A survey on combined applications of Meta-heuristic Algorithms with Internet of Things

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.