The mobile sink can increase the efficiency of wireless sensor networks. It moves in a monitored environment and collects the network nodes information. Thus, by the sink we can balance the power consumption and increases the network lifetime. Determining path of the sink's movement is usually modeled as an optimization problem where finding optimal solutions require collecting value of all the network parameters at each moment and then solving the optimization model. Therefore, the optimization model requires a large amount of information processing and transmission, and consequently it is impractical and almost impossible. This paper proposes a decentralized algorithm for determining the itinerary planning of the sink based on the local information collected from the vicinity of the sink. The proposed algorithm decides based on the estimation of the remaining network lifetime and energy consumption around each candidate. The use of fuzzy TOPSIS in presenting a decentralized algorithm for planning the itinerary in wireless sensor networks is the idea proposed and implemented just in this paper. The simulation results show that the proposed algorithm can significantly improve the network lifetime.
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Khalily-Dermany, M. (2021). A multiple criteria algorithm for planning the itinerary of mobile sink in wireless sensor networks. Soft Computing Journal, 7(2), 74-83.
MLA
Mohammad Khalily-Dermany. "A multiple criteria algorithm for planning the itinerary of mobile sink in wireless sensor networks", Soft Computing Journal, 7, 2, 2021, 74-83.
HARVARD
Khalily-Dermany, M. (2021). 'A multiple criteria algorithm for planning the itinerary of mobile sink in wireless sensor networks', Soft Computing Journal, 7(2), pp. 74-83.
VANCOUVER
Khalily-Dermany, M. A multiple criteria algorithm for planning the itinerary of mobile sink in wireless sensor networks. Soft Computing Journal, 2021; 7(2): 74-83.
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