Title :
An application of Genetic Fuzzy Systems for wireless sensor networks
Author :
Leal, Líliam Barroso ; Filho, Raimir Holanda ; de S Lemos, Marcus Vinicius ; Rabelo, Ricardo A L ; Borges, Fabio A S
Author_Institution :
Appl. Comp. Sci. Dept., Univ. of Fortaleza, Fortaleza, Brazil
Abstract :
Wireless sensor networks (WSNs) are composed of sensor nodes in order to detect and transmit features from the physical environment. Generally, the sensor nodes transmit information to a special node called sink. Some recent researches have led to the selection of routes in sensor networks with multiple sink nodes. The approach proposed by this paper presents the application of Genetic Fuzzy System (GFSs) for the selection of routes in WSNs, in order to make the communication between multiple sensor nodes and sink nodes. The results obtained through simulations demonstrated a sensor network with a longer lifetime, through the choice of the adequate sink used for sending packets through the network in order to find the best routes.
Keywords :
fuzzy systems; genetic algorithms; wireless sensor networks; genetic fuzzy systems; multiple sink nodes; sensor nodes; wireless sensor networks; Biological cells; Fuzzy logic; Fuzzy systems; Genetics; Pragmatics; Routing protocols; Wireless sensor networks; Fuzzy Inference System; Genetic Algorithms; Mamdani; Sink Nodes; Wireless Sensor Networks;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007598