Moving centroid based routing protocol for incompletely predictable cyber devices in Cyber-Physical-Social Distributed Systems

Shen, Jian; Wang, Chen; Liu, Qi; Xiang, Yang

doi:10.1016/j.future.2017.10.024

Cited by 10 publications

(30 citation statements)

References 29 publications

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“…Therefore, some novel methods are proposed to solve the emerging problems in CPSS. For example, a moving centroid based routing protocol is presented to deal with the incompletely predictable cyber devices in cyber-physical-social distributed systems [6]. In [7], the authors studied a fusion scheme of cellular network and wireless sensor for CPSS.…”

Section: Related Workmentioning

confidence: 99%

“…The CPSS as a novel paradigm enables the deep interaction of social space and CPS or Internet of Things (IoT), which brings significant changes for improving the service and management of complex physical systems. Architectures, methods and schemes of CPSS for different application areas have been proposed [1,2,3,4,5,6,7,8,9]. The wireless sensor network (WSN) as the sensing network is one of the most important parts.…”

Section: Introductionmentioning

confidence: 99%

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

Bao

Liang

Han

2018

Sensors

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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.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Bao

Liang

Han

2018

Sensors

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“…Some interfaces are available to optimize these systems for human use. The most popular real world examples of CPSs are smartphones [13]. Smartphones connect the real world to the virtual via sensors such as the geolocation sensors, Internet, telephone, and wireless interfaces.…”

Section: Introductionmentioning

confidence: 99%

Hotspots Analysis Using Cyber-Physical-Social System for a Smart City

Amin

Choi

2020

IEEE Access

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Internet of things plays a vital role in providing various services to users. Significant volumes of data are generated from the communication between a large numbers of heterogeneous devices over the Internet. Big data technology is generally used to handle the large volume of data. Complex networks are graphs (networks) having non-trivial topological features, such as random graphs and lattices. Big data of complex networks concerns big data methods that can be used to analyze massive structural data sets, including considerably large networks and sets of graphs. This study is based on the critical phenomenon arising in complex networks that enable us to analytically predict the hotspots in smart cities. Hotspots are places with significantly high communication traffic relative to others. In this study, we propose a cyber-physical-social system for the analysis of high communication traffic hotspots using telecom data. The proposed model constructs a graph, and perform social network analysis on it. The process of hotspot extraction is performed, followed by social network analysis, which is conducted by quantifying the importance of each hotspot based on network metrics. These metrics aid in determining the importance of each hotspot in a telecom data network. Our objective is to prioritize different areas and detect hotspots quickly. Our results indicate that the proposed model has an efficiency comparable with that of state of the art methods. This research study will be helpful for urban planning and development, as well as in upgrading telecommunication infrastructure.

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“…Many research studies have explored the security problems in smart systems, such as access control, key agreement and data upload smart systems contain many network technology problems to be solved [8][9][10][32][33][34][35]. The technical requirements of a smart system involve many aspects, especially proposing novel network security schemes [11][12][13][14][15]. RFID tag consist special cipher code, ciphers are very popular due to more significant features such as high speed, can be implemented easily in hardware, have limited propagation errors and are particularly suitable for all environments where alphabet symbols are processed on RFID tag [16,[18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of RFID Authentication Protocol based on Simple Symmetric Key (SSK) algorithm

Kuppuswamy,

M A Y,

Raju

2020

IJRTE

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RFID uses radio frequency waves to transfer data using components such as tag, the reader and back-end server for device identification. Radio Frequency Identification technology (RFID) providing unique identification and tracking any device that has a tag attached to safeguard the products and protect from unauthorized users. There are many kinds of protocols to resolve these problems have been researched. Though, the security, cost, time and task of RFID are accountable to identify the feasible authentication protocol according to the business environment. In this research article, we proposed new authentication protocol as a method to protect privacy, especially for affordable cost and functionalities and have limited power consumption, memory and effective security process. The proposed protocol called as simple symmetric key (SSK) algorithm using random integers based on modulo 37. The proposed authentication protocol is secure against spoofing and replay attack and also it is suitable to support distributed database environment.

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Moving centroid based routing protocol for incompletely predictable cyber devices in Cyber-Physical-Social Distributed Systems

Cited by 10 publications

References 29 publications

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

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

Hotspots Analysis Using Cyber-Physical-Social System for a Smart City

Design and Implementation of RFID Authentication Protocol based on Simple Symmetric Key (SSK) algorithm

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