Open AccessINCREASING THE LIFETIME OF HETEROGENEOUS SENSOR NETWORK BY USING GENETIC-FUZZY CLUSTERING
Author(s) -
Seyed Mohammad Abedini,
Abbas Karimi
Publication year - 2013
Publication title -
international journal of smart sensors and ad hoc networks
Language(s) - English
Resource type - Journals
ISSN - 2248-9738
DOI - 10.47893/ijssan.2013.1161
Subject(s) - wireless sensor network , base station , cluster analysis , computer science , fuzzy logic , genetic algorithm , key distribution in wireless sensor networks , computer network , centrality , energy (signal processing) , process (computing) , efficient energy use , real time computing , distributed computing , wireless , wireless network , engineering , artificial intelligence , electrical engineering , mathematics , telecommunications , machine learning , statistics , combinatorics , operating system
Wireless sensor network is composed of hundreds or thousands of sensor nodes which have computational, energy and memory limitation. Its duty is to receive information from its surrounding environment, analyze and process data and to send the received data to other nodes or base station. In these networks, sensor nodes are dependent on low power batteries to provide their energy. As energy is a challenging issue in these networks, clustering models are used to overcome this problem. In this paper, fuzzy logic and genetic algorithm are combined to increase the lifetime of the wireless sensor network. In other words, fuzzy logic is used to introduce the best nodes, those that in comparison to other nodes have more energy, density and centrality, to base station as cluster head candidate. Then, the number and place of cluster heads are determined in base station by using genetic algorithm. Also, the network acts heterogeneously and includes several nodes with different parameters.