Multicluster, mobile, multimedia radio network
Wireless Networks
A capacity analysis for the IEEE 802.11 MAC protocol
Wireless Networks
WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
Routing in Ad Hoc Networks Using a Spine
IC3N '97 Proceedings of the 6th International Conference on Computer Communications and Networks
Distributed Clustering for Ad Hoc Networks
ISPAN '99 Proceedings of the 1999 International Symposium on Parallel Architectures, Algorithms and Networks
A Mobility Based Metric for Clustering in Mobile Ad Hoc Networks
ICDCSW '01 Proceedings of the 21st International Conference on Distributed Computing Systems
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
WSEAS TRANSACTIONS on COMMUNICATIONS
Enhancing DSR protocol performance in mobile ad hoc network using ACK reply
WSEAS TRANSACTIONS on COMMUNICATIONS
WSEAS TRANSACTIONS on COMMUNICATIONS
An improved location-aided routing protocol for mobile ad hoc networks with greedy approach
WSEAS TRANSACTIONS on COMMUNICATIONS
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Clustering has been proven to be a promising approach for mimicking the operation of the fixed infrastructure and managing the resources in multi-hop networks. In this paper, we propose an Efficient Clustering Algorithm (ECA) in Mobile Ad hoc Networks based on the quality of service's (QoS) parameters (cluster throughput/delay, packet loss rate). The goals are yielding low number of clusters, maintaining stable clusters, and minimizing the number of invocations for the algorithm. The performance changes greatly for small and large clusters and depends strongly on the formation and maintenance procedures of clusters which should operate with minimum overhead, allowing mobile nodes to join and leave without perturbing the membership of the cluster and preserving current cluster structure as much as possible. In this manner, while QoS does not perform well under high traffic load conditions, admission control becomes necessary in order to provide and support the QoS of existing members. Based on the results from the proposed analytical model, we implement a new admission control algorithm that provides the desired throughput and access delay performance in order to determine the number of members inside an ECA cluster that can be accommodated while satisfying the constraints imposed by the current applications. Through numerical analysis and simulations, we have studied the performance of our model and compared it with that of WCA. The results demonstrate the superior performance of the proposed model.