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Sensors 2018, 18(12), 4300; https://doi.org/10.3390/s18124300

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

1,2,* , 2,* and 3
1
Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang 330099, China
2
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
3
School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China
*
Authors to whom correspondence should be addressed.
Received: 29 September 2018 / Revised: 28 November 2018 / Accepted: 30 November 2018 / Published: 6 December 2018
(This article belongs to the Special Issue Exploiting the IoT within Cyber Physical Social System)
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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. View Full-Text
Keywords: collaborative beamforming; cyber-physical-social system; social sensor nodes; wireless sensor network collaborative beamforming; cyber-physical-social system; social sensor nodes; wireless sensor network
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Bao, X.; Liang, H.; Han, L. Transmission Optimization of Social and Physical Sensor Nodes via Collaborative Beamforming in Cyber-Physical-Social Systems. Sensors 2018, 18, 4300.

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