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Research on Coverage Control Strategies in Wireless Sensor Networks

Author: WuBin
Tutor: FengHaiLin
School: Xi'an University of Electronic Science and Technology
Course: Applied Mathematics
Keywords: Wireless Sensor Networks Network Coverage Probability Data Fusion Network Lifetime
CLC: TN929.5
Type: Master's thesis
Year: 2011
Downloads: 70
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Abstract


Coverage control is one of a basic problem in wireless sensor network, it mainly studies how to use sensor nodes appropriately to enhance network monitoring quality and prolong network lifetime while ensuring network coverage probability. In designation of coverage control strategy, reasonable choice of perception model, avoiding the production of coverage hole and node energy equilibrium have been the primary goals. For this purpose, this paper design coverage control strategies based on coordinated multi-sensors coverage and data fusion, and the specific works are as follows:Firstly, this paper introduces stochastic sensing model and traditional genetic algorithm based on parallelism selection, and analysis their advantages and disadvantages. Then by adopting stochastic sensing model for each sensor node, this paper founds an optimization model for coordinated multi-sensors coverage strategy for network redundancy. Then an improved genetic algorithm based on parallelism selection is presented, and the simulation results show the efficiency of the algorithm.Secondly, all previous studies of random deployment environment based on poisson distribution are easy to cause bottleneck, thereby reducing network lifetime and producing coverage holes. In order to overcome this problem, this paper take node deployment based on gaussian distribution to study network coverage, and derive the relationship among network coverage probability, fusion radius, signal-to-noise ratio under data fusion based on nonuniform distribution, then proof that. Compared to node deployment based on poisson distribution, it is more accurate and network lifetime is much longer.Finally, for the problems of sensor nodes with the same initial energy, coverage holes and seriously uneven network flow due to the characteristics of multiple relay communication and many-to-one flow. This paper analysis network flow quantitatively by band model, and improve fair limits of energy analysis method. Node initial energy distribution of each annulus is given by this method under the condition of avoiding the coverage hole and maximizing network lifetime.

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