文章基本信息

标题：Probabilistic Model Based Tracking in MANETs with the Help of Gossip Protocol
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作者：I. Sankar Babu ; K.VenkataRamana ; G.Lakshmi kanth 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
期号：NCET
页码：79
出版社：S&S Publications
摘要：Mobile Adhoc Network does not require fixed infrastructure support for Tracking to reach a Targetnode.We need to accomplish a goal is to improve the effectiveness of structure –free tracking.we already recognizes aproblem of tracking of a mobile target node in a mobile adhoc network(set-up).we includes a generic trackingframework for a online tracking applications.we proposes a online statistically estimatedhybrid estimated markov modelof an gradient based protocols of the target’s likely direction. A PMBT is a probabilistic online tracking algorithm thatcomputes information utilities at each step,and then chooses the next step toward the target based on the maximumexpected utility. We provides a light weight implementation of the state of nodes in each cell and a polite gossipmechanism for forwarding the tracking messages.we consider a benchmark approach to solve a tracking problem inMANET,A PMBT algorithm significantly outperforms both gradient-based and markov model with the help of politegossip mechanism.
关键词：MANET; PMBT; Gradient Model; HMM; target; tracking