A tasks assignment algorithm based on entropy assessment model for wireless sensor and actor networks

Abstract

A tasks assignment algorithm based on entropy assessment model is proposed to solve the so-called “hot zone” problem that nodes in the hot spot area deplete faster their energy and die much faster than faraway cluster heads due to the many-to-one traffic paradigm in the entire wireless sensor network. The cost assessment model of taking action based on entropy is established by using auction method to balance node's energy consumption. Considering network situation, a balanced or non-balanced task assignment optimization problem is formulated to prolong network lifetime and avoid energy hole that may lead to serious connectivity and coverage problems. The result of simulation shows that the algorithm could provide more balance in energy consumption and higher real-time performance. We also show that network can achieve longer lifetime by using the method.