Mobility prediction and routing in ad hoc wireless networks
International Journal of Network Management
WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
GPS-Free Positioning in Mobile ad-hoc Networks
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 9 - Volume 9
A prediction-based link availability estimation for routing metrics in MANETs
IEEE/ACM Transactions on Networking (TON)
A survey of clustering schemes for mobile ad hoc networks
IEEE Communications Surveys & Tutorials
The capacity of wireless networks
IEEE Transactions on Information Theory
A mobility-based framework for adaptive clustering in wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
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Scalability issues for routing in mobile ad hoc networks (MANETs) have been typically addressed using hybrid routing schemes operating in a hierarchical network architecture. Several clustering schemes have been proposed to dynamically identify and maintain hierarchy in MANETs. To achieve significant performance gains, it is important that the underlying clustering scheme is able to identify stable clusters such that the cost associated with maintaining the clustered architecture is minimized. In this paper, we study the impact of mobility prediction schemes on the temporal stability of the clusters obtained using a mobility-aware clustering framework. We investigate the performance of the prediction schemes with respect to Gauss-Markov, Random Waypoint, and Reference Point Group mobility models under varying network and mobility conditions. Our results indicate that while mobility prediction significantly improves temporal stability of the clusters, an accurate mobility tracking algorithm need not always lead to an accurate mobility prediction scheme.