]. Kugler, P., Nordhus, P., & Eskofier, B. (2013, May). Shimmer, Cooja and Contiki: A new toolset for the simulation of on-node signal processing algorithms. In Body Sensor Networks (BSN), 2013 IEEE International Conference on (pp. 1-6). IEEE.

[19]. Lamaazi, H., Benamar, N., & Jara, A. J. (2017). RPL-Based Networks in static and mobile environment: a performance assessment analysis. Journal of King Saud University-Computer and Information Sciences, 30(3), 320-333.

[20]. Liang, B., & Haas, Z. J. (1999, March). Predictive distance-based mobility management for PCS networks. In INFOCOM'99. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE (Vol. 3, pp. 1377-1384). IEEE.

[21]. Martocci, J., De Mil, P., Riou, N., & Vermeylen, W. (2010). Building automation routing requirements in lowpower and lossy networks (No. RFC 5867).

[22]. Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012). Internet of things: Vision, applications and research challenges. Ad Hoc Networks, 10(7), 1497- 1516.

[23]. Ortiz, A. M., Royo, F., Olivares, T., Castillo, J. C., Orozco-Barbosa, L., & Marron, P. J. (2013). Fuzzy-logic based routing for dense wireless sensor networks. Telecommunication Systems, 52(4), 2687-2697.

[24]. Radio duty cycling. (2015). In GitHub repository. Retrieved from https://github.com/contiki-os/contiki/wiki/ Radio-duty-cycling

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[26]. Royer, E. M., Melliar-Smith, P. M., & Moser, L. E. (2001). An analysis of the optimum node density for ad hoc mobile networks. In Communications, 2001. ICC 2001. IEEE International Conference on (Vol. 3, pp. 857-861). IEEE.

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[28]. Tsvetkov, T., & Klein, A. (2011). RPL: IPv6 routing protocol for low power and lossy networks. In Seminar SN SS2011 (pp. 59-66).

[29]. Vasseur, J., Agarwal, N., Hui, J., Shelby, Z., Bertrand, P., & Chauvenet, C. (2011). RPL: The IP routing protocol designed for low power and lossy networks. Internet Protocol for Smart Objects (IPSO) Alliance. Retrieved from http://www.ipso-alliance.org/wp-content/media/rpl.pdf

[30]. Weiser, M. (1999). The computer for the 21^st century. Mobile Computing and Communications Review, 3(3), 3-11.

[31]. Winter, T., Thubert, P., Brandt, A., Hui, J., Kelsey, R., Levis, P., ... & Alexander, R. (2012). RPL: IPv6 routing protocol for low-power and lossy networks (No. RFC 6550).

[32]. Zhang, T., & Li, X. (2014, August). Evaluating and Analyzing the Performance of RPL in Contiki. In Proceedings of the First International Workshop on Mobile Sensing, Computing and Communication (pp. 19-24). ACM.

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Research Paper

Secured Wireless Transmission Protocol using NTP Server

A. Karthikeyan * , S. Sai Gokul**

* Assistant Professor, Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India.

** UG Scholar, Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India.

Karthikeyan, A., and Gokul, S. A. (2018). Secured Wireless Transmission Protocol using NTP Server. i-manager's Journal on Wireless Communication Networks, 6(4), 38-43. https://doi.org/10.26634/jwcn.6.4.14294

Abstract

Wireless Sensor Networks (WSNs) comprises of low power, minimal effort active devices, which have restricted power sources. With a boundless development of the utilization of WSN, the security components are likewise considered to be a rising enormous issue. Wireless sensor plays a major role in collection of data in tedious areas. WSN are now widely used in collection of data such as temperature of a particular area and also plays a major role in military and agricultural purposes. The data that are transmitted over this network must be ensured for security. In this paper, the authors have discussed about the various attacks on the Wireless Sensor Network and proposed a new solution for the secure transmission of data in the sensor network using NTP server.

References

[1]. Karthikeyan, A., Gokul, S. S., Shalini, P., Sowmeya, R., & Varsha, R. V. (2018). An Awarding Point Technique in Wi-Fi sharing system. IJCRT, 6(1), 1267-1273.

[2]. Mahmood, K., Nazir, B., Khan, I. A., & Shah, N. (2017). Search-based routing in wireless mesh network. EURASIP Journal on Wireless Communications and Networking, 2017(1), 36. https://doi.org/10.1186/s13638-017-0818-2

[3]. Rademacher, M., Jonas, K., Siebertz, F., Rzyska, A., Schlebusch, M., & Kessel, M. (2017). Software-Defined Wireless Mesh Networking: Current Status and Challenges. The Computer Journal, Volume 60, Issue 10, 1 October 2017,13 July 2017.

