A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks
A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks
复制标题
DOI：
10.1155/2012/156268
复制
发表时间：
2012-01
影响因子：
2.3
通讯作者：
Kyuhong Lee;Heesang Lee
中科院分区：
文献类型：
--
作者：
Kyuhong Lee;Heesang Lee
高效的能源消耗是无线传感器网络（WSN）部署和运行的关键因素。一般来说，WSN 仅使用本地邻居信息来执行聚类和路由。因此，一些研究采用自组织系统和智能机制作为研究方法。在本文中，我们提出了一种自组织智能自适应集群（SOSAC）和路由方法，该方法在无线传感器网络中执行集群，以智能自适应方式操作形成的集群，并执行基于集群的路由。 SOSAC 由三种机制组成，用于随时间改变适应值、备份路由信息以应对 WSN 中的任何潜在故障，以及适应 WSN 传感器节点数量的变化。我们将所提出的 SOSAC 的性能与著名的 WSN 集群和路由协议的性能进行了比较。我们的计算实验表明，SOSAC 的网络寿命、能耗和可扩展性优于对比方法。
Efficient energy consumption is a critical factor for the deployment and operation of wireless sensor networks (WSNs). In general, WSNs perform clustering and routing using localized neighbor information only. Therefore, some studies have used self-organized systems and smart mechanisms as research methods. In this paper, we propose a self-organized and smart-adaptive clustering (SOSAC) and routing method, which performs clustering in WSNs, operates the formed clusters in a smart-adaptive way, and performs cluster-based routing. SOSAC is comprised of three mechanisms, which are used to change the fitness value over time, to back up routing information in preparation for any potential breakdown in WSNs, and to adapt to the changes of the number of sensor nodes for a WSN. We compared the performance of the proposed SOSAC with that of a well-known clustering and routing protocol for WSNs. Our computational experiments demonstrate that the network lifetime, energy consumption, and scalability of SOSAC are better than those of the compared method.