Transmission Optimization of Social and Physical Sensor Nodes via Collaborative Beamforming in Cyber-Physical-Social Systems

Abstract

The recently emerging cyber-physical-social system (CPSS) can enable efficient interactions between the social world and cyber-physical system (CPS). The wireless sensor network (WSN) with physical and social sensor nodes plays an important role in CPSS. The integration of the social sensors and physical sensors in CPSS provides an advantage for smart services in different application areas. However, the dynamics of social mobility for social sensors pose new challenges for implementing the coordination of transmission. Furthermore, the integration of social and physical sensors also faces the challenges in term of improving energy efficiency and increasing transmission range. To solve these problems, we integrate the model of social dynamics with collaborative beamforming (CB) technique to formulate the transmission optimization problem as a dynamic game. A novel transmission scheme based on reinforcement learning is proposed to solve the formulated problem. The corresponding implementation of the proposed transmission scheme in CPSS is presented by the design of message exchange processes. The extensive simulation results demonstrate that the proposed transmission scheme presents lower interference to noise ratio (INR) and better signal to noise ratio (SNR) performance in comparison with the existing schemes. The results also indicate that the proposed method has effective adaptation to the dynamic mobility of social sensor nodes in CPSS.

Social Dimensions in CPS & IoT Based Automated Production Systems

“…On the one hand, IoT would correspond to the horizontal connectivity and synchronization between physical or cyber objects, performed thanks to internet data exchange protocols-based technologies (such as TCP/IP). On the other hand, CPS would correspond to the vertical connectivity and synchronization between objects and their cyber representation, performed thanks to cloud and sensors-based technologies [6,11,32,41,42] (Figure 1). [11]).…”

Human and Social Dimensions in CPS & IoT based Automated Production Systems

“…In the one hand, IoT would correspond to the horizontal connectivity and synchronization between physical or cyber objects, performed thanks to Internet data exchange protocols-based technologies (such as TCP/IP). On the other hand, CPS would correspond to the vertical connectivity and synchronization between objects and their cyber representation, performed thanks to cloud and sensors-based technologies [24,25,63,64,67] (Fig. 1).…”

“…: CPS) integrates several features, like human perception, sensing, haptic interaction, or communication. When people interact with robots and other CPS it must exist some degree of awareness of the human in the loop, in terms of sensing abilities and/or interfaces and abilities of the technical system to interact and communicate with people [33,62,63].…”

“…CPSS being supported by the addition of physiological, psychological, social, and mental spaces to those of cyber and physical spaces [45,46,63] (Fig. 10).…”

Robust Distributed Collaborative Beamforming for Wireless Sensor Networks with Channel Estimation Impairments

“…Collaborative beamforming (CB) stands out today as a key technique that offers tremendous capacity, coverage, and power gains [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ]. Using CB, K autonomous and independent sensor nodes relay the information from a desired source to a target destination through a two-hop communication link by estimating then transmitting weighted replicas of the desired signal in the first and second time slots, respectively.…”