Paper
4 March 2013 Hole patching strategy with the least mobile nodes in wireless sensor network of agriculture
Yong Feng, Jian Liu, Hongyan Xu, Ye Yuan
Author Affiliations +
Proceedings Volume 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering; 876119 (2013) https://doi.org/10.1117/12.2020128
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China
Abstract
Wireless Sensor Network (WSN) can be used in agriculture management. But hole can be produced in WSN due to the factors such as fault, energy depletion and so on, which can cause agricultural data incomplete. This fault can be repaired by deploying the mobile sensor nodes to patch the hole. The main optimization goal of this paper is to deploy the least mobile sensor nodes to make the cost of hole patching minimization. A hole patching strategy with the least mobile sensor nodes in WSN is proposed in this paper. Firstly, analyze geometric characteristics of the hole through detecting the hole. Next, deploy the mobile sensor nodes on the appropriate location to patch the hole according to the geometric characteristics. The strategy given in this paper includes two steps: (1) Choose the key intersection points from the set of intersection points of arc. (2) Determine the patching position of the mobile nodes to patch the hole. Finally, verify the effective of the strategy using a simulation experiment and analyze the performance based on the comparison of the experimental results. Using the hole patching strategy with the least mobile nodes in WSN can patch the hole completely and make the reparation cost minimization.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Feng, Jian Liu, Hongyan Xu, and Ye Yuan "Hole patching strategy with the least mobile nodes in wireless sensor network of agriculture", Proc. SPIE 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering, 876119 (4 March 2013); https://doi.org/10.1117/12.2020128
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KEYWORDS
Sensor networks

Sensors

Agriculture

Wireless communications

Current controlled current source

Environmental monitoring

Global Positioning System

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