NDLI: Dynamic probabilistic counter-based broadcasting in mobile ad hoc networks

Content Provider	IEEE Xplore Digital Library
Author	Mohammed, A. Ould-Khaoua, M. Mackenzie, L.M. Abdulai, J.-D.
Copyright Year	2009
Description	Author affiliation: Department of Applied Mathematics & Computer Science, Faculty of Applied Sciences, University of Development Studies, P.O. Box 24, Navrongo, Ghana (Abdulai, J.-D.) \|\| Department of Computing Science, University of Glasgow, G12 8RZ, UK (Mackenzie, L.M.) \|\| Department of Electrical & Computer Engineering, Sultan Qaboos University, Al-Khodh 123, Muscat, Oman (Ould-Khaoua, M.) \|\| Department of Mathematics, Computer Science Unit, Usmanu Danfodiyo University, PMB 2346 Sokoto, Nigeria (Mohammed, A.)
Abstract	In Mobile Ad hoc Network (MANETs), flooding is the simplest broadcasting mechanism where each node retransmits every uniquely received packet exactly once. Despite its simplicity it could potentially leads to high redundant retransmissions causing high channel contention and thus excessive packet collisions in the network. This phenomenon referred to as broadcast storm problem has been shown to greatly increase the network communication overhead and end-to-end delay. Numerous probabilistic approaches have been proposed to mitigate the impact of this inherent phenomenon. However, most of these techniques are inadequate in reducing the number of redundant retransmissions while still guaranteeing that all nodes receive the packet. Further, in most cases they use a predetermined forwarding probability value for all nodes in the network which is quite unlikely to be optimal in other network set up. In this paper, we propose a new dynamic probabilistic counter-based broadcast scheme that can dynamically compute the forwarding probability at a node based on its neighbourhood information. Simulation results show that the new broadcast scheme achieves superior performance in terms of retransmitting nodes, collision rate, and end-to-end delay without sacrificing reachability compared to the existing schemes.
Starting Page	120
Ending Page	127
File Size	280381
Page Count	8
File Format	PDF
ISBN	9781424435227
ISSN	08558906
DOI	10.1109/ICASTECH.2009.5409735
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-14
Publisher Place	Ghana
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Spine Mathematics Batteries Flooding Mobile ad hoc networks Computer science Storms Simulation Broadcast storm Bandwidth MANETs Broadcasting Routing protocols Probabilistic Broadcasting
Content Type	Text
Resource Type	Article

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