Towards Reliable Social Sensing in Cyber-Physical-Social Systems

Huang, Chao; Marshall, Jermaine; Wang, Dong; Dong, Mianxiong

doi:10.1109/ipdpsw.2016.132

Cited by 15 publications

(6 citation statements)

References 28 publications

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“…A common understanding, shared by most of the works in the literature or constituting at least a common ground, is that CPSS is a system comprising three intertwining subsystems (i) The human-based system which refers to the social system containing human actors and their interconnected devices/agents and/or social platforms providing human-based services, (ii) The software-based system that refers to the cyber world providing software-based services including the underlying infrastructures and platforms, either on-premise or in the Cloud and (iii) The thing-based systems referring to the physical world that includes sensors, actuators, gateways and the underlying infrastructures [1,3,7,[9][10][11][12][13].…”

Section: State-of-the-artmentioning

confidence: 99%

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Introduction to Personalisation in Cyber-Physical-Social Systems

Yilma

Naudet

Panetto

2019

On the Move to Meaningful Internet Systems: OTM 2018 Workshops

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In this paper we introduce the notion of personalisation in Cyber-Physical-Social Systems (CPSS). A CPSS is an extension of Cyber-Physical systems involving cyberspace and physical space, in which humans, machines and objects interact adding to the complexity of the system, especially due to the dynamics of human behaviour that is not yet fully understood. We propose Personalisation to address this complexity. Since the development of CPSS is still at its infancy, we first cover a brief overview on the existing conceptualizations of CPSS and present the perspective we take for our work. Then we discuss the benefits of introducing Personalisation in CPSS and formalize the notion. The discussion further illustrates research challenges for Personalisation in CPSS with examples on possible use cases, taken from preceding works as well as future ones.

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Section: State-of-the-artmentioning

confidence: 99%

“…1. Human as a sensor : [5][6][7]13] conceptualize the social aspect by considering humans as information sources, i.e. sensors.…”

Section: State-of-the-artmentioning

confidence: 99%

Introduction to Personalisation in Cyber-Physical-Social Systems

Yilma

Naudet

Panetto

2019

On the Move to Meaningful Internet Systems: OTM 2018 Workshops

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“…On the other hand, with the extensive penetration and integration of personalized mobile devices (e.g., wearable devices, smartphones) in people’s daily lives, people have become the most sensitive social sensors. Therefore, sensing people’s social information has become a new paradigm of cyber physical social system-related applications, called cyber physical social sensing (CPSS) [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments

Jia

Zhou

Chen

et al. 2017

Sensors

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Tracking people’s behaviors is a main category of cyber physical social sensing (CPSS)-related people-centric applications. Most tracking methods utilize camera networks or sensors built into mobile devices such as global positioning system (GPS) and Bluetooth. In this article, we propose a non-intrusive wireless fidelity (Wi-Fi)-based tracking method. To show the feasibility, we target tracking people’s access behaviors in Wi-Fi networks, which has drawn a lot of interest from the academy and industry recently. Existing methods used for acquiring access traces either provide very limited visibility into media access control (MAC)-level transmission dynamics or sometimes are inflexible and costly. In this article, we present a passive CPSS system operating in a non-intrusive, flexible, and simplified manner to overcome above limitations. We have implemented the prototype on the off-the-shelf personal computer, and performed real-world deployment experiments. The experimental results show that the method is feasible, and people’s access behaviors can be correctly tracked within a one-second delay.

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“…However, some variables (such as scalability) are not easily evaluable using these techniques and/or imply a huge cost. Thus, papers consisting of an exhaustive evaluation of algorithms for CPSS or other similar proposals usually include the design and implementation of a CPSS co-simulator [ 34 , 35 ]. A commercial co-simulator may require several months or years before it can be released, however, many times, CPSS researchers need to design and built and ad-hoc co-simulator in order to evaluate the performance of their proposals.…”

Section: Introductionmentioning

confidence: 99%

A Methodology for the Design of Application-Specific Cyber-Physical Social Sensing Co-Simulators

Bordel

Sánchez-Picot

2017

Sensors

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Cyber-Physical Social Sensing (CPSS) is a new trend in the context of pervasive sensing. In these new systems, various domains coexist in time, evolve together and influence each other. Thus, application-specific tools are necessary for specifying and validating designs and simulating systems. However, nowadays, different tools are employed to simulate each domain independently. Mainly, the cause of the lack of co-simulation instruments to simulate all domains together is the extreme difficulty of combining and synchronizing various tools. In order to reduce that difficulty, an adequate architecture for the final co-simulator must be selected. Therefore, in this paper the authors investigate and propose a methodology for the design of CPSS co-simulation tools. The paper describes the four steps that software architects should follow in order to design the most adequate co-simulator for a certain application, considering the final users’ needs and requirements and various additional factors such as the development team’s experience. Moreover, the first practical use case of the proposed methodology is provided. An experimental validation is also included in order to evaluate the performing of the proposed co-simulator and to determine the correctness of the proposal.

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Towards Reliable Social Sensing in Cyber-Physical-Social Systems

Cited by 15 publications

References 28 publications

Introduction to Personalisation in Cyber-Physical-Social Systems

Introduction to Personalisation in Cyber-Physical-Social Systems

A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments

A Methodology for the Design of Application-Specific Cyber-Physical Social Sensing Co-Simulators

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