Title :
Network Lifetime Enhancement of Homogeneous Sensor Network Using ART1 Neural Network
Author :
Mittal, Mohit ; Kumar, Krishan
Author_Institution :
Dept. of Comput. Sci., Gurukul Kangri Univ., Haridwar, India
Abstract :
Wireless sensor network is becoming an interesting area for the significant research due to its ability to monitor the various range of geographical applications all over the world. Cluster routing algorithms are much efficiently work for communication in wireless sensor network. This paper presents the findings and future of cluster-based routing algorithm using ART1 neural networks. ART1 is an unsupervised neural network which can efficiently optimized the result. Results are obtained from MATLAB implementation of ART1 neural network shows that it increases the lifetime of available system by 60% (when one node dies) in comparison to the traditional LEACH algorithm.
Keywords :
ART neural nets; geophysics computing; telecommunication network routing; wireless sensor networks; ART1 neural network; MATLAB; cluster-based routing algorithm; homogeneous sensor network; network lifetime enhancement; unsupervised neural network; wireless sensor network; Clustering algorithms; Neural networks; Protocols; Routing; Training; Vectors; Wireless sensor networks; ART1 neural network; LEACH algorithm; wireless sensor network;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.110