基于节点剩余能量分布的簇头选择算法

发布时间：2018-01-04 12:28

本文关键词：基于节点剩余能量分布的簇头选择算法　出处：《计算机工程与设计》2014年04期 　论文类型：期刊论文

【摘要】：针对LEACH协议在均衡节点能耗方面表现不够理想的问题,提出了一种基于节点剩余能量分布的簇头选择算法,以期更好地平衡节点的能量消耗,提高节点的生存时间与网络的整体性能。在每一轮选择簇头的过程中,新算法利用网络中所有节点的剩余能量分布情况,并根据节点自身剩余能量将节点归类,不同类别的节点拥有不同的阈值T(n),即当选为本轮簇头节点的概率不同,最终使得网络中所有节点的能耗更加均衡。基于NS2仿真平台,通过修改LEACH源程序并编写仿真脚本对新算法的合理性和有效性进行了验证。仿真结果表明,该算法可以更好地平衡网络中各节点的能量消耗,在延长网络生存时间、提高网络数据吞吐量等方面都有比较优良的表现。
[Abstract]:According to the problems in the performance is not ideal balance the node energy consumption LEACH protocol, proposed a cluster head selection algorithm based on the residual energy of nodes, in order to better balance the node energy consumption, improve the performance of the overall survival time of nodes and network. In the process of each round of selection of cluster heads, the new algorithm by using the residual energy distribution of all nodes in the network, and according to the node's residual energy node node classification, different categories have different threshold T (n), which is elected as the cluster head node probability is different, ultimately makes the energy consumption of all the nodes in the network is more balanced. Based on NS2 simulation platform, by modifying the LEACH the source program is written to the new simulation script, the rationality and validity of the algorithm is verified. The simulation results show that the algorithm can better balance the node energy consumption in the network, in the network to extend There is a good performance in the aspects of network lifetime and network data throughput.

【作者单位】：桂林电子科技大学电子工程与自动化学院;桂林电子科技大学计算机科学与工程学院;
【基金】：国家自然科学基金项目(61262074、61162008、61163059) 广西可信软件重点实验室开放课题基金项目(kx201101) 广西高校优秀人才计划基金项目(桂教人201065) 广西自然科学回国基金项目(2012GXNSFCA053009)
【分类号】：TP212.9;TN929.5
【正文快照】： 0引言无线传感器网络[1]是由大量随机部署的传感器节点通过无线电通信构成的自组织网络,目的是感知、监测、采集和处理网络覆盖围内的相关环境参数,并最终传递给观察者。网络中的传感器节点拥有的能量十分有限,因此,在不影响网络整体功能的前提下,尽可能高效地利用节点的能量

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