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An energy efficient hole repair node scheduling algorithm for WSN

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Abstract

A sensor node in the wireless sensor network has limited energy and it normally cannot be replaced due to the random deployment, so how to prolong the network life time with limited energy while satisfying the coverage quality simultaneously becomes a crucial problem to solve for wireless sensor networks (WSN). In this work, we propose an energy efficient algorithm based on the sentinel scheme to reduce the sleeping node detection density by defining a new deep sleeping state for each sensor node. The average energy consumed by probing neighboring nodes is introduced as a factor to calculate the detection rate. In addition, after some theoretical analysis of the existence of coverage holes in WSN, a triangle coverage repair procedure is defined to repair coverage holes. Simulation results show that our proposed algorithm obtained better performance in terms of the coverage quality and network life time compared with some existing algorithms in the literature.

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Acknowledgments

This research is supported by Natural Science Foundation of China (NSFC Project No. 61202289), Science and Technology Plan of Hunan Province (No. 2015GK3015), and the project of the support plan for young teachers in Hunan University, China (Ref. 531107021137).

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Correspondence to Ying Xu.

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I certify that this manuscript is original and has not been published and will not be submitted elsewhere for publication while being considered by Wireless Networks. And the study is not split up into several parts to increase the quantity of submissions and submitted to various journals or to one journal over time. No data have been fabricated or manipulated (including images) to support your conclusions. No data, text, or theories by others are presented as if they were our own. The submission has been received explicitly from all co-authors. And authors whose names appear on the submission have contributed sufficiently to the scientific work and therefore share collective responsibility and accountability for the results.

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Xu, Y., Zeng, Z. & Ding, O. An energy efficient hole repair node scheduling algorithm for WSN. Wireless Netw 23, 103–116 (2017). https://doi.org/10.1007/s11276-015-1132-8

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