A Survey of Using Swarm Intelligence Algorithms in IoT

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) provide...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2020-03, Vol.20 (5), p.1420
Main Authors: Sun, Weifeng, Tang, Min, Zhang, Lijun, Huo, Zhiqiang, Shu, Lei
Format: Article
Language:English
Subjects:
Algorithms
ant colony optimization
artificial bee colony algorithm
Behavior
Cloud computing
Cooperation
Data collection
Energy consumption
Global optimization
Internet of Things
Localization
Optimization
particle swarm optimization
Radio frequency identification
Review
Sensors
swarm intelligence algorithm
uav
Wireless networks
wireless sensor network
Wireless sensor networks
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20051420