Evolutionary intelligence in wireless sensor network: routing, clustering, localization and coverage
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Evolutionary intelligence in wireless sensor network: routing, clustering, localization and coverage Ali Jameel Al-Mousawi1
Ó Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract Evolutionary intelligence has become one of the most important directions that improve the performance and effectiveness of automated systems such as communication systems, robotics and engineering industries. Today, there are many applications of evolutionary intelligence in many engineering fields and the most important fields related to computation and informatics engineering as a part of electrical and communication engineering, as modern engineering applications are involved in these fields. The sensor network is the main data source in the world of smart systems nowadays. Additionally, it has become a field of science used in the development of the rest of scientific applications. The need to use evolutionary intelligence in sensor networks has emerged because of the problems encountered by different types of sensor networks. This paper represents a comprehensive scientific review of the role of evolutionary intelligence in sensor networks and its implications for this important part of engineering applications. This paper discusses the theoretical, mathematical and practical application of evolutionary computing with the use of evolutionary algorithms and the improvements resulting from the application of evolutionary intelligence in sensor networks. The content of this paper will review the most important of the evolutionary intelligence from principles, algorithms and applications. The problems facing the types of sensor network has been solved using evolutionary algorithms. After reviewing the evolutionary intelligence and its details in the sensor network, a performance evaluation is presented in the paper at the end of each of the targeted areas of the sensor network. This performance evaluation represents the measure of the quality of improvements provided by evolutionary intelligence in sensor network field with graphical analysis studies to demonstrate the effect of evolutionary algorithms on the sensor network. Keywords Evolutionary Intelligence Automated Sensor Network
1 Introduction A sensor network is a group of electrical sensors connected together by a wired or wireless network for the purpose of transmitting data between sensors units [1]. These networks communicate with one another through a communications network and the communication network acts as the data connector between the sensors and the central node through which the connection is made with the outside
& Ali Jameel Al-Mousawi [email protected] 1
Department of Programming and Intelligent Applications, Information Technology Regulation Directory, Communication and Media Commission of Iraq (CMC), Baghdad, Iraq
world [2]. Sensor networks are used in many engineering, scientific, health and industrial due to their significant impact on systems and increase the accuracy o
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