DocumentCode
1852642
Title
Minimum energy broadcast in multi-channel wireless sensor network with directional antennas
Author
Jiang, Ailian ; Xie, Keming
Author_Institution
Dept. of Comput. Sci. & Technol., Taiyuan Univ. of Technol., Taiyuan, China
Volume
2
fYear
2010
fDate
1-3 Aug. 2010
Abstract
We studied the Minimum Energy Broadcast problem in wireless sensor network that were subjected to hard constraints on available energy and equipped with directional multibeam antennas by formulating and solving the corresponding optimization problem. Multibeam is the combination of two technologies of multi-channel and directional antennas. It was used to save energy further, improve the throughput and reduce the interference in wireless communication. On the basis of BIP algorithm, which was proposed for constructing the energy efficient broadcast tree in infrastructureless wireless networks with omnidirectional antenna, we presented a greedy algorithm for the solution of the optimization problem. We claimed that when computing the least incremental power to decide which node can be added to the intermediate tree, we only needed to consider two possible cases of beam reassignment. The algorithm has the time complexity of O(mn3).
Keywords
computational complexity; directive antennas; optimisation; trees (mathematics); wireless sensor networks; beam reassignment; directional multibeam antennas; greedy algorithm; intermediate tree; maximum lifetime broadcast algorithm; minimum energy broadcast; multichannel antennas; multichannel wireless sensor network; omnidirectional antenna; optimization problem; time complexity; Approximation algorithms; Directional antennas; Directive antennas; Energy efficiency; Optimization; Wireless sensor networks; BIP; Minimum Energy Broadcast; algorithm; directional multibeam antennas; multiple channels; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Information Engineering (ICEIE), 2010 International Conference On
Conference_Location
Kyoto
Print_ISBN
978-1-4244-7679-4
Electronic_ISBN
978-1-4244-7681-7
Type
conf
DOI
10.1109/ICEIE.2010.5559742
Filename
5559742
Link To Document