DocumentCode :
3005226
Title :
Fault tolerant bio-inspired topology control mechanism for autonomous mobile node distribution in MANETs
Author :
Gundry, Stephen ; Jianmin Zou ; Kusyk, Janusz ; Uyar, M. Umit ; Sahin, Cem S.
Author_Institution :
Dept. of Electr. Eng., City Coll. of New York, New York, NY, USA
fYear :
2012
fDate :
Oct. 29 2012-Nov. 1 2012
Firstpage :
1
Lastpage :
6
Abstract :
We introduce a fault tolerant bio-inspired topolog-ical control mechanism (TCM-Y) for the evolutionary decision making process of autonomous mobile nodes that adaptively adjust their spatial configuration in MANETs. TCM-Y is based on differential evolution and maintains a user-defined minimum connectivity for each node with its near neighbors. TCM-Y, therefore, provides a topology control mechanism which is fault tolerant with regards to network connectivity that each mobile node is required to maintain. In its fitness calculations, TCM-Y uses the Yao graph structure to enforce a user-defined minimum number of neighbors while obtaining uniform network topology. The effectiveness of TCM-Y is evaluated by comparing it with our differential evolution based topology mechanism (TCM-DE) that uses virtual forces from neighbors in its fitness function. Experimental results obtained from simulation software show that TCM-Y performs well with respect to normalized area coverage, the average connectivity, and the minimum connectivity achieved by mobile nodes. Simulation experiments demonstrate that TCM-Y generates encouraging results for uniform distribution of mobile nodes over unknown terrains while maintaining a user-defined minimum connectivity between neighboring nodes.
Keywords :
decision making; decision theory; evolutionary computation; fault tolerance; graph theory; mobile ad hoc networks; telecommunication control; telecommunication network topology; MANET; TCM-DE; TCM-Y; Yao graph structure; autonomous mobile node distribution; differential evolution based topology mechanism; evolutionary decision making process; fault tolerant bio-inspired topology control mechanism; fitness function; neighboring nodes; simulation software; uniform network topology; user-defined minimum connectivity; Ad hoc networks; Mobile computing; Mobile nodes; Sociology; Statistics; Topology; MANETs; Yao graph; area coverage; bio-inspired algorithms; differential evolution; node-spreading; topology control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2012 - MILCOM 2012
Conference_Location :
Orlando, FL
ISSN :
2155-7578
Print_ISBN :
978-1-4673-1729-0
Type :
conf
DOI :
10.1109/MILCOM.2012.6415743
Filename :
6415743
Link To Document :
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