A Biology-Based Algorithm to Minimal Exposure Problem of Wireless Sensor Networks

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Abstract
The Minimal Exposure Problem (MEP), which corresponds to the quality of coverage, is a fundamental problem in wireless sensor networks. This paper exploits a biological model of physarum to design a novel biology-inspired optimization algorithm for MEP. We first formulate MEP and the related models, and then convert MEP into the Steiner problem by discretizing the monitoring field to a large-scale weighted grid. Inspired by the path-finding capability of physarum, we develop a biological optimization solution to find the minimal exposure road-network among multiple points of interest, and present a Physarum Optimization Algorithm (POA). Furthermore, POA can be used for solving the general Steiner problem. Extensive simulations demonstrate that our proposed models and algorithm are effective for finding the road-network with minimal exposure and feasible for the Steiner problem.
Funding Information
  • National 973 Project of China (2011CB302701)
  • National Natural Science Foundation of China (61332005, 61133015)
  • Funds for Creative Research Groups of China (61121001)
  • Cosponsored Project of Beijing Committee of Education

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