The distance-2 matching problem and its relationship to the MAC-layer capacity of ad hoc wireless networks

被引:91
作者
Balakrishnan, H
Barrett, CL
Kumar, VSA
Marathe, MV
Thite, S
机构
[1] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02139 USA
[2] Los Alamos Natl Lab, Basic & Appl Simulat Sci Grp, Los Alamos, NM 87545 USA
[3] Univ Illinois, Dept Comp Sci, Urbana, IL 61801 USA
基金
美国国家科学基金会;
关键词
approximation algorithms; graph theory; media-access (MAC) protocols; network capacity; sensor networks; wireless ad hoc networks;
D O I
10.1109/JSAC.2004.830909
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider the problem of determining the maximum capacity of the media access (MAC) layer in wireless ad hoc networks. Due to spatial contention for the shared wireless medium, not all nodes can concurrently transmit packets to each other in these networks. The maximum number of possible concurrent transmissions is, therefore, an estimate of the maximum network capacity, and depends on the MAC protocol being used. We show that for a large class of MAC protocols based on virtual carrier sensing using RTS/CTS messages, which includes the popular IEEE 802.11 standard, this problem may be modeled as a maximum Distance-2 matching (D2EMIS) in the underlying wireless network: Given a graph G(V, E), find a set of edges E' subset of or equal to E such that no two edges in E' are connected by another edge in E. D2EMIS is NP-complete. Our primary goal is to show that it can be approximated efficiently in networks that arise in practice. We do this by focusing on an admittedly simplistic, yet natural, graph-theoretic model for ad hoc wireless networks based on disk graphs, where a node can reach all other nodes within some distance (nodes may have unequal reach distances). We show that our approximation yields good capacity bounds. Our Work is the first attempt at characterizing an important "maximum" measure of wireless network capacity, and can be used to shed light on previous topology formation protocols like Span and GAF that attempt to produce "good" or "capacity-preserving" topologies, while allowing nodes to-alternate between sleep and awake states. Out work shows an efficient way to compute an upper bound on maximum wireless network capacity, thereby allowing topology formation algorithms to determine how close they are to optimal. We also outline a distributed algorithm for the problem for unit disk graphs, and briefly discuss extensions of our results to: 1) different no de interference models; 2) directional antennas; and 3) other transceiver connectivity structures besides disk graphs.
引用
收藏
页码:1069 / 1079
页数:11
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