i-manager Publications

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

Current Issue Vol. 12 Issue 1

5G Wireless Communication Systems: Performance Analysis and Optimization using Massive MIMO Technology
Performance Optimization of 5G NR Technology for Industrial Automation
A Comparative Analysis of SDON and Traditional Optical Networks in Elastic Optical Environments
A Review of Techniques for Minimizing Energy Consumption and Enhancing Lifespan in Wireless Sensor Networks
NodeMCU and Wireless Sensor Networks in Agriculture: A Review of Environmental Parameter Sensing

Most Cited

Volume 9 Issue 1 July - December 2020

Research Paper

Conformal Antenna for 5G Wireless Communication Applications

Alfred P.* , Divakar M. , Gowtham S. *, Ramesh S. ****

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

Alfred, P., Divakar, M., Gowtham, S., and Ramesh, S. (2020). Conformal Antenna for 5G Wireless Communication Applications. i-manager's Journal on Wireless Communication Networks, 9(1), 1-6. https://doi.org/10.26634/jwcn.9.1.18144

Abstract

Conformal antennas are widely used in many applications for its characteristics of high radiation efficiency, high gain, reduced size and wider bandwidth. In this paper, the conformal antenna is used for its portability and light weight for public safety communications. The antenna is designed for the wearable purpose. The conformal antenna is designed and simulated using CST Microwave Studio. Textile technology is chosen for the fabrication of designed antenna. FR-4 substrate will be used as a dielectric. The simulated results are in synchronous with the target parameters. The size of the antenna is made compact and flexible. Dimension and total thickness of the antenna is given as 14.59 X 18.79 mm and 0.8 mm. The resonant frequency is achieved at 5.65 GHz and the effective bandwidth for these results is 4.5 GHz to 6 GHz with better return loss below -16 dB, achieved from the simulation. The value of reflection coefficient is obtained as 12.46 dB.

References

[1]. Bangash, K., Ali, M. M., Maab, H., & Ahmed, H. (2019, July). Design of a millimeter wave microstrip patch antenna and its array for 5G applications. In 2019, International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE. https://doi. org/10.1109/ICECCE47252.2019.8940807

[2]. Cheng, B., Du, Z., & Huang, D. (2019). A broadband low-profile multimode microstrip antenna. IEEE Antennas and Wireless Propagation Letters, 18(7), 1332-1336. https:// doi.org/10.1109/LAWP.2019.2915963

[3]. Crespo-Bardera, E., Martin, A. G., Fernandez-Duran, A., & Sanchez-Fernandez, M. (2020). Design and analysis of conformal antenna for future public safety communications: Enabling future public safety communication infrastructure. IEEE Antennas and Propagation Magazine, 62(4), 94-102. https://doi.org/10.1109/MAP.2020.3000711

[4]. Diawuo, H. A., & Jung, Y. B. (2018). Broadband proximity-coupled microstrip planar antenna array for 5G cellular applications. IEEE Antennas and Wireless Propagation Letters, 17(7), 1286-1290. https://doi.org/10.1 109/LAWP.2018.2842242

[5]. Huang, H., Li, X., & Liu, Y. (2019). A low-profile, singleended and dual-polarized patch antenna for 5G application. IEEE Transactions on Antennas and Propagation, 68(5), 4048-4053. https://doi.org/10.1109/ TAP.2019.2948743

[6]. Hussain, N., Jeong, M. J., Park, J., & Kim, N. (2019). A broadband circularly polarized fabry-perot resonant antenna using a single-layered PRS for 5G MIMO applications. IEEE Access, 7, 42897-42907. https://doi.org/ 10.1109/ACCESS.2019.2908441

[7]. Mak, K. M., Lai, H. W., & Luk, K. M. (2017). A 5G wideband patch antenna with antisymmetric L-shaped probe feeds. IEEE Transactions on Antennas and Propagation, 66(2), 957-961. https://doi.org/10.1109/TAP. 2017.2776973

[8]. Mendes, C., & Peixeiro, C. (2018). On-body transmission performance of a novel dual-mode wearable microstrip antenna. IEEE Transactions on Antennas and Propagation, 66(9), 4872-4877. https://doi.org/10.1109/ TAP.2018.2851669

