NDLI: Localized low-weight graph and its applications in wireless ad hoc networks

Content Provider	IEEE Xplore Digital Library
Author	Xiang-Yang Li Yu Weng Peng-Jun Wan Wen-Zhan Song Frieder, O.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA (Xiang-Yang Li; Yu Weng; Peng-Jun Wan; Wen-Zhan Song; Frieder, O.)
Abstract	We propose a new localized structure, namely, Incident MST and RNG Graph (IMRG), for topology control and broadcasting in wireless ad hoc networks. In the construction algorithm, each node first builds a modified relative neighborhood graph (RNG'), and then informs its one-hop neighbors its incident edges in RNG'. Each node then collects all its one-hop neighbors and the two-hop neighbors who have RNG edges to some of its one-hop neighbors, and builds an Euclidean minimum spanning tree of these nodes. Each node u keeps an edge uv only if uv is in the constructed minimum spanning tree. We analytically prove that the node degree of the IMRG is at most 6, it is connected and planar, and more importantly, the total edge length of the IMRG is within a constant factor of that of the minimum spanning tree. To the best of our knowledge, this is the first algorithm that can construct a structure with all these properties using small communication messages (at most 13n total messages, each with O(logn) bits) and small computation cost, where n is the number of wireless nodes. Test results are corroborated in the simulation study.
File Size	940622
File Format	PDF
ISBN	0780383559
ISSN	0743166X
DOI	10.1109/INFCOM.2004.1354515
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-03-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Ad hoc networks Mobile ad hoc networks Network topology Relays Wireless networks Costs Application software Computer science Tree graphs
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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