NDLI: An integrated routing and rate adaptation framework for multi-rate multi-hop wireless networks

Content Provider	Springer Nature Link
Author	Kim, Tae Suk Jakllari, Gentian Krishnamurthy, Srikanth V. Faloutsos, Michalis
Copyright Year	2012
Abstract	In this paper, we propose a new integrated framework for joint routing and rate adaptation in multi-rate multi-hop wireless networks. Unlike many previous efforts, our framework considers several factors that affect end-to-end performance. Among these factors, the framework takes into account the effect of the relative positions of the links on a path when choosing the rates of operation and the importance of avoiding congested areas. The key element of our framework is a new comprehensive path metric that we call ETM (for expected transmission cost in multi-rate wireless networks). We analytically derive the ETM metric. We show that the ETM metric can be used to determine the best end-to-end path with a greedy routing approach. We also show that the metric can be used to dynamically select the best transmission rate for each link on the path via a dynamic programming approach. We implement the ETM-framework on an indoor wireless mesh network and compare its performance with that of frameworks based on the popular ETT and the recently proposed ETOP metrics. Our experiments demonstrate that the ETM-framework can yield throughput improvements of up to 253 and 368 % as compared with the ETT and ETOP frameworks.
Starting Page	985
Ending Page	1003
Page Count	19
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	19
Issue Number	5
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2012-11-13
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wireless mesh networking Routing protocols Experimentation Communications Engineering, Networks Computer Communication Networks Electrical Engineering Business Information Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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