i-manager Publications

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 10 Issue 1 July - December 2021

Research Paper

Implementation of Multi Protocol Label Switching Layer 3 VPN

T. U. Reshma* , Komala James**

*-** Department of Electronics and Communication Engineering, Valliammai Engineering College, Tamil Nadu, India.

Reshma, T. U., and James, K. (2021). Implementation of Multi Protocol Label Switching Layer 3 VPN. i-manager’s Journal on Wireless Communication Networks, 10(1), 1-7. https://doi.org/10.26634/jwcn.10.1.15078

Abstract

Nowadays, the VPN (Virtual Private Network) technique is one of the most common and important implementations in IT and other companies. VPN technology is divided into two categories: (i) overlay VPN and (ii) peer-to-peer VPN. In overlay VPN, ATM and frame relay are included, and peer-to-peer VPN includes IP-routing. VPN technology is becoming more and more important because of its security, convenience of working with VPN, real-time application, and low construction cost. When compared to traditional VPN, MPLS VPN (Multiprotocol Label Switching) is a good solution for real-time. MPLS VPN is an advanced technology, and it has advanced features. MPLS VPN has functions like FEC, VRF, MPBGP, and VPNv4. These functions are used to overcome the disadvantages of traditional VPNs. The disadvantages of traditional VPNs are (i) complex management, (ii) lack of availability, (iii) complex implementation, (iv) expansibility, and (v) customer address overlapping. In this paper, the implementation of the MPLS layer 3 VPN technique is used to connect and share information between different branches of different customers which are geographically separated. Here, a private IP address instead of a public IP address is used to connect and share the information. The MPLS VPN technique is used to provide flexibility for the customer through their ISP (Internet Service Provider).

References

[1]. Ahmed, F., Butt, Z. U., & Siddiqui, U. A. (2016). MPLS based VPN Implementation in a Corporate Environment. Journal of Information Technology & Software Engineering, 6(5), 1-7. https://doi.org/10.4172/2165- 7866.1000193

[2]. Atefi, K., Shahin, A. H., Yahya, S., & Erfanian, A. (2016, August). Performance evaluation of RIP and EIGRP Routing Protocols in IEEE 802.3 u standard. In 2016, 3^rd International Conference on Computer and Information Sciences (ICCOINS) (pp. 209-214). IEEE.

[3]. Dumitrache, C. G., Predusca, G., Circiumarescu, L. D., Angelescu, N., & Puchianu, D. C. (2017, October). Comparative study of RIP, OSPF and EIGRP protocols using Cisco Packet Tracer. In 2017, 5^th International Symposium on Electrical and Electronics Engineering (ISEEE) (pp. 1-6). IEEE. https://doi.org/10.1109/ISEEE.2017.8170694

[4]. Jain, E. S. (2012). Performance analysis of voice over multiprotocol label switching communication networks with traffic engineering. International Journal of Advanced Research in Computer Science and Software Engineering, 2(7), 195-199.

[5]. Kanmani, M., & Hemalatha, S. B. (2015). Implementation of Multi-Protocol Label Switching–Virtual Private Network for Corporate Networks. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 4(2), 485-490.

[6]. Kumar, S. P., Lenin, D. S., & Pandiaraj, P. (2017). MPLS based Inter VPN connectivity between different ISP'S. International Journal of Informative & Futuristic Research, 4(7), 6807-6816.

[7]. Mehraban, S., Vora, K. B., & Upadhyay, D. (2014). MPLS VPN using VRF (Virtual Routing and Forwarding). International Journal of Advance Research, Ideas and Innovations in Technology, 3(6), 135-139.

[8]. Mirzahossein, K., Nguyen, M., & Elmasry, S. (2013). Analysis of RIP, OSPF, and EIGRP routing protocols using opnet. Simon Fraser University, School of Engineering Science, (pp.1-19).

[9]. Naoum, R. S., & Maswady, M. (2012). Performance Evaluation for VOIP over IP and MPLS. World of Computer Science and Information Technology Journal (WCSIT), 2(3), 110-114.

[10]. Ravikumar, C. V., Dhanumjayulu, C., Bagubali, A., & Bagadi, K. P. (2017). Architecture for MPLS L3 VPN Deployment in Service Provider Network. Journal of Telecommunications System & Management, 6(1), 1-4. 10.4172/2167-0919.1000152.

