Associativity-Based Routing for Ad Hoc Mobile Networks
Wireless Personal Communications: An International Journal
A mobility-based framework for adaptive clustering in wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
Hybrid routing: the pursuit of an adaptable and scalable routing framework for ad hoc networks
The handbook of ad hoc wireless networks
Independent zone routing: an adaptive hybrid routing framework for ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
A simple automata based model for stable routing in dynamic ad hoc networks
Proceedings of the 2nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
International Journal of Ad Hoc and Ubiquitous Computing
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This paper presents a strategy for quantifying the future proximity of adjacent nodes in an ad-hoc network. The proximity model provides a quantitative metric that reflects the future stability of a given link. Because it is not feasible to maintain precise information in an ad-hoc network, our model is designed to require minimal information and uses an adaptive learning strategy to minimize the cost associated with making a wrong decision under uncertain conditions. After computing the initial baseline link availability assuming random-independent mobility, the model adapts future computations depending on the expected time-to-failure of the link based on the independence assumption, and a parameter that reflects the the environment. The purpose for defining this metric is to enhance the performance of routing algorithms and better facilitate mobility-adaptive dynamic clustering in ad-hoc networks.