基于加权聚类的最优MANET路由协议

Aswathy P. Sreevatsan, Diya Thomas
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引用次数: 8

摘要

MANET是一种可以动态改变位置和配置自身的自组织网络。由于节点之间的移动而导致的链路中断,使得在MANET中路由的过程变得非常困难。将节点分组到不同的集群中可以简化网络中的路由任务。集群头是集群地理区域中的节点,它还负责集群成员的路由和资源分配。节点将自己注册到集群头以成为集群的成员。大多数聚类算法只考虑一个聚类因素。加权聚类算法在聚类过程中考虑了机动性、程度、电池电量和到邻居的距离等因素。聚类后,任意两个节点之间的路径仅由路径中集群的簇头和网关组成。这将导致任意两个节点之间的长存活路径。节点与集群之间的关联和分离会扰乱网络拓扑结构的稳定性,因此系统的重新聚类和重新配置往往是不可避免的。然而,尽可能长时间保持拓扑稳定是很重要的。聚类算法可以与路由算法协同查找两个节点之间的路由。本工作主要分为三个阶段。第一阶段包括清理网络,其中包括识别恶意节点。第二阶段包括网络的加权聚类,其中包含了一个新的重聚条件,称为稳定因子。第三阶段采用模糊方法,根据路径中节点的剩余能量和可迁移性,在可路由路径中选择最佳路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimal weighted cluster based routing protocol for MANET
A MANET is an ad hoc network that can change locations and configure itself dynamically. The link breakage between the nodes due to their movement makes the routing in MANET a difficult process. Grouping the nodes into different clusters can make the task of routing in the network easier. A cluster head is a node present in the geographical region of the cluster and also takes care of the routing and allocation of resources for the cluster members. Nodes register themselves with the cluster head to become members of the cluster. Most clustering algorithms take into account only one factor for clustering. The weighted clustering algorithm takes into account a number of factors such as mobility, degree, battery power and distance to neighbors for clustering process. After clustering the path between any two nodes consists of only clusterheads and gateways of the clusters in the path. This leads to long lived paths between any two nodes. The association and dissociation of nodes to and from clusters perturb the stability of the network topology, and hence reclustering and reconfiguration of the system is often unavoidable. However, it is important to keep the topology stable as long as possible. The clustering algorithm can cooperate with routing algorithm in order to find routes between two nodes. This work mainly consist of three phases. The first phase consist of cleansing the network, which includes identifying the malicious nodes. The second phase consist of the weighted clustering of the network which incorporates a new reclustering condition known as stability factor. The third phase consist of a fuzzy method to choose the best path among the paths available for routing based on the residual energy and mobility of the nodes in the paths.
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