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A Weight Based Distributed Clustering Algorithm for Mobile ad hoc Networks

机译:移动Ad hoc网络中基于权重的分布式聚类算法。

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In this paper, we propose a distributed clustering algorithm for a multi-hop packet radio network. These types of networks, also known as ad hoc networks, are dynamic in nature due to the mobility of the nodes. The association and dissociation of nodes to and from clusters perturb the stability of the network topology, and hence a reconfiguration of the system is often unavoidable. However, it is vital to keep the topology stable as long as possible. The clusterheads, which form a dominant set in the network, determine the topology and its stability. Our weight based distributed clustering algorithm takes into consideration the ideal degree, transmission power, mobility and battery power of a mobile node. We try to keep the number of nodes in a cluster around a pre-defined threshold to facilitate the optimal operation of the medium access control (MAC) protocol. The non-periodic procedure for cluster-head election gradually improves the load balance factor (LBP) which is a measure of the load distribution among the clusterheads. For lowering the computation and communication costs, the clustering algorithm is invoked on-demand which aims to maintain the connectivity of the network at the cost of load imbalance. Simulation experiments are conducted to evaluate the performance of our algorithm in terms of the number of clusterheads, reaffiliation frequency and dominant set updates. Results show that the our algorithm performs better than the existing algorithms and is also tunable to different types of ad hoc networks.
机译:在本文中,我们提出了一种用于多跳分组无线网络的分布式聚类算法。由于节点的移动性,这些类型的网络(也称为自组织网络)本质上是动态的。节点与群集之间的关联和分离会扰乱网络拓扑的稳定性,因此通常不可避免地需要重新配置系统。但是,保持拓扑尽可能长时间稳定至关重要。在网络中占主导地位的簇头确定拓扑及其稳定性。我们基于权重的分布式聚类算法考虑了移动节点的理想程度,传输功率,移动性和电池功率。我们尝试将群集中的节点数保持在预定阈值附近,以促进媒体访问控制(MAC)协议的最佳操作。群集头选举的非定期过程逐渐提高了负载平衡因子(LBP),它是衡量群集头之间的负载分布的一种方法。为了降低计算和通信成本,按需调用群集算法,目的是以负载不平衡为代价来维护网络的连接性。进行了仿真实验,以从簇头数,重新隶属频率和主导集更新方面评估我们算法的性能。结果表明,我们的算法比现有算法具有更好的性能,并且还可以针对不同类型的自组织网络进行调整。

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