DocumentCode :
1508941
Title :
A Self-Organization Framework for Wireless Ad Hoc Networks as Small Worlds
Author :
Banerjee, Abhik ; Agarwal, Rachit ; Gauthier, Vincent ; Yeo, Chai Kiat ; Afifi, Hossam ; Lee, Francis Bu-Sung
Author_Institution :
Centre for Multimedia & Network Technol., Nanyang Technol. Univ., Singapore, Singapore
Volume :
61
Issue :
6
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
2659
Lastpage :
2673
Abstract :
Motivated by the benefits of small-world networks, we propose a self-organization framework for wireless ad hoc networks. We investigate the use of directional beamforming for creating long-range short cuts between nodes. Using simulation results for randomized beamforming as a guideline, we identify crucial design issues for algorithm design. Our results show that, while significant path length reduction is achievable, this is accompanied by the problem of asymmetric paths between nodes. Subsequently, we propose a distributed algorithm for small-world creation that achieves path length reduction while maintaining connectivity. We define a new centrality measure that estimates the structural importance of nodes based on traffic flow in the network, which is used to identify the set of nodes that beamform. We show using simulations that this leads to a significant reduction in path length while maintaining connectivity.
Keywords :
ad hoc networks; distributed algorithms; telecommunication traffic; algorithm design; directional beamforming; distributed algorithm; path length reduction; randomized beamforming; self-organization framework; small-world network; structural importance estimation; traffic flow; wireless ad hoc network; Analytical models; Array signal processing; Directional antennas; Mobile ad hoc networks; Wireless networks; Ad hoc networks; centrality; complex networks; self-organization; small world networks;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2012.2197768
Filename :
6195032
Link To Document :
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