Research on Task Allocation Technique for Multi-Target Tracking in Wireless Sensor Network

As to the task allocation of collaborative technique in wireless sensor network, a method based on elastic neural networks is proposed to reduce energy consumption under the background of multi-sensor tracking in this paper. First a model of multi-coalition tracking multi-target is designed. Then according to the minimum energy criterion, disjoint fully connected subgraphs of neurons are constructed to solve the problem of optimized task allocation in tracking multi-target and the increment of system energy consumption when dynamic coalitions compete and conflict for the resource of sensor nodes. Compared with conventional method, simulation results show that this method can reduce the energy consumption of the tracking system greatly, demonstrating the effectiveness of elastic neural networks in handling with optimized task allocation problem of multi-sensor tracking multi-target.

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