[11]. Rawat, T. S., Pandey, M. K., & Kumar, U. (2015). A Review paper on MPLS VPN architecture. International Journal of Engineering Technology, Management and Applied Sciences, 3(5), 32-39.

[12]. Shawl, R. Q., Thaker, R., & Singh, E. J. (2014). A Review: Multi Protocol Label Switching (Mpls). International Journal of Engineering Research and Applications, 4(1), 66-70.

[13]. Singh, G., & Moudgil, E. M. (2015). Comparative Analysis of MPLS Layer 2 VPN Techniques. International Journal of Computer Science Trends and Technology (IJCST), 3(4), 90-98.

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Research Paper

Collision Avoidance in Vehicular AD HOC Network using 802.11 P Protocol

Geetha Rani P.*

Department of Electronics & Communication Engineering, R. V. College of Engineering, Bangalore, Karnataka, India.

Geetha Rani, P. (2021). Collision Avoidance in Vehicular AD HOC Network using 802.11 P Protocol. i-manager’s Journal on Wireless Communication Networks, 10(1), 8-13. https://doi.org/10.26634/jwcn.10.1.15488

Abstract

This paper presents intersection collision avoidance in a vehicular ad hoc network. A vehicular ad hoc network (VANET) is a technology that uses moving vehicles as network nodes to create a mobile network. In VANET, every participating vehicle is a wireless router or node. When vehicles are intersected at a crossing, an accident situation will occur. To avoid this situation, the congestion control concept is presented in this paper. This paper reviews various existing MAC protocols used for congestion avoidance. In this paper, IEEE 802.11 protocols are used for congestion avoidance of vehicles.

References

[1]. Almalag, M. S., Olariu, S., & Weigle, M. C. (2012, June). Tdma cluster-based MAC for VANETs (TC-MAC). In 2012, IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM) (pp. 1-6). IEEE. https://doi.org/ 10.1109/WoWMoM.2012.6263796

[2]. Choi, Y. H., Rajkumar, R., Mudalige, P., & Bai, F. (2009, September). Adaptive location division multiple access for reliable safety message dissemination in VANETs. In 2009, 6^th International Symposium on Wireless Communication Systems (pp. 565-569). IEEE. https://doi.org/ 10.1109/ISWCS.2009.5285227

[3]. Fazlulhaq, N. (2020). Cheap and Dangerous Vehicle Imports to be Cut. Retrieved from https://www. sundaytimes.lk/210228/news/cheap-and-dangerousvehicle- imports-to-be-cut-434028.html

[4]. Ghassan, S., Sureswaran, R., Wafaa, A. H., & Salihy, A. I. (2010). Safety message power transmission control for vehicular ad hoc networks. Computer Science, 6(10), 1027-1032.

[5]. Hernandez-Jayo, U., Mammu, A. S. K., & De-la Iglesia, I. (2014). Reliable communication in cooperative ad hoc networks. Contemporary Issues in Wireless Communications. https://doi.org/ 10.5772/59041

[6]. Kolte, S. R., & Madnkar, M. S. (2014, April). A design approach of congestion control for safety critical message transmission in VANET. In 2014, Fourth International Conference on Communication Systems and Network Technologies (pp. 298-301). IEEE. 1 https://doi.org/ 0.1109/CSNT.2014.65

[7]. Omar, H. A., Zhuang, W., & Li, L. (2012). VeMAC: A TDMA-based MAC protocol for reliable broadcast in VANETs. IEEE Transactions on Mobile Computing, 12(9), 1724-1736. https://doi.org/ 10.1109/TMC.2012.142

[8]. Paranjothi, A., Khan, M. S., & Zeadally, S. (2020). Survey of different Traffic Congestion Control Techniques in VANET. International Journal of Advanced Research in Computer Science and Software Engineering. https://doi.org/10.1016/j.adhoc.2020.102277

[9]. Sahoo, J., Wu, E. H. K., Sahu, P. K., & Gerla, M. (2013). Congestion-controlled-coordinator-based MAC for safety-critical message transmission in VANETs. IEEE Transactions on Intelligent Transportation Systems, 14(3), 1423-1437. https://doi.org/ 10.1109/TITS.2013.2264320

[10]. Samara, G., & Alhmiedat, T. (2014). Intelligent emergency message broadcasting in VANET using PSO. World of Computer Science and Information Technology Journal (WCSIT), 4(7), 90-100. https://doi.org/10.48550/ arXiv.1406.7399