[4]. Rani, S. & Nijhawan, S. (2017). Security of Wireless Mesh Network from Denial of Service Attack. International Journal of Computer Applications, 172(7), 25-29.

[5]. Reddy, K. G., & Thilagam, P. S. (2016, March). MAC layer security issues in wireless mesh networks. In AIP Conference Proceedings (Vol. 1715, No. 1, p. 020028). AIP Publishing.

[6]. Singh, V. P., Ukey, A. S. A., & Jain, S. (2013). Signal strength based hello flood attack detection and prevention in wireless sensor networks. International Journal of Computer Applications, 62(15).

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i-manager's Journal on Wireless Communication Networks (JWCN)

Current Issue Vol. 13 Issue 1

Most Read

Most Cited

Volume 6 Issue 4 January - March 2018

FER Performance Analysis of Adaptive MIMO with OSTBC for Wireless Communication by QPSK Modulation Technique

Sudha Arvind* , Siddapuram Arvind**

* Associate Professor, Department of Electronics and Communication Engineering, CMR Technical Campus, Hyderabad, Telangana, India. ** Professor and Dean, CMR Institute of Technology, Kandlakoya, Hyderabad, Telangana, India.

Arvind, S., and Arvind, S. (2018). FER Performance Analysis of Adaptive Mimo with OSTBC for Wireless Communication by QPSK Modulation Technique. i-manager's Journal on Wireless Communication Networks, 6(4), 1-9. https://doi.org/10.26634/jwcn.6.4.14258

Abstract

References

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Comparative Analysis Of Confinement Loss and Dispersion for Hexagonal Photonic Crystal Fiber Structure Doped with Specific Liquids

Sakhi Gopal Panda* , Vikas Sahu**, Akash Joshi***

*,*** PG Scholar, Department of Electronics and Telecommunications Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India. ** Assistant Professor, Department of Electronics and Telecommunications Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.

Panda, S.G., Sahu, V., and Joshi, A. (2018). Comparative Analysis of Confinement Loss and Dispersion for Hexagonal Photonic Crystal Fiber Structure Doped with Specific Liquids. i-manager's Journal on Wireless Communication Networks, 6(4), 10-16. https://doi.org/10.26634/jwcn.6.4.14233

Abstract

References

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DGS Based MIMO Microstrip Antenna for Wireless Applications

Shiddanagouda F.B.* , Vani R. M.**, Hunagund P. V.***

Shiddanagouda, F. B., Vani, R. M., and Hunagund, P. V. (2018). DGS based MIMO Microstrip Antenna for Wireless Applications. i-manager's Journal on Wireless Communication Networks, 6(4), 17-22. https://doi.org/10.26634/jwcn.6.4.14576

Abstract

References

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Impact of Mobility on Power Consumption in RPL

Chandra Sekhar Sanaboina* , Pallamsetty Sanaboina**

* Research Scholar, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India. ** Professor, Department of Computer Science and Systems Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India.

Sanaboina, C.S., and Sanaboina, P.(2018). Impact of Mobility on Power Consumption in RPL. i-manager's Journal on Wireless Communication Networks, 6(4), 23-37. https://doi.org/10.26634/jwcn.6.4.14796

Abstract

References

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Secured Wireless Transmission Protocol using NTP Server

A. Karthikeyan * , S. Sai Gokul**

* Assistant Professor, Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India. ** UG Scholar, Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India.

Karthikeyan, A., and Gokul, S. A. (2018). Secured Wireless Transmission Protocol using NTP Server. i-manager's Journal on Wireless Communication Networks, 6(4), 38-43. https://doi.org/10.26634/jwcn.6.4.14294

Abstract

References

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* Associate Professor, Department of Electronics and Communication Engineering, CMR Technical Campus, Hyderabad, Telangana, India.

** Professor and Dean, CMR Institute of Technology, Kandlakoya, Hyderabad, Telangana, India.

Sakhi Gopal Panda* , Vikas Sahu, Akash Joshi*

, PG Scholar, Department of Electronics and Telecommunications Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.

Assistant Professor, Department of Electronics and Telecommunications Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.

Shiddanagouda F.B.* , Vani R. M., Hunagund P. V.*

* Research Scholar, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India.

** Professor, Department of Computer Science and Systems Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India.

* Assistant Professor, Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India.

** UG Scholar, Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India.