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Lifetime of a link defines the amount of time the link is available for transmission. In this paper, the authors begin with associating a statistical parametric model for link lifetime distribution for commonly used mobility patterns. The study reveals interesting properties about link lifetimes, including findings showing that lifetimes of the mobility patterns studied are of wear-out type, rather than random failure. Next, they propose a heuristics based link lifetime estimation process that exploits knowledge of the associated mobility pattern and show that the estimation performs well under diverse operating conditions. Finally, they present an application of link lifetime. In this application, link lifetime is used as an indicator of end-to-end channel-quality to carry out packet scheduling decisions.
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