TY - JOUR
T1 - A Survey of Decision-Theoretic Models for Cognitive Internet of Things (CIoT)
AU - Zaheer, Khaqan
AU - Othman, Mohamed
AU - Rehmani, Mubashir Husain
AU - Perumal, Thinagaran
N1 - Funding Information:
Corresponding authors: Khaqan Zaheer (khaqan82@gmail.com), Mohamed Othman (mothman@upm.edu.my), and Mubashir Husain Rehmani (mshrehmani@gmail.com) This work was supported by the Research University Publication Fund, under the Malaysia Ministry of High Education through the Research Management Centre, Universiti Putra Malaysia.
Publisher Copyright:
© 2013 IEEE.
PY - 2018/4/10
Y1 - 2018/4/10
N2 - Communication technology and wide spread usage of Internet of Things (IoT) are rapidly becoming the core enabler for consumers to use their smart devices in their daily routine. These smart devices are gradually transforming the IoT scenario into a new paradigm called cognitive Internet of Things (CIoT). We believe that CIoT will revolutionize many service sectors including smart cities, transportation, health-care, and environmental monitoring. The current development in CIoT is still elusive as it has to achieve effective interoperability and autonomous decision making. Most importantly, the decision theoretic models are seen as an enabler to achieve effective interoperability among heterogeneous CIoT objects. In this paper, we provide a survey of the existing decision theoretic models and their usage for CIoT, an architectural CIoT framework is also proposed to discuss the open issues and solution for potential challenges emerging in the area of CIoT research.
AB - Communication technology and wide spread usage of Internet of Things (IoT) are rapidly becoming the core enabler for consumers to use their smart devices in their daily routine. These smart devices are gradually transforming the IoT scenario into a new paradigm called cognitive Internet of Things (CIoT). We believe that CIoT will revolutionize many service sectors including smart cities, transportation, health-care, and environmental monitoring. The current development in CIoT is still elusive as it has to achieve effective interoperability and autonomous decision making. Most importantly, the decision theoretic models are seen as an enabler to achieve effective interoperability among heterogeneous CIoT objects. In this paper, we provide a survey of the existing decision theoretic models and their usage for CIoT, an architectural CIoT framework is also proposed to discuss the open issues and solution for potential challenges emerging in the area of CIoT research.
KW - Cognitive Internet of Things (CIoT)
KW - decision theoretic models
KW - game theory
KW - Markov decision process
KW - multi-agent learning
KW - multi-arm bandit problem
KW - optimal stopping problem
UR - http://www.scopus.com/inward/record.url?scp=85045330774&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2018.2825282
DO - 10.1109/ACCESS.2018.2825282
M3 - Article
AN - SCOPUS:85045330774
VL - 6
SP - 22489
EP - 22512
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
ER -
