Swarm intelligence-based algorithms within IoT-based systems: A review

Abstract

IoT-based systems are complex and dynamic aggregations of entities (Smart Objects) which usually lack decentralized control. Swarm Intelligence systems are decentralized, self-organized algorithms used to resolve complex problems with dynamic properties, incomplete information, and limited computation capabilities. This study provides an initial understanding of the technical aspects of swarm intelligence algorithms and their potential use in IoT-based applications. We present the existing swarm intelligence-based algorithms with their main applications, then we present existing IoT-based systems that use SI-based algorithms. Finally, we discuss trends to bring together swarm intelligence and IoT-based systems. This review will pave the path for future studies to easily choose the appropriate SI-based algorithm for IoT-based systems.