Effect of Mobility Models on Reinforcement Learning Based Routing Algorithm Applied for Scalable Ad Hoc Network Environment

Abstract

Mobile Ad Hoc Network faces the greatest challenge for better performances in terms of mobility characterization. The mobility of nodes and their underlying mobility models have a profound effect on the performances of routing protocols which are central to the design of ad hoc networks. Most of the traditional routing algorithms proposed for ad hoc… (More)

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