Key Lab Intelligent Control & Optimizat Ind Equip, Dalian University of Technology, Dalian 116024, China.
University of Lincoln, Lincoln 65102, UK.
Sensors (Basel). 2020 Mar 5;20(5):1420. doi: 10.3390/s20051420.
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.
随着技术（如机器对机器、无线电信、人工智能和大数据分析）的不断进步，物联网旨在连接一切事物，以实现信息共享和智能决策。群体智能 (SI) 通过在智能有限或没有智能的个体之间进行协作，提供了实现 SI 行为的可能性。它潜在的并行性和分布特性可以用于实现全局优化和解决非线性复杂问题。本文回顾了有代表性的 SI 算法，并总结了它们在物联网中的应用。主要重点在于分析启用 SI 的应用程序对无线传感器网络 (WSN) 的应用，并讨论 WSN 中的相关研究问题。此外，我们还总结了基于 SI 的其他物联网领域的应用，如无人机辅助无线网络中的 SI。最后，得出了可能的研究前景和未来趋势。
