无线传感器网络的动态节点选择策略

Xue Wang, Sheng Wang, Daowei Bi
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引用次数: 16

摘要

动态传感器节点选择策略是指实现能量消耗与有效覆盖率之间的权衡,提高无线传感器网络的能源效率,扩大有效覆盖率,延长网络寿命的优化策略。本文提出了一种动态传感器节点选择策略HN-GA,该策略利用遗传算法(GA)实现全局搜索,并采用Hopfield网络(HN)减小遗传算法的搜索空间,保证每条染色体的有效性。为了评估传感器节点的选择结果,引入了基于几种实际可行的能量消耗和有效覆盖率度量的组合度量。仿真结果验证了该算法在动态传感器节点选择方面的良好性能。利用基于HN-GA的传感器节点动态选择,可以显著提高无线传感器网络的寿命和有效覆盖性能。与遗传算法和遗传算法相比,遗传算法具有更好的区域收敛和全局搜索性能,能够高效、鲁棒、快速地实现动态传感器节点选择优化。
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Dynamic sensor nodes selection strategy for wireless sensor networks
Dynamic sensor nodes selection strategy refers to the optimization for achieving the tradeoff between energy consumption and effective coverage rate, enhancing energy efficiency, enlarging the effective coverage rate and prolonging the lifetime of wireless sensor networks (WSN). This paper proposes a dynamic sensor nodes selection strategy, so-called HN-GA, which uses the genetic algorithm (GA) to implement global searching and adopts the Hopfield network (HN) to reduce the search space of GA and ensure the validity of each chromosome. For evaluating the sensor nodes selection results, a combined metric based on several practically feasible measures of the energy consumption and effective coverage rate is introduced. The simulation results verify that the proposed HN-GA algorithm performs well in dynamic sensor nodes selection. With the help of HN-GA based dynamic sensor nodes selection, the lifetime and the effective coverage performance of WSN can be significantly improved. Compared to GA and HN, HN-GA has better performance in regional convergence and global searching, and it can achieve dynamic sensor nodes selection optimization efficiently, robustly and rapidly.
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