Title :
Adaptive design optimization of wireless sensor networks using Artificial Immune Algorithms
Author :
Lu, Xingjia ; Ding, Yongsheng ; Hao, Kuangrong
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai
Abstract :
The topology control is a very important issue in wireless sensor networks (WSNs). Many approaches have been proposed to carry out in this aspect, including modern heuristic approach. In this paper, the Topology Control based on Artificial Immune Algorithm (ToCAIA) is proposed to solute the energy-aware topology control for WSNs. ToCAIA is a heuristic algorithm, which is heuristic from the immune system of human. In ToCAIA, the antibody is the solution of the problem, and the antigen is the problem. ToCAIA could be used to solve the multi-objective minimum energy network connectivity (MENC) problem, and get the approximate solution. The experiment result shows that the topology control by using ToCAIA can be utilized for WSNs network optimization purposes.
Keywords :
artificial immune systems; wireless sensor networks; adaptive design optimization; artificial immune algorithms; energy-aware topology control; heuristic algorithm; multi-objective minimum network connectivity; wireless sensor networks; Design optimization; Educational technology; Energy consumption; Heuristic algorithms; Immune system; Mobile ad hoc networks; Network topology; Routing; Textile technology; Wireless sensor networks;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630886
