Jenga-inspired optimization algorithm for energy-efficient coverage of unstructured WSNs

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The Energy-Efficient Coverage (EEC) problem in unstructured Wireless Sensor Networks (WSNs) is an important issue because WSNs have limited energy. In this letter, we propose a novel stochastic optimization algorithm, called the Jenga-Inspired Optimization Algorithm (JOA), which overcomes some of the weaknesses of other optimization algorithms for solving the EEC problem. The JOA was inspired by Jenga which is a well-known board game. We also introduce the probabilistic sensor detection model, which leads to a more realistic approach to solving the EEC problem. Simulation results are conducted to verify the effectiveness of the JOA for solving the EEC problem in comparison with existing algorithms. © 2013 IEEE.
Publisher
IEEE Communications Society
Issue Date
2013-02
Language
English
Citation

IEEE Wireless Communications Letters, v.2, no.1, pp.34 - 37

ISSN
2162-2337
DOI
10.1109/WCL.2012.100912.120648
URI
http://hdl.handle.net/10203/255285
Appears in Collection
EE-Journal Papers(저널논문)
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