[9]. Mohamadzade, B., Simorangkir, R. B., Hashmi, R. M., & Lalbakhsh, A. (2020). A conformal ultrawideband antenna with monopole-like radiation patterns. IEEE Transactions on Antennas and Propagation, 68(8), 6383-6388. https://doi. org/10.1109/TAP.2020.2969744

[10]. Muntoni, G., Montisci, G., Casula, G. A., Chietera, F. P., Michel, A., Colella, R., ... Mazzarella, G. (2020). A curved 3-D printed microstrip patch antenna layout for bandwidth enhancement and size reduction. IEEE Antennas and Wireless Propagation Letters, 19(7), 1118- 1122. https://doi.org/10.1109/LAWP.2020.2990944

[11]. Ramesh, S., & Rao, T. R. (2015a). High gain dielectric loaded exponentially tapered slot antenna array based on substrate integrated waveguide for V-band wireless communications. AEU-International Journal of Electronics and Communications, 69(1), 48-55. https://doi.org/10.10 16/j.aeue.2014.07.014

[12]. Ramesh, S., & Rao, T. R. (2015b). Indoor radio link characterization studies for millimeter wave wireless communications utilizing dielectric-loaded exponentially tapered slot antenna. Journal of Electromagnetic Waves and Applications, 29(4), 551-564. https://doi.org/10.1080/ 09205071.2015.1011349

[13]. Wen, Y., Yang, D., Zeng, H., Zou, M., & Pan, J. (2017). Bandwidth enhancement of low-profile microstrip antenna for MIMO applications. IEEE Transactions on Antennas and Propagation, 66(3), 1064-1075. https://doi.org/10.1109/TA P.2017.2787542

[14]. Wong, K. L., Chou, C. M., Yang, Y. J., & Wang, K. Y. (2019). Multipolarized wideband circular patch antenna for fifth-generation multi-input–multi-output access-point application. IEEE Antennas and Wireless Propagation Letters, 18(10), 2184-2188. https://doi.org/10.1109/LAWP. 2019.2940032

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Research Paper

Prevention and Detection of Spoofing Attack in Wireless Sensor Network

J. Nikhil John Thomas* , R. Vignesh Kumar , M. Senthil Murugan *

*-*** Department of Electronics and Communication Engineering, St. Joseph's Institute of Technology, Chennai, Tamil Nadu, India.

Thomas, J. N. J., Kumar, R. V., and Murugan, M. S. (2020). Prevention and Detection of Spoofing Attack in Wireless Sensor Network. i-manager's Journal on Wireless Communication Networks, 9(1), 7-14. https://doi.org/10.26634/jwcn.9.1.18224

Abstract

Wireless spoofing attacks are easy to work with and play an important role in the performance of a wireless sensor network. Even if a node's identity can be verified using cryptographic authentication, traditional security approaches are not always desirable due to their ground requirements. Challenging tasks in wireless sensor networks are to detect spoofing attacks, and determine the number of views to attack it, localization of multiple adversaries and eliminating them. The clustering approach is used to identify the spoofing attackers and localize them. But this approach has less accuracy in predicting the attackers. The proposed Intrusion Detection System (IDS) to detect the spoofing attackers helps in solving this problem. The cluster head act, related to IDS, is necessary to monitor the behaviour of nodes in the cluster. For example packet transmission makes it possible to determine the misbehaving nodes of the wireless sensor network. The simulation result clearly shows that the proposed scheme detects the spoofing attackers in Wireless Sensor Network efficiently and robustly. In this, the clusters are formed dynamically and periodically. A digital signature based on a specific protocol must be provided to ensure reliability and reliable data transmission for clustered wireless sensor networks. This paper includes the feasibility of the protocol in terms of security and safety during various attacks, as well as problems to solve the orphan node. The results obtained show that the proposed protocol has a better performance than existing secure protocols for a clustered wireless sensor network in terms of surface, security, and power consumption.

