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  Published Paper Details:

  Paper Title

A SURVEY OF REINFORCEMENT LEARNING TECHNIQUES IN THE CONTEXT OF WIRELESS SENSOR NETWORK

  Authors

  Manish Shrivastava

  Keywords

- Reinforcement Learning, Wireless Sensor Network, Q-Learning, Agent, State, Action and Reward

  Abstract


: Currently wireless sensor network is the key figure for various existing and upcoming technologies like health care, IOT, monitoring, automation, home security and various critical care units. Wireless sensor network is facing challenges in the area of routing, clustering, energy efficiency and other issues. Machine learning offers supervised and unsupervised learning techniques. Reinforcement learning technique is unsupervised in nature which used to provide feedback based upon certain experiences. Later on these kinds of experiences generates reward which leads to create policy. Finally these policy based values saves the efforts and resources. In this research study, we are presenting different reinforcement techniques to solve the existing challenges of wireless sensor network.

  IJCRT's Publication Details

  Unique Identification Number - IJPUB1801167

  Paper ID - 181063

  Page Number(s) - 1012 - 1015

  Pubished in - Volume 6 | Issue 1 | February 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Manish Shrivastava,   "A SURVEY OF REINFORCEMENT LEARNING TECHNIQUES IN THE CONTEXT OF WIRELESS SENSOR NETWORK", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.1012 - 1015, February 2018, Available at :http://www.ijcrt.org/papers/IJPUB1801167.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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