An Energy Efficient Multi-hop Cluster-Head Election Strategy for Wireless Sensor Networks
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초록
According to the double-phase cluster-head election method (DCE), the final cluster heads (CHs) sometimesare located at the edge of cluster. They have a long distance from the base station (BS). Sensor data is directlytransmitted to BS by CHs. This makes some nodes consume much energy for transmitting data and die earlier. To address this problem, energy efficient multi-hop cluster-head election strategy (EEMCE) is proposed in thispaper. To avoid taking these nodes far from BS as CH, this strategy first introduces the distance from the sensornodes to the BS into the tentative CH election. Subsequently, in the same cluster, the energy of tentative CH iscompared with those of other nodes, and then the node that has more energy than the tentative CH and beingnearest the tentative CH are taken as the final CH. Lastly, if the CH is located at the periphery of the network,the multi-hop method will be employed to reduce the energy that is consumed by CHs. The simulation resultssuggest that the proposed method exhibits higher energy efficiency, longer stability period and better scalabilitythan other protocols.
Abstract
According to the double-phase cluster-head election method (DCE), the final cluster heads (CHs) sometimesare located at the edge of cluster. They have a long distance from the base station (BS). Sensor data is directlytransmitted to BS by CHs. This makes some nodes consume much energy for transmitting data and die earlier. To address this problem, energy efficient multi-hop cluster-head election strategy (EEMCE) is proposed in thispaper. To avoid taking these nodes far from BS as CH, this strategy first introduces the distance from the sensornodes to the BS into the tentative CH election. Subsequently, in the same cluster, the energy of tentative CH iscompared with those of other nodes, and then the node that has more energy than the tentative CH and beingnearest the tentative CH are taken as the final CH. Lastly, if the CH is located at the periphery of the network,the multi-hop method will be employed to reduce the energy that is consumed by CHs. The simulation resultssuggest that the proposed method exhibits higher energy efficiency, longer stability period and better scalabilitythan other protocols.
참고문헌 (25)
- S. P. Singh, "A survey on cluster based routing protocols in wireless sensor networks", Procedia Computer Science, 45, pp.687~695 (2015)
- F. K. Shaikh, "Energy harvesting in wireless sensor networks : a comprehensive review", Renewable and Sustainable Energy Reviews, 55, pp.1041~1054 (2016)
- A. A. Babayo, "A review on energy management schemes in energy harvesting wireless sensor networks", Renewable and Sustainable Energy Reviews, 76, pp.1176~1184 (2017)
- M. H. Anisi, "Energy harvesting and battery power based routing in wireless sensor networks", Wireless Networks, 23(1), pp.249~266 (2017)
- R. Cerulli, "Exact and heuristic methods to maximize network lifetime in wireless sensor networks with adjustable sensing ranges", European Journal of Operational Research, 220(1), pp.58~66 (2012)
- V. K. Arora, "A survey on LEACH and other’s routing protocols in wireless sensor network", Optik, 127(16), pp.6590~6600 (2016)
- S. Tanwar, "A systematic review on heterogeneous routing protocols for wireless sensor network", Journal of Network and Computer Applications, 53, pp.39~56 (2015)
- R. Rani, "Computational Intelligence in Sensor Networks", pp.101~122 (2019), Springer
- N. Mittal, "A stable energy efficient clustering protocol for wireless sensor networks", Wireless Networks, 23(6), pp.1809~1821 (2017)
- W. R. Heinzelman, "Energy-efficient communication protocol for wireless microsensor networks", Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (2000)
- O. Younis, "HEED : a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks", IEEE Transactions on Mobile Computing, 3(4), pp.366~379 (2004)
- A. Manjeshwar, "TEEN : a routing protocol for enhanced efficiency in wireless sensor networks", Proceedings 15th International Parallel and Distributed Processing Symposium (IPDPS) (2001)
- L. Xu, "A balanced energy-efficient multihop clustering scheme for wireless sensor networks", Proceedings of 2014 7th IFIP Wireless and Mobile Networking Conference (WMNC), pp.1~8 (2014)
- C. Li, "An energy-efficient unequal clustering mechanism for wireless sensor networks", Proceedings of IEEE International Conference on Mobile Adhoc and Sensor Systems Conference (2005)
- G. Smaragdakis, "SEP: a stable election protocol for clustered heterogeneous wireless sensor networks", Computer Science Department, pp.2004
- L. Qing, "Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks", Computer Communications, 29(12), pp.2230~2237 (2006)
- B. Elbhiri, "Developed distributed energy-efficient clustering (DDEEC) for heterogeneous wireless sensor networks", Proceedings of 2010 5th International Symposium On I, 2010, 1~4
- G. Rahman, "Delay-aware MAC protocol for wireless sensor and actor networks in smart grid", Wireless Personal Communications, 109(4), pp.2683~2697 (2019)
- A. S. Toor, "A novel energy efficient routing protocol EACBM for scalable wireless sensor networks", International Journal of Computer Network & Information Security, 10(5), pp.9~17 (2018)
- M. K. Khan, "EE-MRP : energy-efficient multistage routing protocol for wireless sensor networks", Wireless Communications and Mobile Computing, 2018 (2018)[DOI]
- R. Pachlor, "LAR-CH : a cluster-head rotation approach for sensor networks", IEEE Sensors Journal, 18(23), pp.9821~9828 (2018)
- K. Cengiz, "Improving energy-efficiency of WSNs through LEFCA", International Journal of Distributed Sensor Networks, 12(8) (2016)[DOI]
- Z. Kaleem, "Energy-efficient device discovery in D2D cellular networks for public safety scenario", IEEE Systems Journal, 13(3), pp.2716~2719 (2019)
- Z. Kaleem, "UAV-empowered disaster-resilient edge architecture for delay-sensitive communication", IEEE Network, 33(6), pp.124~132 (2019)
- R. Han, "DCE : a distributed energy-efficient clustering protocol for wireless sensor network based on double-phase cluster-head election", Sensors, 17(5) (2017)[DOI]