DocumentCode :
3102914
Title :
The minimum power broadcast problem in wireless networks: a simulated annealing approach
Author :
Montemanni, Roberto ; Gambardella, Luca Maria ; Das, Arindam K.
Author_Institution :
Ist. Dalle Molle di Studi sull´´Intelligenza Artificiale, Manno-Lugano, Switzerland
Volume :
4
fYear :
2005
fDate :
13-17 March 2005
Firstpage :
2057
Abstract :
Broadcasting in wireless networks, unlike wired networks, inherently reaches several nodes with a single transmission. For an omnidirectional wireless broadcast to a node, all nodes closer to the transmitting node are also reached. This property can be used to compute routing trees which minimize the sum of the transmitter powers. We present a mixed integer programming formulation and a simulated annealing algorithm for the problem. Extensive experimental results for the heuristic approach are presented. They show that the proposed algorithm is capable of improving the results of state-of-the-art algorithms for most of the problems considered. The solutions provided by the simulated annealing algorithm can be improved by applying a very fast post-optimization procedure. This leads to the best known mean results for the problems considered.
Keywords :
ad hoc networks; broadcasting; integer programming; simulated annealing; telecommunication network routing; trees (mathematics); wireless sensor networks; ad-hoc networks; heuristic approach; integer programming formulation; minimum power broadcast problem; omnidirectional wireless broadcast; post-optimization procedure; routing trees; sensor networks; simulated annealing algorithm; transmitter power minimization; Broadcasting; Clustering algorithms; Computational modeling; Costs; Intelligent networks; Linear programming; Radio transmitters; Routing; Simulated annealing; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2005 IEEE
ISSN :
1525-3511
Print_ISBN :
0-7803-8966-2
Type :
conf
DOI :
10.1109/WCNC.2005.1424835
Filename :
1424835
Link To Document :
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