TY - GEN
T1 - On graphs supporting greedy forwarding for directional wireless networks
AU - Si, Weisheng
AU - Scholz, Bernhard
AU - Gudmundsson, Joachim
AU - Mao, Guoqiang
AU - Boreli, Roksana
AU - Zomaya, Albert
PY - 2012
Y1 - 2012
N2 - ![CDATA[Greedy forwarding is an efficient and scalable geographic routing algorithm for wireless networks. To guarantee the success of greedy forwarding, many research efforts assign virtual coordinates to nodes to obtain a greedy embedding of the network. Different from these existing efforts, this paper presents an approach that enables greedy forwarding to succeed in directional wireless networks by selecting links in the network instead of assigning virtual coordinates to the nodes. Specifically, this paper studies the following problem: given a set of nodes on the Euclidean plane, how can we add a minimum number of point-to-point links, such that the greedy forwarding algorithm succeeds on the resulting network. The motivation for studying this problem is that each point-to-point link in directional wireless networks is realized by a pair of directional antennas, so minimizing the number of links will reduce the network installation cost. This paper first presents the properties of the graphs supporting greedy forwarding, and then solves the above problem optimally by Integer Linear Programming and also suboptimally by a polynomial-time 3-approximation algorithm. Finally, this paper compares the polynomial-time algorithm with the optimal solution, showing that the polynomial-time algorithm can actually generate within 1.1 times the number of links found by the optimal solution in most cases.]]
AB - ![CDATA[Greedy forwarding is an efficient and scalable geographic routing algorithm for wireless networks. To guarantee the success of greedy forwarding, many research efforts assign virtual coordinates to nodes to obtain a greedy embedding of the network. Different from these existing efforts, this paper presents an approach that enables greedy forwarding to succeed in directional wireless networks by selecting links in the network instead of assigning virtual coordinates to the nodes. Specifically, this paper studies the following problem: given a set of nodes on the Euclidean plane, how can we add a minimum number of point-to-point links, such that the greedy forwarding algorithm succeeds on the resulting network. The motivation for studying this problem is that each point-to-point link in directional wireless networks is realized by a pair of directional antennas, so minimizing the number of links will reduce the network installation cost. This paper first presents the properties of the graphs supporting greedy forwarding, and then solves the above problem optimally by Integer Linear Programming and also suboptimally by a polynomial-time 3-approximation algorithm. Finally, this paper compares the polynomial-time algorithm with the optimal solution, showing that the polynomial-time algorithm can actually generate within 1.1 times the number of links found by the optimal solution in most cases.]]
KW - approximation algorithms
KW - greedy forwarding
KW - polynomials
KW - topology control
KW - wireless communication systems
KW - wireless networks
UR - http://handle.uws.edu.au:8081/1959.7/521386
UR - http://www.ieee-icc.org/2012/
U2 - 10.1109/ICC.2012.6363880
DO - 10.1109/ICC.2012.6363880
M3 - Conference Paper
SN - 9781457720512
SP - 761
EP - 766
BT - 2012 IEEE International Conference on Communications (ICC 2012), Ottawa, Ontario, Canada, 10-15 June 2012
PB - IEEE
T2 - IEEE International Conference on Communications
Y2 - 10 June 2012
ER -