[11]. Yu, F., & Biswas, S. (2007). Self-configuring TDMA protocols for enhancing vehicle safety with DSRC based vehicle-to-vehicle communications. IEEE Journal on Selected Areas in Communications, 25(8), 1526-1537. https://doi.org/ 10.1109/JSAC.2007.071004

[12]. Zhang, W., Festag, A., Baldessari, R., & Le, L. (2008, October). Congestion control for safety messages in VANETs: Concepts and framework. In 2008, 8^th International Conference on ITS Telecommunications (pp. 199-203). IEEE. https://doi.org/ 10.1109/ITST.2008. 4740256

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Research Paper

Metamaterial Inspired Four Band Antenna for Wireless Applications

M. Ashok Kumar* , P. Narayana Rao, V. V. S. S. Sameer Chakravarthy*

*-*** Department of Electronics and Communication Engineering, Raghu Institute of Technology,Visakhapatnam, Andhra Pradesh, India.

Kumar, M. A., Rao, P. N., and Chakravarthy, V. V. S. S. S. (2021). Metamaterial Inspired Four-Band Antenna for Wireless Applications. i-manager’s Journal on Wireless Communication Networks, 10(1), 14-19. https://doi.org/10.26634/jwcn.10.1.16804

Abstract

Antennas have evolved rapidly since the advent of the wireless network. With the emergence of many new wireless standards in each generation of wireless networks, multi-band antennas have been developed to combine many standards into one device. In this paper, the authors have designed and studied a four-band patch antenna by CPW feeding for modern wireless communication systems, GPS navigation, Wi-Fi, and satellite communication applications. Simulation results of the antenna show that the antenna radiates at four frequency bands, such as 1.8356 GHz for the GPS standard, 2.9765 GHz, 3.7902 GHz, and 5.3977 GHz frequency bands for WLAN standards IEEE 802.11a and IEEE 802.11b & g, and 3GHz–3.63GHz for the WiMAX standard. The proposed antenna results are carried out by the CST software. The antenna characteristics such as return loss, VSWR, radiation pattern, and 3D polar plots are analyzed.

References

[1]. Babu, M. A., Madhav, B. T. P., Vaishnavi, D. N., Radhakrishna, P., Bharath, N., Madhuri, K., ... & Harish, K. (2015). Flared V-shape slotted monopole multiband antenna with metamaterial loading. International Journal of Communications Antenna Propagation, 5(2), 93-97.

[2]. Bhavani, K. V. L., Khan, H., & Madhav, B. T. P. (2015). Multiband slotted aperture antenna with defected ground structure for C and X-band communication applications. Journal of Theoretical and Applied Information Technology, 82(3), 454-461.

[3]. Bhavani, V. L., Khan, H., & Madhav, B. T. P. (2017). CPWFED triangular serrated slot antenna for wideband applications. ARPN Journal of Engineering and Applied Sciences, 12(4), 1039-1045.

[4]. Herraiz-Martínez, F. J., Zamora, G., Paredes, F., Martín, F., & Bonache, J. (2011). Multiband printed monopole antennas loaded with OCSRRs for PANs and WLANs. IEEE Antennas and Wireless Propagation Letters, 10, 1528- 1531. https://doi.org/10.1109/LAWP.2011.2181309

[5]. Krishna, T. R., Madhav, B. T. P., Krishna, T. S. R., Sravanthi, K., & Gopi, G. D. (2016). Strip Loaded Closed Loop Resonator Based Multiband Defected Ground Structured Antenna. Journal of Engineering and Applied Sciences, 11(6), 1417-1422.

[6]. Kumari, A. N. M., Madhav, B. T. P., & Yamini, K. L. (2017). A CPW fed monopole antenna with uniplanar EBG and rhombic CSRR exhibiting multiband characteristics. International Journal of Control Theory and Applications, 10(1), 267-275.

[7]. Madhav, B. T. P., Kranthi, D. L., & Devi, C. K. (2019). A multiband mimo antenna for S and C-Band communication applications. ARPN Journal of Engineering and Applied Sciences,10(14), 6014-6022.

[8]. Madhav, B. T. P., Ujwala, D. H., Khan, H., Reddy, K. M. K., Gorijala, D., & Kishore, D. L. (2016). Multiband slot aperture stacked patch antenna for wireless communication applications. International Journal of Computer Aided Engineering and Technology, 8(4), 413- 423.

