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  • 标题:Hidden Markov Model for Tracking MANET Based On Structure Free Approach
  • 本地全文:下载
  • 作者:K.RanjithaKala ; K.VenkataRamana
  • 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:57
  • 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 estimated hybrid estimated markovmodel of an gradient based protocols of the target’s likely direction. A PMBT is a probabilistic online trackingalgorithm that computes information utilities at each step,and then chooses the next step toward the target based on themaximum expected utility. We provides a light weight implementation of the state of nodes in each cell and a politegossip mechanism for forwarding the tracking messages .we consider a benchmark approach to solve a tracking problemin MANET,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.
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