Title :
The New Genetic Based Method with Optimum Number of Super Node in Heterogeneous Wireless Sensor Network for Fault Tolerant System
Author :
Navimipour, Nima Jafari ; Rahmani, Amir Masoud
Author_Institution :
Islamic Azad Univ., Tabriz, Iran
Abstract :
In this paper the new method for determining the number of super node in heterogeneous wireless sensor network based on evolutionary algorithms are presented. The network consisting of several resource-rich supernodes, used for data relaying, and a large number of energy-constrained wireless sensor nodes. The main contribution of this paper is to reach an optimum trade off between number of super node and efficiency. Simulation results show that our algorithm can quickly find a good solution.
Keywords :
fault tolerance; genetic algorithms; wireless sensor networks; data relaying; evolutionary algorithms; fault tolerant system; genetic algorithms; heterogeneous wireless sensor network; node efficiency; super nodes; Biological cells; Fault tolerant systems; Genetic algorithms; Intelligent sensors; Monitoring; Quality of service; Road safety; Sensor phenomena and characterization; Temperature sensors; Wireless sensor networks;
Conference_Titel :
Intelligent Networking and Collaborative Systems, 2009. INCOS '09. International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-5165-4
Electronic_ISBN :
978-0-7695-3858-7
DOI :
10.1109/INCOS.2009.86
