Abstract

An opportunistic routing algorithm adopts no awareness about the channel statistics and network, but practices a reinforcement learning framework in order to qualify the nodes to familiarize their routing strategies, and optimally activities the statistical opportunities and receiver diversity. The proposed arrangement utilizes a reinforcement learning framework to resourcefully route the packets level in the lack of dependable acquaintance about channel statistics and network model. The suggested routing scheme equally reports the issues of learning and routing in an opportunistic background, where the network assembly is considered by the transmission achievement chances.

Authors and Affiliations

D. Madhavi Latha| Dept of CSE, Aditya Engineering College, Surampalem, East Godavari(Dt), AP, India, K. N. S. L. Kumar| Dept of CSE, Aditya Engineering College, Surampalem, East Godavari(Dt), AP, India

Keywords

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  • EP ID EP17012
  • DOI -
  • Views 222
  • Downloads 3

How To Cite

D. Madhavi Latha, K. N. S. L. Kumar (2017). . International Journal of Science Engineering and Advance Technology, 5(8), 881-883. https://europub.co.uk/articles/-A-17012