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Research Paper

Performance of Homogeneous Channel Estimation for Spectrum Efficient Massive MIMO Network

sarala* , Sailaja**

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

** Department of Electronics & Communication Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India.

Patchala, S., and Sailaja. (2020). Performance of Homogeneous Channel Estimation for Spectrum Efficient Massive MIMO Network. i-manager's Journal on Wireless Communication Networks, 9(1), 15-22. https://doi.org/10.26634/jwcn.9.1.18251

Abstract

The Channel Estimation (CE) is carried at the Base Station (BS) based on Up Link(UL) pilot transmission. In this paper the Minimum Mean Square Error (MMSE) estimator is analyzed. This work is to understand channel correlation spatially and how the Pilot Contamination (PC) affects its performance. The CE is described by the estimation of the channel response that has a unique pilot sequence. A Cellular Network (CN) that achieves maximum energy efficiency has been defined. In massive network, Spectrum Efficiency (SE) and Energy Efficiency (EE) are analyzed. Massive MIMO antenna allows more antennas to increase the EE and throughput.

References

[1]. Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C., & Zhang, J. C. (2014). What will 5G be? IEEE Journal on Selected Areas in Communications, 32(6), 1065-1082. https://doi.org/10.1109/JSAC.2014.2328098

[2]. Björnson, E., Larsson, E. G., & Marzetta, T. L. (2016). Massive MIMO: Ten myths and one critical question. IEEE Communications Magazine, 54(2), 114-123. https://doi. org/10.1109/MCOM.2016.7402270

[3]. Bor-Yaliniz, R. I., El-Keyi, A., & Yanikomeroglu, H. (2016, May). Efficient 3-D placement of an aerial base station in next generation cellular networks. In 2016, IEEE International Conference on Communications (ICC) (pp. 1-5). IEEE. https://doi.org/10.1109/ICC.2016.7510820

[4]. Fotouhi, A., Qiang, H., Ding, M., Hassan, M., Giordano, L. G., Garcia-Rodriguez, A., & Yuan, J. (2019). Survey on UAV cellular communications: Practical aspects, standardization advancements, regulation, and security challenges. IEEE Communications Surveys and Tutorials, 21(4), 3417-3442. https://doi.org/10.1109/COMST.2019. 2906228

[5]. Gupta, A., & Jha, R. K. (2015). A survey of 5G network: Architecture and emerging technologies. IEEE Access, 3, 1206-1232. https://doi.org/10.1109/ACCESS.2015.2461602

[6]. Jiang, F., Chen, J., Swindlehurst, A. L., &López- Salcedo, J. A. (2015). Massive MIMO for wireless sensing with a coherent multiple access channel. IEEE Transactions on Signal Processing, 63(12), 3005-3017. https://doi.org/ 10.1109/TSP.2015.2417508

[7]. Larsson, E. G., Edfors, O., Tufvesson, F., & Marzetta, T. L. (2014). Massive MIMO for next generation wireless systems. IEEE Communications Magazine, 52(2), 186-195. https:// doi.org/10.1109/MCOM.2014.6736761

[8]. Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2016). Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage. IEEE Communications Letters, 20(8), 1647-1650. https://doi.org /10.1109/LCOMM.2016.2578312

[9]. Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2016). Unmanned aerial vehicle with underlaid device-todevice communications: Performance and tradeoffs. IEEE Transactions on Wireless Communications, 15(6), 3949- 3963. https://doi.org/10.1109/TWC.2016.2531652

[10]. Mozaffari, M., Saad, W., Bennis, M., Nam, Y. H., & Debbah, M. (2019). A tutorial on UAVs for wireless networks: Applications, challenges, and open problems. IEEE Communications Surveys and Tutorials, 21(3), 2334-2360. https://doi.org/10.1109/COMST.2019.2902862

[11]. Peng, W., Zou, M., & Jiang, T. (2017). Channel prediction in time-varying massive MIMO environments. IEEE Access, 5, 23938-23946. https://doi.org/10.1109/ ACCESS.2017.2766091

[12]. Qin, Q., Gui, L., Cheng, P., & Gong, B. (2018). Timevarying channel estimation for millimeter wave multiuser MIMO systems. IEEE Transactions on Vehicular Technology, 67(10), 9435-9448. https://doi.org/10.1109/TVT.2018.2854 735

[13]. Yang, L., Zeng, Y., & Zhang, R. (2017). Channel estimation for millimeter-wave MIMO communications with lens antenna arrays. IEEE Transactions on Vehicular Technology, 67(4), 3239-3251. https://doi.org/10.1109/TVT. 2017.2779828

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Research Paper

Hybrid Unequal Clustering with Selective Rotation Protocol for Wireless Sensor Networks

Nallarasu Krishnan* , Sheela Divakaran **

* Department of Computer Science and Engineering, Tagore Engineering College, Chennai, Tamilnadu, India.