[9]. Madhav, B. T. P., Vaishnavi, D. N., Vanaja, G., Jayasree, G., & Mounika, S. (2015). Design and analysis of metamaterial antenna with EBG loading. Far East Journal of Electronics and Communications, 14(2), 127- 136. https://doi.org/10.17654/FJECJun2015_127_136

[10]. Phanisrinivas, K., Khan, H., & Madhav, B. T. P. (2016). Multiband MSP Spiral Slot Antenna with Defected Ground Structure. ARPN Journal of Engineering and Applied Sciences, 11(15), 9461-9470.

[11]. Sundar, P. S., Kotamraju, S. K., Madhav, B. T. P., Sreehari, M., Rao, K. R., Prathyusha, L., & Pravallika, Y. (2016). Parasitic Strip Loaded Dual Band Notch Circular Monopole Antenna with Defected Ground Structure. International Journal of Electrical & Computer Engineering, 6(4), 1742-1750.

[12]. Zhu, C., Li, T., Li, K., Su, Z. J., Wang, X., Zhai, H. Q., ... & Liang, C. H. (2015). Electrically small metamaterialinspired tri-band antenna with meta-mode. IEEE Antennas and Wireless Propagation Letters, 14, 1738-1741. https://doi.org/10.1109/LAWP.2015.2421356

[13]. Zhu, C., Ma, J. J., Li, L., & Liang, C. H. (2010). Multiresonant metamaterial based on asymmetric triangular electromagnetic resonators. IEEE Antennas and W i r e l e s s P r o p a g a t i o n L e t t e r s , 9 , 9 9 - 1 0 2 . https://doi.org/10.1109/LAWP.2010.2042922

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Research Paper

Power Management using Neural Networks for Wireless Sensor Network

Anil Dattatraya Nimbalkar*

Department of Electronics & Telecommunication Engineering, Kolhapur Institute of Technology's College of Engineering (Autonomous), Kolhapur, Maharashtra, India.

Nimbalkar, S. A. D. (2021). Power Management using Neural Networks for Wireless Sensor Network. i-manager’s Journal on Wireless Communication Networks, 10(1), 20-27. https://doi.org/10.26634/jwcn.10.1.18497

Abstract

Intelligent analysis is used to process the structure of a wireless sensor network (WSN) and produce some information that can be used to improve the performance of the WSN's management applications. This paper introduces a new approach for wireless sensor networks which is based on neural networks. The presented work is an intelligent method based on the existing concept of multi-agent systems for WSN management. The proposed work shows a performance improvement. Wireless sensor networks need to be managed in different ways, e.g. power consumption of each sensor, efficient data routing without redundancy, control of data reading and sending intervals, etc. The random distribution of wireless sensors, the numerous variables that affect the operation of the WSN, and the uncertainty of various algorithms (for example, self-localization of sensors) make the WSN fuzzy. Given this fuzzy nature and numerous details, a neural network is an ideal tool to use to cover these details, which are so difficult to detect and explicitly, model. This paper presents a neural network-based approach, which results in more efficient routing path discovery and sensor power management.

References

[1]. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications Magazine, 40(8), 102-114. https://doi. org/10.1109/MCOM.2002.1024422

[2]. Al-Karaki, J. N., & Kamal, A. E. (2004). Routing techniques in wireless sensor networks: a survey. IEEE Wireless Communications, 11(6), 6-28. https://doi.org/10. 1109/MWC.2004.1368893

[3]. Biswas, S., & Morris, R. (2003). Opportunistic routing in multi-hop wireless networks. MIT Laboratory for Computer Science, (pp. 1-6).

[4]. Chang, J. H., & Tassiulas, L. (2000, March). Energy conserving routing in wireless ad-hoc networks. In Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No. 00CH37064) (Vol. 1, pp. 22-31). IEEE. https://doi.org/10.1109/INFCOM.2000.832170

[5]. Chong, C. Y., & Kumar, S. P. (2003). Sensor networks: evolution, opportunities, and challenges. Proceedings of the IEEE, 91(8), 1247-1256. https://doi.org/10.1109/ JPROC.2003.814918

[6]. Fok, C. L., Roman, G. C., & Lu, C. (2005, April). Mobile agent middleware for sensor networks: An application case study. In IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005. (pp. 382-387). IEEE. https://doi.org/10.1109/IPSN.2005. 1440953

[7]. Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000, January). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33^rd Annual Hawaii International Conference on System Sciences (pp. 10-pp). IEEE.

