基于磁致战术细菌优化算法的无线传感器网络能量优化

E. S. RajaRajeswari, B. Kalpana
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引用次数: 0

摘要

近年来,无线传感器网络在各个领域的应用有了很大的发展。尽管无线传感器网络显示出许多优点,但由于低处理能力和有限的使用寿命,它也存在局限性。主要的挑战与传感器节点所消耗的能量有关。因此,能源优化是该领域的关键挑战。本文采用趋磁细菌算法对无线传感器网络中的细胞矩进行调节,使其能量消耗达到最小。实验结果表明,将这种优化方法应用到路由算法中,与其他技术相比,具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Optimization in Wireless Sensor Network based on Magneto Tactic Bacteria Optimization Algorithm
Recent years has witnessed a great development in the application of Wireless Sensor Networks in various sectors. In spite of the numerous advantages exhibited by Wireless Sensor Networks, there are limitations due to the low processing power and limited lifetime. The major challenge is related to the energy expended by sensor nodes. Therefore, energy optimization is a key challenge in this area. In this paper, the Magnetotactic Bacteria Algorithm is used to regulate the cell moment and thereby keep the energy consumption at a minimum in the wireless sensor networks. Experimental results show that such an optimization applied to the routing algorithm results in the better performance when compared with other techniques.
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