Skip navigation

Computational power conservation technique using mobility adaptation method in MANET

Computational power conservation technique using mobility adaptation method in MANET

Bello, Lawal, Bakalis, Panos and Rapajic, Predrag (2018) Computational power conservation technique using mobility adaptation method in MANET. In: 2017 Progress In Electromagnetics Research Symposium - Spring (PIERS). IEEE, pp. 3283-3292. ISBN 978-1-5090-6270-6 (doi:https://doi.org/10.1109/PIERS.2017.8262323)

[img]
Preview
PDF (Author Accepted Manuscript)
19765 BELLO_Computational_Power_Conservation_Technique_2018.pdf - Accepted Version

Download (230kB) | Preview

Abstract

In this paper, a new technique is proposed for conserving power in mobile ad hoc wireless network. The technique is based on the existing on-demand ad hoc routing protocols with the addition of power model. The unique feature of the technique is that mobile nodes will be able to evaluate their power status to decide if they are fit for packet forwarding and reception. This is illustrated using computational approach supported by computer simulations over mobile ad hoc wireless network containing 18 mobile nodes. The proposed technique is incorporated into the Ad Hoc On demand Distance Vector (AODV) and Dynamic Source Routing (DSR) protocols. The results showed that using power saving technique reduces power consumption to more than 15% rate at which mobile nodes achieved with no much delay in the network as compared to the conventional network configured with AODV and DSR routing protocols.

Item Type: Conference Proceedings
Title of Proceedings: 2017 Progress In Electromagnetics Research Symposium - Spring (PIERS)
Additional Information: Conference held in St Petersburg, Russia from 22-25 May 2017.
Uncontrolled Keywords: Wireless networks, power saving techniques
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Centre for Wireless and Mobile Communications Research
Last Modified: 13 Apr 2018 11:28
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/19765

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics