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...

Full description

Saved in:
Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 20; no. 5; p. 1420
Main Authors Sun, Weifeng, Tang, Min, Zhang, Lijun, Huo, Zhiqiang, Shu, Lei
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 05.03.2020
MDPI
Subjects
Online AccessGet full text

Cover

Loading…
More Information
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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:1424-8220
1424-8220
DOI:10.3390/s20051420