Abstract :
Summary form only given. There have been papers indicating that the maximal ratio combiner device can result in energy savings in wireless ad hoc networks by using hitch-hiking. We study the min-energy broadcast with hitch-hiking problem, an idealized version of broadcast using hitch-hiking, a problem studied experimentally in the INFOCOM 2004 paper of Agarwal et al. min-energy broadcast with hitch-hiking captures the maximum savings one can achieve in broadcasting using maximal ratio combiners. We show that the optimum of the classical min-energy broadcast problem is at most O(log2 n) times the optimum of min-energy broadcast with hitch-hiking, where n is the number of nodes in the networks. We show that this bound is tight up to a constant. Moreover, the same bounds hold for Unicast. In the special case when the nodes are on a line and the power requirement for node u to reach node v is d(u, v)K, where d(u, v) the Euclidean distance between u and v and k is the signal attenuation exponent, which is assumed to be in between 2 and 5, we show that the optimum of the min-energy broadcast problem is at most a constant times optimum of min-energy broadcast with hitch-hiking. A formal definition of min-energy broadcast with hitch-hiking is given below. The input consists of a complete directed graph G = (V, E) with power requirement function c : E rarr R+ , and a source s epsi V. The output consists of a permutation tau =< v1, v2, ..., v n > of V with vn = s and power assignment p(v) of every vertex v. For every 1 les i les i < j les n, define q(vi, vj ) = p(vi)/c(vi)j). An output is feasible if for every j > 1 we have Sigmai = 1 j - 1 q(vivj) ges 1. The objective is to minimize Sigmai = 1 n p(vi)
Keywords :
ad hoc networks; computational complexity; directed graphs; wireless sensor networks; directed graph; hitch-hiking problem; min-energy broadcast; unicast; wireless ad-hoc network; Ad hoc networks; Attenuation; Broadcast technology; Broadcasting; Computer science; Euclidean distance; Intelligent networks; Mobile ad hoc networks; Software engineering; Unicast;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2006. SNPD 2006. Seventh ACIS International Conference on