ew 18(17): e15

Research Article

QL-EEBDG: QLearning based energy balanced routing in underwater sensor networks

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  • @ARTICLE{10.4108/eai.10-4-2018.154459,
    author={Obaida  Abdul Karim and Nadeem  Javaid and  Arshad Sher and Zahid  Wadud and Sheeraz  Ahmed},
    title={QL-EEBDG: QLearning based energy balanced routing in underwater sensor networks},
    journal={EAI Endorsed Transactions on Energy Web and Information Technologies},
    volume={5},
    number={17},
    publisher={EAI},
    journal_a={EW},
    year={2018},
    month={4},
    keywords={Energy tax, network stability period, throughput},
    doi={10.4108/eai.10-4-2018.154459}
}
  • Obaida Abdul Karim
    Nadeem Javaid
    Arshad Sher
    Zahid Wadud
    Sheeraz Ahmed
    Year: 2018
    QL-EEBDG: QLearning based energy balanced routing in underwater sensor networks
    EW
    EAI
    DOI: 10.4108/eai.10-4-2018.154459
Obaida Abdul Karim1, Nadeem Javaid2,*, Arshad Sher2, Zahid Wadud3,4,*, Sheeraz Ahmed5,6,*
  • 1: International Islamic University, Islamabad 44000, Pakistan
  • 2: COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
  • 3: University of Engineering & Technology, Peshawar 25000, Pakistan
  • 4: Capital University of Science and Technology, Islamabad 44000, Pakistan
  • 5: Faculty of Engineering and Technology, Dera Ismail Khan 29050, Pakistan
  • 6: Career Dynamics Research Center, Peshawar 25000, Pakistan
*Contact email: nadeemjavaidqau@gmail.com, zahidmufti@nwfpuet.edu.pk, sheerazahmed306@gmail.com

Abstract

In this paper, we propose a Q-Learning based efficient and balanced energy consumption data gathering routing protocol (QLEEBDG) for underwater sensor networks (USNs). We set an optimal next hop forwarder for each node to transmit its the sensed data. This helps to reduce distance between sender and receiver. The energy consumption is minimum. Furthermore, a node is considered an eligible forwarder node only if its next hop neighbour exists. We incorporate this mechanism to avoid void hole problem. Our technique minimizes energy consumption in the network, hence, lifespan increases. The performance of our proposed technique is validated through extensive simulations.

Keywords
Energy tax, network stability period, throughput
Received
2017-11-12
Accepted
2018-03-10
Published
2018-04-10
Publisher
EAI
http://dx.doi.org/10.4108/eai.10-4-2018.154459

Copyright © 2018 Obaida Abdul Karim et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.