Energy-Efficient Heterogeneous WCEP for Enhancing Coverage Lifetime in WSNs
- 11 Downloads
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.
KeywordsClustering Wireless sensor networks Energy efficient Coverage Network lifetime
- 1.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.
- 2.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.Google Scholar
- 3.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.Google Scholar
- 4.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.Google Scholar
- 9.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.
- 10.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.
- 12.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.
- 13.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.