文章基本信息

标题：A Secure Reputation-Based Clustering Algorithm for Cluster based energy optimized Mobile ad-hoc network
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作者：Keshav Kumar Tiwari ; Sanjay Agrawal
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：5
出版社：S.S. Mishra
摘要：An economical approach for organizing large ad hoc networks is to divide the nodes into multiple clusters and designate for every cluster, a cluster head that is accountable for holding inter cluster control information.In Clustering, ad-hoc networks are divided into groups which are managed by elected nodes known as cluster heads. It is an area co-ordinator of a cluster. It performs intra-cluster routing such as packet forwarding etc. A Cluster head performs the resource management function for its member nodes and perform inter-cluster and intra-cluster communication. This technique has been used for various goals as the efficiency of routing, transmission management and knowledge assortment. So much as we all know, no existing cluster algorithms have taken into consideration the existence of malicious nodes for cluster heads election and maintenance. In this paper, we tend to analyse the security drawback within the hierarchical mobile ad hoc networks. Then we propose a secure clustering algorithm supported based on reputation in defence of threats in clustering. In this algorithm, the nodes' reputation is used to improve security of cluster which is evaluated by combining the occurrence of the node in the routing process. In addition, we consider the degree and relative mobility within the cluster to ensure the stability of clusters. The weight of every node is computed through considering the on top of three factors at the same time. It's used to elect the secure backbone nodes within the networks. Moreover, it's economical within the cluster reconstruction and healing, and this proposed work is totally different than other research is working at the time now.
关键词：MANET; Hierarchical Ad Hoc Networks; Clustering algorithms; Threat Security; Reputation based ;clustering algorithm (RECA).