** Department of Electronics and Communication, Saveetha School of Engineering, Chennai, Tamilnadu, India.

Krishnan, N., and Divakaran, S. (2020). Hybrid Unequal Clustering with Selective Rotation Protocol for Wireless Sensor Networks. i-manager's Journal on Wireless Communication Networks, 9(1), 23-28. https://doi.org/10.26634/jwcn.9.1.18089

Abstract

Wireless Sensor Networks (WSNs) have tight energy constraints than MANET because of limited energy capacity. So the design principles of conventional networks are not appropriate for WSNs. It needs innovative perspective to arrive at solutions for its own kind of problems. Hierarchical architecture based on clustering suits well due to the uniqueness of WSNs. Even though clustering involves some overhead, its effect on the behavior of WSN is tremendous. In this paper, a new Hybrid Layering with Selective Cluster Rotation (HUCSR) protocol for the energy efficient operation of WSN has been designed. In this protocol, the cluster head rotation is done selectively. Instead of rotating it in all clusters of the WSN scenario, rotation is done based on whether it has been actively participated in data handling. Simulation results show a slight increase in the lifetime of the WSN.

References

[1]. Babaie, S., & Pirahesh, S. S. (2012). Hole detection for increasing coverage in wireless sensor network using triangular structure. International Journal of Computer Science, 9(1), 213-218.

[2]. Bhakare, K. R., Krishna, R. K., & Bhakare, S. (2012). An energy-efficient grid based clustering topology for a wireless sensor network. International Journal of Computer Applications, 39(14), 24-28.

[3]. Chen, C., Feng, L., Gu, X., Yu, J., Yu, D., & Huang, B. (2015). IDUC: An improved distributed unequal clustering protocol for wireless sensor networks. International Journal of Distributed Sensor Networks, 11(8). https://doi.org/10.11 55%2F2015%2F415702

[4]. Ever, E., Luchmun, R., Mostarda, L., Navarra, A., & Shah, P. (2012). UHEED - An unequal clustering algorithm for st wireless sensor networks. In Proceedings of the 1 International Conference on Sensor Networks (pp. 185- 193).

[5]. Ferng, H. W., Hadiputro, M., & Kurniawan, A. (2010). Design of novel node distribution strategies in coronabased wireless sensor networks. IEEE Transactions on Mobile Computing, 10(9), 1297-1311.

[6]. Huang, D. C., Tseng, H. C., Deng, D. J., & Chao, H. C. (2012). A queue-based prolong lifetime methods for wireless sensor node. Computer Communications, 35(9), 1098-1106. https://doi.org/10.1016/j.comcom.2011.11.006

[7]. Jan, N., Javaid, N., Javaid, Q., Alrajeh, N., Alam, M., Khan, Z. A., & Niaz, I. A. (2017). A balanced energyconsuming and hole-alleviating algorithm for wireless sensor networks. IEEE Access, 5, 6134-6150.

[8]. Kosar, R., Bojaxhiu, I., Onur, E., & Ersoy, C. (2011). Lifetime extension for surveillance wireless sensor networks with intelligent redeployment. Journal of Network and Computer Applications, 34(6), 1784-1793. https://doi.org/ 10.1016/j.jnca.2010.12.010

[9]. Kumar, A., Kumar, V., & Chand, N. (2011). Energy efficient clustering and cluster head rotation scheme for wireless sensor networks. International Journal of Advanced Computer Science and Applications, 3(5), 129-136.

