DocumentCode
3008128
Title
A distributed algorithm for constructing minimum connected dominating set in mobile wireless network
Author
Kheyrihassankandi, Jahangir ; Singh, Yashwant Prasad ; Ho, Chin Kuan
Author_Institution
Fac. of Comput. & Inf., Multimedia Univ., Cyberjaya, Malaysia
fYear
2012
fDate
3-5 July 2012
Firstpage
396
Lastpage
401
Abstract
In this paper, we propose an Artificial Bee Colony (ABC) algorithm, a swarm-based artificial intelligence algorithm, for computing a connected dominating set (CDS) in ad hoc wireless networks, which include mobile ad hoc networks (MANETS). ABC Algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. Wireless ad hoc networks appear in a wide variety of applications, including mobile wireless networks. In this work ABC algorithm is proposed as optimizing heuristic algorithm for the connected dominating set problem in dynamic environment. This approach guarantees properties of correctness, progressiveness, locality, and seamlessness, and also has better throughput than cyclic iterative local solution (CILS) and seamless iterative local solution (SILS). Extensive simulations are conducted to evaluate the effectiveness of the proposed approach in both static and dynamic environments.
Keywords
distributed algorithms; mobile ad hoc networks; optimisation; set theory; MANETS; ad hoc wireless networks; artificial bee colony algorithm; distributed algorithm; minimum connected dominating set; mobile ad hoc network; mobile wireless network; optimization algorithm; swarm based artificial intelligence algorithm; Ad hoc networks; Algorithm design and analysis; Heuristic algorithms; Mobile computing; Robots; Topology; Wireless networks; Artificial Bee Colony (ABC) algorithm; Connected dominating set (CDS); dynamic node priority; local solution; mobile ad hoc networks (MANETS); simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Engineering (ICCCE), 2012 International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4673-0478-8
Type
conf
DOI
10.1109/ICCCE.2012.6271218
Filename
6271218
Link To Document