To promote future intelligent systems, a novel cyber-physical-social smart system powered by the Internet of Things is presented in this paper, where wireless network virtualization is adopted to enhance the diversity and the flexibility of the service operation and the system management. Based on the presented system, a robust energy-efficient resource allocation scheme is proposed to guarantee the outage probability requirements of controllers and actuators while realizing the maximization of the system energy efficiency. Different from the existing works, imperfect channel state information is studied for energy-efficient resource allocation in cyber-physical-social smart systems. To effectively handle the formulated optimization problem, the concept of virtual devices is introduced to equivalently reformulate the original problem. Afterwards, the probabilistic mixed problem is approximately transformed into a non-probabilistic problem though outage probability analyses. After the transformation, the optimization problem can be decomposed into power allocation and channel allocation, where an iterative algorithm for power allocation is adopted to maximize the system energy, and a heuristic greedy algorithm is presented to schedule sensors and actuators on different sub-channels based on the obtained power allocation results. Simulation results demonstrate the convergency of the proposed algorithm and the advantages of the proposed scheme.

Additional Metadata
Keywords Actuators, Cyber-physical-social smart system, energy efficiency, imperfect channel state information, Internet of Things, Internet of Things, Physical layer, Resource management, Robustness, Sensors, Virtualization, virtualization.
Persistent URL dx.doi.org/10.1109/JIOT.2018.2869774
Journal IEEE Internet of Things Journal
Citation
Zhou, Y. (Yuchen), Yu, F.R, Chen, J. (Jian), & Kuo, Y. (Yonghong). (2018). Robust Energy-Efficient Resource Allocation for IoT-Powered Cyber-Physical-Social Smart Systems with Virtualization. IEEE Internet of Things Journal. doi:10.1109/JIOT.2018.2869774