Wireless network

Swarm intelligence

Physics

Computational intelligence

Computer network

Wireless

Algorithm

Distributed computing

Optics

Data mining

Machine learning

Parallel computing

Artificial intelligence

Wireless sensor network

Focus (optics)

Data science

Computer science

Parallelism (grammar)

Big data

Computer security

Telecommunications

Internet of Things

Particle swarm optimization

Sensors

With the continuing advancements in technologies (such as machine to machine, wireless telecommunications, artificial intelligence, and big data analysis), the Internet of Things (IoT) aims to connect everything for information sharing and intelligent decision-making. Swarm intelligence (SI) provides the possibility of SI behavior through collaboration in individuals that have limited or no intelligence. Its potential parallelism and distribution characteristics can be used to realize global optimization and solve nonlinear complex problems. This paper reviews representative SI algorithms and summarizes their applications in the IoT. The main focus consists in the analysis of SI-enabled applications to wireless sensor network (WSN) and discussion of related research problems in the WSN. Also, we concluded SI-based applications in other IoT fields, such as SI in UAV-aided wireless network. Finally, possible research prospects and future trends are drawn.

A Survey of Using Swarm Intelligence Algorithms in IoT