[8]. Hosseingholizadeh, A., & Abhari, A. (2009, March). A new agent-based solution for wireless sensor networks management. In Proceedings of the 2009 Spring Simulation Multiconference (pp. 1-6).

[9]. Hu, L., Li, Y., Chen, Q., Liu, J. Y., & Long, K. P. (2007, September). A new energy-aware routing protocol for wireless sensor networks. In 2007, International Conference on Wireless Communications, Networking and Mobile Computing (pp. 2444-2447). IEEE. https://doi.org/10.1109/WICOM.2007.609

[10]. Hussain, S., Shakshuki, E., & Matin, A. W. (2006, April). Agent-based system architecture for wireless sensor networks. In 20^th International Conference on Advanced Information Networking and Applications-Volume 1 (AINA'06) (Vol. 2, pp. 5-pp). IEEE. https://doi.org/10.1109/ AINA.2006.76

[11]. Lim, H. B., Wang, B., Fu, C., Phull, A., & Ma, D. (2008, June). A middleware services simulation platform for wireless sensor networks. In 2008, The 28^th International Conference on Distributed Computing Systems Workshops (pp. 168-173). IEEE. https://doi.org/10.1109/ ICDCS.Workshops.2008.101

[12]. Tynan, R., Marsh, D., O'kane, D., & O'Hare, G. M. (2005, June). Agents for wireless sensor network power management. In 2005, International Conference on Parallel Processing Workshops (ICPPW'05) (pp. 413-418). IEEE. https://doi.org/10.1109/ICPPW.2005.19

[13]. Ying, Z., & Debao, X. (2005, September). Mobile agent-based policy management for wireless sensor networks. In 2005, Proceeding of International Conference on Wireless Communications, Networking and Mobile Computing, (Vol. 2, pp. 1207-1210). IEEE. https://doi.org/10.1109/WCNM.2005.1544270

[14]. Zhang, Y., Ramkumar, M., & Memon, N. (2004, November). Information flow based routing algorithms for w i r e l e s s s e n s o r n e t w o r k s . I n I E E E G l o b a l Telecommunications Conference, 2004. GLOBECOM'04. (Vol. 2, pp. 742-747). IEEE. https://doi.org/10.1109/ GLOCOM.2004.1378059

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Review Paper

A Review on MIMO OFDM Wireless Channel Prediction

P. V. V. Geeta * , K. Suresh**

*-** Department of Electronics & Communication Engineering, Chaitanya Engineering College, Visakhapatnam, Andhra Pradesh, India.

Geeta, P. V. V., and Suresh, K. (2021). A Review on MIMO OFDM Wireless Channel Prediction. i-manager’s Journal on Wireless Communication Networks, 10(1), 28-35. https://doi.org/10.26634/jwcn.10.1.16805

Abstract

Multiple Inputs Multiple Output (MIMO) is a wireless technology combined with Orthogonal Frequency Division Multiplexing (OFDM) to ensure that the signals are transmitted orthogonally with each other. It is the continuous growth and improvement of the communication environment. It provides reliability, the highest throughput, data throughput, reliable high data rate, high spectral efficiency, high data rate, and resource allocation. The main purpose of this paper is to provide an overview of the fundamentals of MIMO-OFDM channel techniques.

References

[1]. Bolcskei, H. (2006). MIMO-OFDM wireless systems: basics, perspectives, and challenges. IEEE Wireless Communications, 13(4), 31-37. https://doi.org10.1109/ MWC.2006.1678163

[2]. Jayakumari, J. (2010). MIMO-OFDM for 4G wireless systems. International Journal of Engineering Science and Technology, 2(7), 2886-2889.

[3]. Karkare, S. A. (2013). Wireless Systems using MIMOOFDM– Review. International Journal of Computer & Communication Engineering Research (IJCCER), 1(2), 53-55.

