Abstract
Wireless sensor networks are a collection of small sensor nodes that can monitor and sense of their surroundings and sending data to a main station. The limited energy of nodes is a major challenge of sensor networks that affect the survival of the network. Thus, as yet is presented several methods to optimization of energy consumption and increasing the lifetime of a sensor network. In this paper, using fuzzy system design and system optimization by genetic algorithm is presented approach to select the best cluster head in sensor networks. Using random data set has been addressed to evaluate of fuzzy-genetic system presented in this paper and finally, MSE rate or mean error of sending the messages using proposed fuzzy system in comparison with LEACH method is calculated in select the cluster head. The results of evaluations is representative of a reduction the MSE metric in proposed method in comparison with LEACH method for select the cluster head. Reduce of MSE directly is effective on energy consumption and lifetime of wireless sensor network and can cause the reduction of energy consumption and increase the lifetime of the networks.
Highlights
With the advent and development of microelectronic technology in the late 70s, the new sensors were considered
Given the mentioned challenge in this study that is how to choose the best cluster heads in the wireless sensor networks, in this study has been addressed to provide a control way based on the use of genetic fuzzy systems
The selecting cluster heads is done by proposed genetic fuzzy system and based on the properties of each node in the moment of forwarding messages that it may help to distribution of cluster heads in form of more balance in sensor networks
Summary
With the advent and development of microelectronic technology in the late 70s, the new sensors were considered. The main reason for the emergence and development of wireless sensor networks has been applications of continuous monitoring of environments that achieve and permanent human presence in them is difficult or impossible. The solution that considered for achieve to increase lifetime and maintain the network coverage in sensor networks, is reduction of energy consumption of nodes, simultaneous with energy uniform consumption in all nodes in the network. With respect to these reasons, the main purpose of sensor networks is wise and rational management of energy resources. All package that are cause clash, must be discarded and were de novo sending, that the retransmission cause increase of energy consumption
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