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A Survey:Optimization of Energy Consumption by using the Genetic Algorithm in WSN based Internet of Things


Affiliations
1 Department of Computer Engineering, Ardabil Sience and Reasearch Branch, Islamic Azad University, Ardabil, Iran, Islamic Republic of
2 Deartment of Computer Engineering, University of Mohaghegh Ardabili, Iran, Islamic Republic of
     

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Internet of things(IoT) includes a lot of key technologies; wireless sensor networks are one of them. Wireless sensor technology plays a pivotal role in bridging the gap between the physical and virtual worlds, and enabling things to collect data from their environment, generating information, raising awareness about context and respond to changes in their physical environment. What makes the difference between IoT with other computing areas is their large-scale in terms of number of objects, events and mutual communication between the objects. Communication between objects consumes power and therefore after the period sensor object loses energy and stops working. So energy efficiency is a major goal of the Internet of Things and in particular the sensor nodes. In this article, we will discuss strategies for energy optimization based on genetic algorithms in sensor objects. We also evaluate different performance optimization strategy based on GAs.


Keywords

Energy Optimizing, IoT, Clustering, Genetic Algorithm, WSNs.
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  • A Survey:Optimization of Energy Consumption by using the Genetic Algorithm in WSN based Internet of Things

Abstract Views: 237  |  PDF Views: 3

Authors

Mohammad Esmaeili
Department of Computer Engineering, Ardabil Sience and Reasearch Branch, Islamic Azad University, Ardabil, Iran, Islamic Republic of
Shahram Jamali
Deartment of Computer Engineering, University of Mohaghegh Ardabili, Iran, Islamic Republic of

Abstract


Internet of things(IoT) includes a lot of key technologies; wireless sensor networks are one of them. Wireless sensor technology plays a pivotal role in bridging the gap between the physical and virtual worlds, and enabling things to collect data from their environment, generating information, raising awareness about context and respond to changes in their physical environment. What makes the difference between IoT with other computing areas is their large-scale in terms of number of objects, events and mutual communication between the objects. Communication between objects consumes power and therefore after the period sensor object loses energy and stops working. So energy efficiency is a major goal of the Internet of Things and in particular the sensor nodes. In this article, we will discuss strategies for energy optimization based on genetic algorithms in sensor objects. We also evaluate different performance optimization strategy based on GAs.


Keywords


Energy Optimizing, IoT, Clustering, Genetic Algorithm, WSNs.