[4]. Li, Y., Chuang, J. C., & Sollenberger, N. R. (1999). Transmitter diversity for OFDM systems and its impact on high-rate data wireless networks. IEEE Journal on Selected Areas in Communications, 17(7), 1233-1243. https://doi.org 10.1109/49.778182

[5]. Liu, L., Feng, H., Yang, T., & Hu, B. (2014). MIMO-OFDM Wireless Channel Prediction by Exploiting Spatial- Temporal Correlation. IEEE Transactions on Wireless Communications, 13(1), 310-319. https://doi.org 10.1109/TWC.2013.112613.130455

[6]. Malik, R. A., Shabir, S., & Singla, R. (2016). Review on OFDM: Concept, scope and its application. International Journal of Computer Sciences and Engineering, (pp. 48- 50).

[7]. Stuber, G. L., Barry, J. R., Mclaughlin, S. W., Li, Y., Ingram, M. A., & Pratt, T. G. (2004). Broadband MIMO-OFDM wireless communications. Proceedings of the IEEE, 92(2), 271-294. https://doi.org10.1109/JPROC.2003.821912

[8]. Sure, P., & Bhuma, C. M. (2017). A survey on OFDM channel estimation techniques based on denoising strategies. Engineering Science and Technology, an International Journal, 20(2), 629-636. https://doi.org/10. 1016/j.jestch.2016.09.011

[9]. Tarokh, V., Alamouti, S.M., Koivunen., V., & Kim, K. (2007). MIMO-OFDM and its application. Journal of Communications and Networks, 9(2), 109-111. https://doi.org 10.1109/JCN.2007.6182828

[10]. Thakur, R. S., & Jain, S. (2015). A review MIMO-OFDM systems for LTE environment. International Journal of Electrical, Electronics and Computer Engineering, 4(2), 13-18.

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

Current Issue Vol. 13 Issue 1

Most Read

Most Cited

Volume 10 Issue 1 July - December 2021

Implementation of Multi Protocol Label Switching Layer 3 VPN

T. U. Reshma* , Komala James**

*-** Department of Electronics and Communication Engineering, Valliammai Engineering College, Tamil Nadu, India.

Reshma, T. U., and James, K. (2021). Implementation of Multi Protocol Label Switching Layer 3 VPN. i-manager’s Journal on Wireless Communication Networks, 10(1), 1-7. https://doi.org/10.26634/jwcn.10.1.15078

Abstract

References

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Collision Avoidance in Vehicular AD HOC Network using 802.11 P Protocol

Geetha Rani P.*

Department of Electronics & Communication Engineering, R. V. College of Engineering, Bangalore, Karnataka, India.

Geetha Rani, P. (2021). Collision Avoidance in Vehicular AD HOC Network using 802.11 P Protocol. i-manager’s Journal on Wireless Communication Networks, 10(1), 8-13. https://doi.org/10.26634/jwcn.10.1.15488

Abstract

References

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Metamaterial Inspired Four Band Antenna for Wireless Applications

M. Ashok Kumar* , P. Narayana Rao**, V. V. S. S. Sameer Chakravarthy***

*-*** Department of Electronics and Communication Engineering, Raghu Institute of Technology,Visakhapatnam, Andhra Pradesh, India.

Kumar, M. A., Rao, P. N., and Chakravarthy, V. V. S. S. S. (2021). Metamaterial Inspired Four-Band Antenna for Wireless Applications. i-manager’s Journal on Wireless Communication Networks, 10(1), 14-19. https://doi.org/10.26634/jwcn.10.1.16804

Abstract

References

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Power Management using Neural Networks for Wireless Sensor Network

Anil Dattatraya Nimbalkar*

Department of Electronics & Telecommunication Engineering, Kolhapur Institute of Technology's College of Engineering (Autonomous), Kolhapur, Maharashtra, India.

Nimbalkar, S. A. D. (2021). Power Management using Neural Networks for Wireless Sensor Network. i-manager’s Journal on Wireless Communication Networks, 10(1), 20-27. https://doi.org/10.26634/jwcn.10.1.18497

Abstract

References

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A Review on MIMO OFDM Wireless Channel Prediction

P. V. V. Geeta * , K. Suresh**

*-** Department of Electronics & Communication Engineering, Chaitanya Engineering College, Visakhapatnam, Andhra Pradesh, India.

Geeta, P. V. V., and Suresh, K. (2021). A Review on MIMO OFDM Wireless Channel Prediction. i-manager’s Journal on Wireless Communication Networks, 10(1), 28-35. https://doi.org/10.26634/jwcn.10.1.16805

Abstract

References

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M. Ashok Kumar* , P. Narayana Rao, V. V. S. S. Sameer Chakravarthy*