[10]. Lin, K., Chen, M., Zeadally, S., & Rodrigues, J. J. (2012). Balancing energy consumption with mobile agents in wireless sensor networks. Future Generation Computer Systems, 28(2), 446-456. https://doi.org/10.1016/j.future. 2011.03.001

[11]. Liu, A. F., Wu, X. Y., Chen, Z. G., & Gui, W. H. (2010). Research on the energy hole problem based on unequal cluster-radius for wireless sensor networks. Computer Communications, 33(3), 302-321. https://doi.org/10.1016/ j.comcom.2009.09.008

[12]. Liu, A., Ren, J., Li, X., Chen, Z., & Shen, X. S. (2012). Design principles and improvement of cost function based energy aware routing algorithms for wireless sensor networks. Computer Networks, 56(7), 1951-1967. https:// doi.org/10.1016/j.comnet.2012.01.023

[13]. Maheswari, U. (2018). A survey on recent techniques for energy efficient routing in WSN. International Journal of Sensors and Sensor Networks, 6(1), 8-15. https://doi.org/ 10.11648/j.ijssn.20180601.12

[14]. Mahmoud, H. H., ElAttar, H. M., Saafan, A., & ElBadawy, H. (2017). Optimal operational parameters for 5G energy harvesting cognitive wireless sensor networks. IETE Technical Review, 34(sup1), 62-72. https://doi.org/10.1 080/02564602.2017.1396938

[15]. Muhammad, Z., Saxena, N., Qureshi, I. M., & Ahn, C. W. (2017). Hybrid artificial bee colony algorithm for an energy efficient internet of things based on wireless sensor network. IETE Technical Review, 34(sup1), 39-51. https://doi. org/10.1080/02564602.2017.1391136

[16]. Ray, A., & De, D. (2016). Energy efficient clustering protocol based on K-means (EECPK-means)-midpoint algorithm for enhanced network lifetime in wireless sensor network. IET Wireless Sensor Systems, 6(6), 181-191.

[17]. Sharma, R. (2015). Energy holes avoiding techniques in sensor networks: A survey. International Journal of Engineering Trends and Technology, 20(4), 204-208.

[18]. Thanigaivelu, K., & Murugan, K. (2012). Grid-based clustering with predefined path mobility for mobile sink data collection to extend network lifetime in wireless sensor networks. IETE Technical Review, 29(2), 133-147.

[19]. Thanigaivelu, K., & Murugan, K. (2012). Grid-based clustering with dual cluster heads to alleviate energy hole problem for non-uniform node distribution in wireless sensor networks. International Journal of Mobile Network Design and Innovation, 4(1), 3-13. https://doi.org/10.1504/IJMNDI. 2012.045767

[20]. Uppu, N., Subrahmanyam, B. V. S. S., & Garimella, R. (2008). An energy efficient technique to prolong network life time of Ad Hoc sensor networks [ETPNL]. IETE Technical Review, 25(4), 154-160. https://doi.org/10.4103/0256-460 2.42806

[21]. Yue, J., Zhang, W., Xiao, W., Tang, D., & Tang, J. (2013). A novel unequal cluster-based data aggregation protocol for wireless sensor networks. Przegląd Elektrotechniczny, 89(1), 20-24.

[22]. Yun, Y., & Xia, Y. (2010). Maximizing the lifetime of wireless sensor networks with mobile sink in delay-tolerant applications. IEEE Transactions on Mobile Computing, 9(9), 1308-1318.

[23]. Zhang, C., Liu, F., & Wu, N. (2014). A distributed energy-efficient unequal clustering routing protocol for wireless sensor networks. International Journal of Computational Information Systems, 10(6), 2369-2376.

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Research Paper

Compact Microstrip Antennas for 4G Applications

Jayashree P. Shinde * , Anuradha P. Kulkarni **

*-** Department of Electronics and Telecommunication, Sinhgad Academy of Engineering, Pune, Maharashtra, India.

Shinde, J. P., and Kulkarni, A. P. (2020). Compact Microstrip Antennas for 4G Applications. i-manager's Journal on Wireless Communication Networks, 9(1), 29-35. https://doi.org/10.26634/jwcn.9.1.18217

Abstract

In this work, an overview of design and challenges faced by RF engineers in the LTE/4G implementation from an RF system design perspective has been provided. LTE and LTE Advance form the next generation of the mobile communication standard in few countries. Although, LTE has already been implemented in various parts of the world, researchers are still coming up with new design challenges of such complex systems. Much focus has been thrown upon the antenna design aspect of the LTE/4G based systems. It has been noted that MIMO technology is best suited for the implementation of such robust technology, which aims in providing better channel utilization and reduced signal correlation between the adjacent channels present in the communication link. Further, a compact microstrip antenna operating at 2.4 GHz providing operation at 4G frequency band is presented. The presented antenna has good electrical and radiation characteristics for providing better services for 4G application.

