2014
DOI: 10.12720/jcm.9.11.851-858
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Routing Metric of Expected Delay in Multi-Radio Multi-Channel Wireless Mesh Networks

Abstract: Many routing metrics have been proposed to improve the performance of wireless mesh networks (WMNs). Most of these routing metrics describe intra-flow and inter-flow interference respectively, which brings in adjustable parameters or results in non-isotonicity. However, the adjustable parameters, used to balance the intra-flow and inter-flow interference, are difficult to adapt to the network status, and non-isotonicity makes the design of routing metric complicated. In this paper, we propose an isotonic metri… Show more

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Cited by 5 publications
(2 citation statements)
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“…In multi-hop wireless networks, the routing decision takes spatial reusability into account to improve the end-to-end throughput [ 16 ]. The authors in [ 17 ] utilize the expected available bandwidth to capture the logical intra-flow and inter-flow interference, and an isotonic metric of expected delay is proposed. Dependence among links was revealed recently.…”
Section: Related Workmentioning
confidence: 99%
“…In multi-hop wireless networks, the routing decision takes spatial reusability into account to improve the end-to-end throughput [ 16 ]. The authors in [ 17 ] utilize the expected available bandwidth to capture the logical intra-flow and inter-flow interference, and an isotonic metric of expected delay is proposed. Dependence among links was revealed recently.…”
Section: Related Workmentioning
confidence: 99%
“…Wireless Mesh Networks (WMNs) are based on the ad hoc networking paradigm [5], and they provide self-configurable and self-healing characteristics to dynamic network topologies [6]. Nevertheless, WMNs are more structured than ad hoc networks and can support more complex protocols and routing metrics [7][8][9][10][11][12][13][14]. Furthermore, WMNs allow the interconnection with other types of networks such as wireless local area networks, cellular networks, metropolitan area networks, vehicular networks [15], sensor networks, disaster scenarios [16][17][18][19], smart grid networks, and personal and body area networks [20,21] and the global Internet [22,23].…”
Section: Introductionmentioning
confidence: 99%