Stable Clustering with Efficient Routing in Wireless Ad Hoc Networks

Abstract

In ad hoc networks the association and organisation is required in large MANETs. This is possible by disassociation of mobile nodes to and from the clusters grouping a number of nodes into an easily manageable set perturb the stability of the network and thus reconfiguration known as cluster [6,7,15,17,20,21]. Certain nodes, known as of clusterheads is unavoidable. This is an important issue clusterheads, would be responsible for the formation of clusters since the frequent clusterhead changes adversely affect the (each consisting of a number of nodes) and maintenance of the performance of other protocols. This paper proposes a topology of the network. Weight Based Adaptive Clustering Algorithm (WBACA) that leads to a high degree of stability in the network. TheClustering provides a convenient framework for the proposed WBACA takes into account the transmission development of important features such as channel efficiency power, transmission rate, mobility, battery power and the [5], routing performance [13], power control [22], virtual circuit degree of a node for forming clusters. Through simulations support and bandwidth utilization. The whole idea of clustering we have compared the performance of WBACA with that of in MANETs has proved to be very effective in managing the the Lowest-ID algorithm and the Weighted Clustering resources at the MAC level. Algorithm (WCA) in terms of the number of clusters formed, number of clusterhead changes, and the number of The rest of this paper is organized as follows. Previous work reaffiliations. We also study the operation and performance done in the area of clustering is reviewed in Section II, where an of the proposed scheme through detailed simulations, overview of different clustering algorithms is given. Section III evaluating the control overheads, throughput, and average presents the proposed WBACA in detail. In Section IV, the packet transfer delay in the network.simulation results that demonstrate the efficiency and stability of WBACA are presented. Finally, Section V concludes this paper.

EEAODR: An energy‐efficient ad hoc on‐demand routing protocol for mobile ad hoc networks

“…We can use hierarchical routing [16,17] by doing clustering of nodes. In clustering, typically, the network is divided into sub-networks and a table for each sub-network and table for nodes, which are neighbor to different sub-networks for a sub-network are made.…”

MANET-Based Stable Clustering Algorithm and its Performance Analysis

“…We divide this kind of clustering algorithms into three categories. 1) Clustering algorithms which only consider on movement speed or position, such as MOBIC [1] , WBACA [2] , CEMCA [3] , MCFA [4] , MPBC [5] , CBMD [6] , etc. 2) Clustering algorithms which combine movement speed and position with some simple weight values, such as DWCA [7] , a distributed clustering algorithm with effective and stable weighted combination proposed in literature [8] and a clustering algorithm described in literature [9].…”