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Sustainability 2017, 9(10), 1733; doi:10.3390/su9101733

Estimation and Healing of Coverage Hole in Hybrid Sensor Networks: A Simulation Approach

1
College of Information Science and Technology and Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education, Donghua University, Shanghai 201620, China
2
Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
*
Authors to whom correspondence should be addressed.
Received: 27 July 2017 / Revised: 19 September 2017 / Accepted: 23 September 2017 / Published: 26 September 2017
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Abstract

Nowadays, wireless sensor network which consists of numerous tiny sensors has been widely used. One of the major challenges in such networks is how to cover the sensing area effectively and maintain longer network lifetime with limited energy simultaneously. In this paper, we study hybrid sensor network which contains both static and mobile sensors. We divide monitoring area into Delaunay Triangulation (DT) by using of Delaunay theory, estimate static sensors coverage holes, calculate the number of assistant mobile sensors and then work out the positions of assisted mobile nodes in each triangle. Next, mobile sensors will move to heal the coverage holes. Compared with the similarity methods, the algorithm HCHA we proposed is simpler, the advantages of our algorithm mainly represents in the following aspects. Firstly, it is relatively simple to estimate coverage hole based on Delaunay in our proposed algorithm. Secondly, we figure out the quantitative number range of assisted sensors those need to heal the coverage holes. Thirdly, we come up with a kind of deployment rule of assisted sensors. View Full-Text
Keywords: coverage; estimation; healing; hybrid sensor networks coverage; estimation; healing; hybrid sensor networks
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Zhang, G.; Qi, C.; Zhang, W.; Ren, J.; Wang, L. Estimation and Healing of Coverage Hole in Hybrid Sensor Networks: A Simulation Approach. Sustainability 2017, 9, 1733.

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