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.
Periodicity:July - December'2020
DOI : 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.

Keywords

Clustering, WSN, Hybrid, Lifetime Improvement, Unequal Clustering, Cluster Rotation, Wireless Sensor Networks.

How to Cite this Article?

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

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. PrzeglÄ…d 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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