TY - CHAP
T1 - A Survey on Computational Intelligence Techniques for Internet of Things
AU - Shreyas, J.
AU - Kumar, S. M.Dilip
N1 - Publisher Copyright:
© 2020, Springer Nature Singapore Pte Ltd.
PY - 2020
Y1 - 2020
N2 - The application of computational intelligence (CI) techniques to Internet of things (IoT) is gaining popularity due to its capability of providing human-like knowledge, such as cognition, recognition, understanding, learning, and others. This paper attempts to provide an exhaustive survey of the available literature on IoT using CI techniques. In addition, detailed categorization has been provided on the basis of different CI tools and their hybridizations are used to tackle different problems of IoT. The potential benefits and utility of CI techniques in IoT are highlighted. The advantages and disadvantages of CI algorithms over traditional IoT solutions are discussed. Finally, some considerations regarding the recent trends and potential research directions are presented.
AB - The application of computational intelligence (CI) techniques to Internet of things (IoT) is gaining popularity due to its capability of providing human-like knowledge, such as cognition, recognition, understanding, learning, and others. This paper attempts to provide an exhaustive survey of the available literature on IoT using CI techniques. In addition, detailed categorization has been provided on the basis of different CI tools and their hybridizations are used to tackle different problems of IoT. The potential benefits and utility of CI techniques in IoT are highlighted. The advantages and disadvantages of CI algorithms over traditional IoT solutions are discussed. Finally, some considerations regarding the recent trends and potential research directions are presented.
UR - https://www.scopus.com/pages/publications/85089605804
UR - https://www.scopus.com/pages/publications/85089605804#tab=citedBy
U2 - 10.1007/978-981-15-3325-9_21
DO - 10.1007/978-981-15-3325-9_21
M3 - Chapter
AN - SCOPUS:85089605804
T3 - Lecture Notes in Networks and Systems
SP - 271
EP - 282
BT - Lecture Notes in Networks and Systems
PB - Springer
ER -