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Jenga-Inspired Optimization Algorithm for Energy-Efficient Coverage of Unstructured WSNs

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3 Author(s)
Joon-Woo Lee ; Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea ; Joon-Yong Lee ; Ju-Jang Lee

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.

Published in:

Wireless Communications Letters, IEEE  (Volume:2 ,  Issue: 1 )