References

[1]. Ban, Y. L., Li, C., Sim, C. Y. D., Wu, G., & Wong, K. L. (2016). 4G/5G multiple antennas for future multi-mode smartphone applications. IEEE Access, 4, 2981–2988. https://doi.org/10.1109/access.2016.2582786

[2]. Bhatti, S. (2019). Massive MIMO, mm wave and 5G technology insights and challenges. 3C Tecnología. Glosas De Innovación Aplicadas a La Pyme, 498-517.

[3]. Chen, Q., Lin, H., Wang, J., Ge, L., Li, Y., & Pei, T. (2018). Single ring slot-based antennas for metal-rimmed 4G/5G smartphones. IEEE Transactions on Antennas and Propagation, 67(3), 1476-1487.

[4]. Ganage, D., & Ravinder, Y. (2018, November). Wavelet-based denoising of direction of arrival estimation signals in smart antenna. In 2018, IEEE Global Conference on Wireless Computing and Networking (GCWCN) (pp. 25- 29). IEEE. https://doi.org/10.1109/gcwcn.2018.8668583

[5]. Ikram, M., Sharawi, M. S., Shamim, A., & Sebak, A. (2018). A multiband dual‐standard MIMO antenna system based on monopoles (4G) and connected slots (5G) for future smart phones. Microwave and Optical Technology Letters, 60(6), 1468-1476. https://doi.org/10.1002/mop.31 180

[6]. Liu, Y., Liu, P., Meng, Z., Wang, L., & Li, Y. (2018). A planar printed nona-band loop-monopole reconfigurable antenna for mobile handsets. IEEE Antennas and Wireless Propagation Letters, 17(8), 1575–1579. https://doi.org/ 10.1109/lawp.2018.2856459

[7]. Mathur, R., & Dwari, S. (2019). 8‐port multibeam planar UWB‐MIMO antenna with pattern and polarisation diversity. IET Microwaves, Antennas & Propagation, 13(13), 2297- 2302. https://doi.org/10.1049/iet-map.2019.0134

[8]. Pant, A., Kumar, L., & Parihar, M. S. (2018, October). Smart antenna with dynamic radiation pattern capability for 4G applications. In 2018, Conference on Information and Communication Technology (CICT) (pp. 1-5). IEEE. https://doi.org/10.1109/infocomtech.2018.8722

[9]. Parchin, N. O., Al-Yasir, Y. I., Noras, J. M., & Abd- Alhameed, R. A. (2019, March). Dual-polarized MIMO antenna array design using miniaturized self-complementary th structures for 5G smartphone applications. In 2019, 13 European Conference on Antennas and Propagation (EuCAP) (pp. 1-4). IEEE.

[10]. Saini, R. K., Dwari, S., & Mandal, M. K. (2017). CPW-fed dual-band dual-sense circularly polarized monopole antenna. IEEE Antennas and Wireless Propagation Letters, 16, 2497–2500. https://doi.org/10.1109/lawp.2017.27265 45

[11]. Saxena, S., Kanaujia, B. K., Dwari, S., Kumar, S., & Tiwari, R. (2018). MIMO antenna with built‐in circular shaped isolator for sub‐6 GHz 5G applications. Electronics Letters, 54(8), 478-480.

[12]. Sharawi, M. S., Ikram, M., & Shamim, A. (2017). A two concentric slot loop based connected array MIMO antenna system for 4G/5G terminals. IEEE Transactions on Antennas and Propagation, 65(12), 6679-6686. https://doi. org/10.1109/tap.2017.2671028

[13]. Shivapanchakshari, T. G., & Aravinda, H. S. (2017). Review of research techniques to improve system performance of smart antenna. Open Journal of Antennas and Propagation, 5(02), 83-98. https://doi.org/10.4236/oja pr.2017.52007

[14]. Sridevi, K., & Rani, A. J. (2018, October). Investigation of hybrid Hexagonal antenna arrays for Smart antenna Applications. In 2018, 3rd International Conference on Communication and Electronics Systems (ICCES) (pp. 439- 442). IEEE. https://doi.org/10.1109/cesys.2018.8724059

