Markov Random Fields based probabilistic relaying for multihop networks
conference contributionposted on 2017-12-06, 00:00 authored by Aruna JayasuriyaAruna Jayasuriya, S Perreau, M Sigelle
In this paper, we demonstrate how a Markov Random Field (MRF) based framework can be used for multihop networks analysis and design. In fields such as image processing it has been shown that MRFs is a powerful tool to analyse distributed systems with strong spacial interactions, which is also a defining characteristic of multihop networks. In this work we focus on using MRFs to model traffic intensity of sensor networks using shortest path routing. Later we propose a probabilistic relaying mechanism to recreate a traffic pattern similar to that observed in a network using shortest path routing. The objective is to emulate the shortest path performance without complex routing protocols and associated overheads. Using a simulation study we then show that the proposed mechanism achieves 95% of the throughput of shortest path, without using a routing protocol.
Parent Title2013 IEEE Wireless Communications and Networking Conference (WCNC).
Number of Pages6
LocationShanghai, Shanghai, China
Place of PublicationNew York
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External Author AffiliationsInstitut TELECOM; Not affiliated to a Research Institute; School of Engineering and Technology (2013- ); University of South Australia;