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EER-Al:An Energy Efficient Routing Protocol Based on Automated Learning Method


Affiliations
1 Department of Computer Engineering, Istanbul Sabahttin Zaim University, Turkey
     

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The issue of energy in a wireless sensor network is one of the most important challenges for these networks. This issue is also being considered today in the new IoT topic. This paper studies the ability of the learning automata model to solve the problem in the sensor networks. Because they have capabilities such as low computational load, ability to use in distributed environments, and inaccurate information, require the least feedback from the environment, etc. One of the solutions to energy optimization is to provide routing protocols. In the routing area, a routing protocol based on learning automata has been proposed in which the network lifetime criterion is considered. The simulation results and the comparison of the proposed protocol with other protocols indicate that this protocol has better performance in the energy conversation and network lifetime.

Keywords

Wireless Sensor Networks, Energy Efficiency, Routing Protocol, Fault Tolerance, Automated Learning.
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  • EER-Al:An Energy Efficient Routing Protocol Based on Automated Learning Method

Abstract Views: 246  |  PDF Views: 5

Authors

Farzad Kiani
Department of Computer Engineering, Istanbul Sabahttin Zaim University, Turkey

Abstract


The issue of energy in a wireless sensor network is one of the most important challenges for these networks. This issue is also being considered today in the new IoT topic. This paper studies the ability of the learning automata model to solve the problem in the sensor networks. Because they have capabilities such as low computational load, ability to use in distributed environments, and inaccurate information, require the least feedback from the environment, etc. One of the solutions to energy optimization is to provide routing protocols. In the routing area, a routing protocol based on learning automata has been proposed in which the network lifetime criterion is considered. The simulation results and the comparison of the proposed protocol with other protocols indicate that this protocol has better performance in the energy conversation and network lifetime.

Keywords


Wireless Sensor Networks, Energy Efficiency, Routing Protocol, Fault Tolerance, Automated Learning.

References