DocumentCode :
460720
Title :
Topology Control to Simultaneously Achieve Near-Optimal Node Degree and Low Path Stretch in Ad hoc Networks
Author :
Gelal, Ece ; Jakllari, Gentian ; Krishnamurthy, Srikanth V. ; Young, Neal E.
Author_Institution :
Dept. of Comput. Sci. & Eng., California Univ., Riverside, CA
Volume :
2
fYear :
2006
fDate :
28-28 Sept. 2006
Firstpage :
431
Lastpage :
439
Abstract :
Our objective in this paper is to design topology control algorithms such that (i) nodes have low degree and (ii) paths in the network have few hops. Low node degree is desirable in networks equipped with smart antennas and to reduce access contention. Short paths are desirable for minimizing communication delays and for better robustness to channel impairments and to mobility. Given any arbitrary unit-disc graph G representing all feasible links, our algorithms find a sparse subgraph G´ having a maximum node degree of six and, for each pair of vertices u, v, having hops(u, v) = O(hopsG(u,v) + logDelta), where Delta is the maximum node degree in G and hops G(u, v) denotes the shortest path length from u to v in G. This result is near-optimal: (i) there is a connected UDG G in which no connected subgraph has degree less than five, and (ii) for any graph G, any bounded-degree subgraph G´ must have hops(u, v) = Omega(hopsG(u, v) + logDelta) for some u, v. Our distributed algorithm scales, preserves link symmetry, does not need node synchronization, and requires only O(n) messages. We perform extensive simulations that quantify the performance of our algorithm in realistic scenarios
Keywords :
ad hoc networks; adaptive antenna arrays; graph theory; telecommunication control; telecommunication network topology; ad hoc networks; bounded-degree subgraph; communication delays; distributed algorithm scales; link symmetry; near-optimal node degree; smart antennas; topology control; unit disk graph; Ad hoc networks; Algorithm design and analysis; Communication system control; Communications Society; Computer science; Directional antennas; MIMO; Network topology; Peer to peer computing; Spine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor and Ad Hoc Communications and Networks, 2006. SECON '06. 2006 3rd Annual IEEE Communications Society on
Conference_Location :
Reston, VA
Print_ISBN :
1-4244-0626-9
Type :
conf
DOI :
10.1109/SAHCN.2006.288499
Filename :
4068300
Link To Document :
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