[15]. Yang, M., Sun, Y., & Li, F. (2019). A compact wideband printed antenna for 4G/5G/WLAN wireless applications. International Journal of Antennas and Propagation. https://doi.org/10.1155/2019/3209840

[16]. You, C., Jung, D., Song, M., & Wong, K. L. (2019, July). Advanced 12× 12 MIMO antennas for next generation 5G smartphones. In 2019, IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (pp. 1079-1080). IEEE. https://doi.org/10.1109/ apusncursinrsm.2019.8

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[18]. Zhang, J., Björnson, E., Matthaiou, M., Ng, D. W. K., Yang, H., & Love, D. J. (2020). Prospective multiple antenna technologies for beyond 5G. IEEE Journal on Selected Areas in Communications, 38(8), 1637-1660. https://doi.org/10.1109/jsac.2020.3000826

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

Current Issue Vol. 12 Issue 1

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Most Cited

Volume 9 Issue 1 July - December 2020

Conformal Antenna for 5G Wireless Communication Applications

Alfred P.* , Divakar M. **, Gowtham S. ***, Ramesh S. ****

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

Alfred, P., Divakar, M., Gowtham, S., and Ramesh, S. (2020). Conformal Antenna for 5G Wireless Communication Applications. i-manager's Journal on Wireless Communication Networks, 9(1), 1-6. https://doi.org/10.26634/jwcn.9.1.18144

Abstract

References

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Prevention and Detection of Spoofing Attack in Wireless Sensor Network

J. Nikhil John Thomas* , R. Vignesh Kumar **, M. Senthil Murugan ***

*-*** Department of Electronics and Communication Engineering, St. Joseph's Institute of Technology, Chennai, Tamil Nadu, India.

Thomas, J. N. J., Kumar, R. V., and Murugan, M. S. (2020). Prevention and Detection of Spoofing Attack in Wireless Sensor Network. i-manager's Journal on Wireless Communication Networks, 9(1), 7-14. https://doi.org/10.26634/jwcn.9.1.18224

Abstract

References

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Performance of Homogeneous Channel Estimation for Spectrum Efficient Massive MIMO Network

sarala* , Sailaja**

* Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India. ** Department of Electronics & Communication Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India.

Patchala, S., and Sailaja. (2020). Performance of Homogeneous Channel Estimation for Spectrum Efficient Massive MIMO Network. i-manager's Journal on Wireless Communication Networks, 9(1), 15-22. https://doi.org/10.26634/jwcn.9.1.18251

Abstract

References

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Hybrid Unequal Clustering with Selective Rotation Protocol for Wireless Sensor Networks

Nallarasu Krishnan* , Sheela Divakaran **

* Department of Computer Science and Engineering, Tagore Engineering College, Chennai, Tamilnadu, India. ** Department of Electronics and Communication, Saveetha School of Engineering, Chennai, Tamilnadu, India.

Krishnan, N., and Divakaran, S. (2020). Hybrid Unequal Clustering with Selective Rotation Protocol for Wireless Sensor Networks. i-manager's Journal on Wireless Communication Networks, 9(1), 23-28. https://doi.org/10.26634/jwcn.9.1.18089

Abstract

References

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Compact Microstrip Antennas for 4G Applications

Jayashree P. Shinde * , Anuradha P. Kulkarni **

*-** Department of Electronics and Telecommunication, Sinhgad Academy of Engineering, Pune, Maharashtra, India.

Shinde, J. P., and Kulkarni, A. P. (2020). Compact Microstrip Antennas for 4G Applications. i-manager's Journal on Wireless Communication Networks, 9(1), 29-35. https://doi.org/10.26634/jwcn.9.1.18217

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Alfred P.* , Divakar M. , Gowtham S. *, Ramesh S. ****

J. Nikhil John Thomas* , R. Vignesh Kumar , M. Senthil Murugan *

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

** Department of Electronics & Communication Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India.

* Department of Computer Science and Engineering, Tagore Engineering College, Chennai, Tamilnadu, India.

** Department of Electronics and Communication, Saveetha School of Engineering, Chennai, Tamilnadu, India.