A survey on combined applications of Meta-heuristic Algorithms with Internet of Things
محورهای موضوعی : Operation ResearchMorteza Salamat Mostaghim 1 , Azam Andalib 2 , Hossein Azgomi 3
1 - Department of Computer Engineering, Ra.C., Islamic Azad University, Rasht, Iran
2 - گروه مهندسی کامپیوتر، واحد رشت، دانشگاه آزاد اسلامی، رشت، ایران
3 - Department of Computer Engineering, Ra.C., Islamic Azad University, Rasht, Iran
کلید واژه: Internet of Things, IoT, Optimization, Meta-heuristics algorithm, Applications of Meta-heuristic Algorithms in IoT,
چکیده مقاله :
Systems based on Internet of Things are dynamic and complex sets of intelligent objects. Today, the global field of IoT is expanding and is opening up new opportunities for technology. Meta-heuristic algorithms are provided to solve complex problems in an acceptable time. These algorithms select the best solution to the problem in order to maximize profit or minimize cost. So far, meta-heuristic algorithms have been used to solve many problems in the Internet of Things.
In this paper, some practical aspects of the Internet of Things are reviewed. In addition, some of the most popular meta-heuristic optimization methods are analyzed. Then, a classification of IoT-based systems that have used meta-heuristic algorithms is presented. This classification includes four levels: discrete or continuous, type of meta-heuristic algorithms, single or multi objectives, and aim or application of the research. This review provides a way for future studies to easily select meta-heuristic algorithms for Internet of Things systems.
چکیده انگلیسی:
Systems based on Internet of Things are dynamic and complex sets of intelligent objects. Today, the global field of IoT is expanding and is opening up new opportunities for technology. Meta-heuristic algorithms are provided to solve complex problems in an acceptable time. These algorithms select the best solution to the problem in order to maximize profit or minimize cost. So far, meta-heuristic algorithms have been used to solve many problems in the Internet of Things.
In this paper, some practical aspects of the Internet of Things are reviewed. In addition, some of the most popular meta-heuristic optimization methods are analyzed. Then, a classification of IoT-based systems that have used meta-heuristic algorithms is presented. This classification includes four levels: discrete or continuous, type of meta-heuristic algorithms, single or multi objectives, and aim or application of the research. This review provides a way for future studies to easily select meta-heuristic algorithms for Internet of Things systems.
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