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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27907

Title: Q-Learning for energy balancing and avoiding the void hole routing protocol in underwater sensor networks
Authors: Javaid, Nadeem
Karim, Obaida Abdul
Sher, Arshad
Imran, Muhammad
Yasar, Ansar-Ul-Haque
Guizani, Mohsen
Issue Date: 2018
Publisher: IEEE
Series/Report: International Wireless Communications and Mobile Computing Conference
Abstract: In energy constraint networks, the utilization of limited node battery is very crucial to enhance the network lifespan. The imbalanced node battery dissipation greatly effects the performance of the network. In this paper, we propose Q-Learning based energy-efficient and balanced data gathering routing protocol (QL-EEBDG). The effectiveness of a forwarder node is computed based on; residual energy of the source node and group energies of the neighbour nodes. The consideration of energy parameters provides complete control on the forwarder node selection and ensures efficient energy consumptions in the network. Still, due to topology changes, void node occurs which is avoided through adjacent node technique (QL-EEBDG-ADN). This scheme finds an alternate route via neighbor nodes to provide continuous communication among the network nodes. Simulations are performed to validate the effectiveness of proposed schemes against existing scheme based on energy tax, network lifetime.
Notes: [Javaid, Nadeem; Sher, Arshad] COMSATS Inst Informat Technol, Islamabad 44000, Pakistan. [Karim, Obaida Abdul] Int Islamic Univ, Islamabad 44000, Pakistan. [Imran, Muhammad] King Saud Univ, Riyadh, Saudi Arabia. [Yasar, Ansar Ul Haque] Hasselt Univ, Transportat Res Inst IMOB, Diepenbeek, Belgium. [Guizani, Mohsen] Univ Idaho, Moscow, ID 83843 USA.
URI: http://hdl.handle.net/1942/27907
DOI: 10.1109/IWCMC.2018.8450289
ISI #: 000447259500119
ISBN: 9781538620700
ISSN: 2376-6492
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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