Abstract
The coverage of the monitoring field is the most important issue in geographical regions, traffic, and battlefields. Although the coverage-enhancing clustering algorithms for homogeneous WSNs have been investigated, heterogeneity in context to energy, sensing range, pre-determined deployment scenario, etc., has not been explored. In this paper, heterogeneous weight-based coverage-enhancing protocol (H-WCEP) is proposed that incorporates heterogeneity of sensors in terms of initial energy for load balancing at geographically far away sensors from the sink. The drop in the remaining energy and subsequent decrease in coverage has been overcome by deploying a certain number of higher initial energy sensors in specific areas. Thus, the H-WCEP achieves an increase in the lifetime of the network and full coverage of the monitoring area for a longer time. The simulation results show that H-WCEP outperforms as compare to existing coverage-enhancing clustering algorithms.
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Siqueira, I.G., Ruiz, L.B., Loureiro, A.A.F. 2014. Coverage area management for wireless sensor networks. International Journal of Network Management 17–31. https://doi.org/10.1002/nem.
Verdone, R., D. Dardari, G. Mazzini, and A. Conti. 2009. Applications of WSANs. In Wireless sensor and actuator networks: technologies, analysis, and design, ed. T. Pitts, 16–21. Hoboken, New Jersey: Wiley.
Dargie, W., and P. Christian. 2010. Motivation for a network of wireless sensor nodes. In Fundamentals of wireless sensor networks theory and practice, ed. Xuemin (Sherman), Yi Pan, 17–32. Willey Series on Wireless Communications and Mobile Computing.
Mamalis, B., D. Gavalas, C. Konstantopoulos, and G. Pantziou. 2009. Clustering in Wireless Sensor Networks. In RFID and sensor networks: architectures, protocols, security, and integrations, ed. Y. Zhang, L.T. Yang, and J. Chen, 323–354. New York, USA: CRC Press, Taylor and Francis Group.
Sohal, A.K., A.K. Sharma, and N. Sood. 2017. enhancing coverage using weight based clustering in wireless sensor networks. Wireless Personal Communications 98: 3505–3526. https://doi.org/10.1007/s11277-017-5026-1.
Soro, S., and W.B. Heinzelman. 2009. Cluster head election techniques for coverage preservation in wireless sensor networks. Ad Hoc Networks 7: 955–972. https://doi.org/10.1016/j.adhoc.2008.08.006.
Ben-Othman, J., K. Bessaoud, A. Bui, and L. Pilard. 2013. Self-stabilizing algorithm for efficient topology control in wireless sensor networks. Journal of Computer Science 4: 199–208. https://doi.org/10.1016/j.jocs.2012.01.003.
Agrawal, D.P. 2011. Designing wireless sensor networks: from theory to applications. Central European Journal of Computer Science 1: 2–18. https://doi.org/10.2478/s13537-011-0007-z.
Patnaik, S., X. Li, and Y.-M. Yang. 2014. Recent development in wireless sensor and ad-hoc networks, vol. 233. https://doi.org/10.1007/978-81-322-2129-6.
Wang, Yun, L.J. Zhang Yanping, and R. Bhandari. 2015. Coverage, connectivity, and deployment in wireless sensor networks. Recent Development in Wireless Sensor and Ad-hoc Networks, Signals and Communication Technology 25–44. https://doi.org/10.1007/978-81-322-2129-6_2.
Sohal, A.K., A.K. Sharma, and N. Sood. 2019. A study on energy efficient routing protocols in wireless sensor networks. International Journal of Distributed and Parallel Systems (IJDPS) 6: 9–17. https://doi.org/10.5121/ijdps.2012.3326.
Özdemir, S., B.A. Attea, Ö.A. Khalil. 2012. Multi-objective evolutionary algorithm based on decomposition for energy efficient coverage in wireless sensor networks. Wireless Personal Communications 195–215. https://doi.org/10.1007/s11277-012-0811-3.
Zeyu, S., W. Huanzhao, W. Weiguo, and X. Xiaofei. 2015. ECAPM : An enhanced coverage algorithm in wireless sensor network based on probability model. 2015. https://doi.org/10.1155/2015/203502.
Amgoth, T., and P.K. Jana. 2015. Energy and coverage-aware routing algorithm for wireless sensor networks. Wireless Personal Communications 81: 531–545. https://doi.org/10.1007/s11277-014-2143-y.
Mostafaei, H., and M.R. Meybodi. 2014. An energy-efficient barrier coverage algorithm for wireless sensor networks. Wireless Personal Communications 77: 2099–2115. https://doi.org/10.1007/s11277-014-1626-1.
Gu, X., J. Yu, D. Yu, G. Wang, and Y. Lv. 2014. ECDC: An energy and coverage-aware distributed clustering protocol for wireless sensor networks. Computers & Electrical Engineering 40: 384–398. https://doi.org/10.1016/j.compeleceng.2013.08.003.
Heinzelman, W.B., A.P. Chandrakasan, and H. Balakrishnan. 2002. An Application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications 1: 660–670. https://doi.org/10.1109/TWC.2002.804190.
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Sohal, A.K., Sharma, A.K., Sood, N. (2020). Energy-Efficient Heterogeneous WCEP for Enhancing Coverage Lifetime in WSNs. In: Hu, YC., Tiwari, S., Trivedi, M., Mishra, K. (eds) Ambient Communications and Computer Systems. Advances in Intelligent Systems and Computing, vol 1097. Springer, Singapore. https://doi.org/10.1007/978-981-15-1518-7_3
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DOI: https://doi.org/10.1007/978-981-15-1518-7_3
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