Abstract
Network topology management is one of the critical concerns when designing a Wireless Sensor Network (WSN). In this research, four basic factors including the total production cost, sensing coverage, network connectivity and fault tolerance are considered. A mathematical model is proposed to optimize four optimization metrics corresponding to the four design factors. This approach attaches a weighting coefficient to each optimization metric to adjust their importance in the optimization model. To solve the proposed model, an Ant Colony Optimization (ACO) based metaheuristics method, called MAX–MIN Ant System (MMAS) is used. In the experiment, Greedy algorithm (Greedy) and Genetic Algorithm (GA) are also adopted to solve the proposed model. The results indicate that MMAS shows a satisfactory performance on solving the proposed model, which there is an improvement on the number of sensor nodes comparing to the result of Greedy, and a better fitness value than the result of GA.
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Acknowledgments
We would like to acknowledge the support received from the Innovation and Technology Commission (ITC) of the Government of the HKSAR of the People’s Republic of China (PRC) for this project (ITS/161/13FX). Our gratitude is also extended to the Research Committee and the Department of ISE of The Hong Kong Polytechnic University for their support on this project (G-UB97) and financial assistance to the involved research student (RT3C).
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Ng, C.K., Wu, C.H., Ip, W.H., Zhang, J., Ho, G.T.S., Chan, C.Y. (2016). Network Topology Management Optimization of Wireless Sensor Network (WSN). In: Huang, DS., Jo, KH. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9772. Springer, Cham. https://doi.org/10.1007/978-3-319-42294-7_75
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DOI: https://doi.org/10.1007/978-3-319-42294-7_75
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