Randomly deployed mobile sensor nodes sometimes could not fulfill the requirements of a Wireless Sensor Network (WSN) of having a maximum coverage and minimum energy consumption. Thus, an effective mechanism is needed to ensure that the mobile sensor nodes are moved to the new positions that would be able to provide substantial maximum coverage with minimum moving distance. This paper suggests the used of Territorial Predator Scent Marking Algorithm (TPSMA) for redeployment of mobile sensor nodes. TPSMA was originally used for static sensor node placement. Two single objective approaches are studied in this paper that includes TPSMA with minimum moving distance and TPSMA with maximum coverage. The performances of the mobile WSN redeployed with the two TPSMA approaches are evaluated and compared with WSN redeployment using Genetic Algorithm (GA). Simulation results significantly show that TPSMA performs better than the GA for mobile sensor nodes redeployment.
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