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Conference Papers Year : 2016

Task allocation for wireless sensor network using logic gate-based evolutionary algorithm

Abstract

Many applications in wireless sensor network (WSN) involve the execution of multiple computationally heavy in-network processing tasks. Collaborative in-network processing among different sensor nodes is critical due to the limited capability of a single node. Task allocation is required to assign efficiently the workload of each task. In this paper, Logic Gate-based Evolutionary Algorithm (LGEA) is introduced which implements the logic gate mechanism in order to solve the task allocation problem. Each individual stands for a potential task allocation solution. The overall problem is formulated as a binary multiobjective optimization problem. The task workload and connectivity are the constraints that must be satisfied. The aim is to minimize the number of active nodes, the computation and the communication load distribution. Simulations confirm the potential of the logic gate mechanism to find the optimized task allocation scheme. The LGEA also outperforms the binary approach based on the Binary Particle Swarm Optimization (BPSO). Therefore, the Logic operation represents an original strategy and an efficient procedure for the binary optimization.
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Dates and versions

hal-04000520 , version 1 (22-02-2023)

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Cite

Ayet Allah Ferjani, Noureddine Liouane, Imed Kacem. Task allocation for wireless sensor network using logic gate-based evolutionary algorithm. 2016 International Conference on Control, Decision and Information Technologies (CoDIT), Apr 2016, Saint Julian's, Malta. pp.654-658, ⟨10.1109/CoDIT.2016.7593640⟩. ⟨hal-04000520⟩
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