基于动态布谷鸟算法的无线传感网能量优化方法研究

Research on Energy Optimization of Wireless Sensor Network Based on Dynamic Cuckoo Algorithm

无线传感器节点的供电模块主要采用电池,其能量不易补充,所以如何使网络寿命最大化成为关注的焦点。通过研究LEACH以及LEACH-E算法,针对LEACH及其改进后的算法在簇头选取和通信过程中存在的缺陷与弊端,提出了一种基于布谷鸟搜索算法的无线传感网节能优化算法。该算法引入离散度作为选取因子并且结合网络中传感器节点的剩余能量,以此选出剩余能量较高且离散度低的节点作为簇头节点;同时选择最佳的中继节点作为数据的转发节点,从而实现数据的多跳传输。该算法极大程度地降低了网络能耗,达到了提高网络整体生存时间的效果,拓宽了无线传感器网络的应用领域。

The power supply module of wireless sensor nodes is usually powered by battery, and its energy is not easy to supplement, so how to maximize the network life becomes the focus of attention.By studying LEACH and LEACH-E algorithm, Because LEACH algorithm does not take into account the remaining energy and distance of the selected cluster head node. A wireless sensor network energy saving algorithm is proposed based on cuckoo search algorithm, in order to improve the defects and drawbacks of LEACH and its improved algorithm in the process of cluster head selection and communication. In this algorithm, the discreteness is introduced as the selection factor and combined with the residual energy of sensor nodes in the network, the nodes with high residual energy and low discreteness are selected as cluster head nodes. At the same time, the best relay node is selected as the data forwarding node to realize multi-hop data transmission. Thus, the energy consumption of the network is greatly reduced, the overall survival time of the network is improved, and the application field of wireless sensor network is broadened.