Understanding the Emergence and Importance of Blockchain-based Cyber-physical Social Machines: A Proposal

Sathiyanarayanan, Mithileysh; Sokkanarayanan, Sumathi

doi:10.1109/ic3i46837.2019.9055513

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…Handling the complex interactions between the human, cyber, and physical domains (Lee et al, 2019;Sathiyanarayanan and Sokkanarayanan 2019;Rashid et al, 2019cRashid et al, , 2020a • How to develop a closed-loop system that seamlessly integrates social and physical sensors? Characterizing the dependencies between sources and correlating the collected data (Dey et al, 2018;Asim et al, 2019;Ahn and Park 2011;Giridhar et al, 2016;Tsapeli et al, 2017;Rashid et al, 2019b) • How to model source dependency and data provenance, given the diverse source dependency nature of social and physical sensing?…”

Section: Data Collection Challengementioning

confidence: 99%

“…Such an adaptive closedloop system requires a careful design that systematically models the complex HCP interactions. Current literature has proposed methods to develop closed-loop systems encompassing various sensors (e.g., cameras, GPS sensors), actuators (e.g., robotic arms, motorized doors), and controllers (e.g., proportional-integralderivative (PID) controllers, fuzzy logic controllers, and reinforcement learning) for establishing effective cooperation between them using techniques such as linear quadratic Gaussian (LQG) control (Lee et al, 2019), supply chain theory , and blockchain-based smart contracts (Sathiyanarayanan and Sokkanarayanan 2019). However, the closed-loop challenge at the intersection of human, cyber, and physical spaces in SPS has not been fully addressed by existing research for several reasons.…”

Section: Human-cyber-physical Interactions Challengementioning

confidence: 99%

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A survey on social-physical sensing: An emerging sensing paradigm that explores the collective intelligence of humans and machines

Rashid

Wei

Wang

2023

Collective Intelligence

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Propelled by the omnipresence of versatile data capture, communication, and computing technologies, physical sensing has revolutionized the avenue for decisively interpreting the real world. However, various limitations hinder physical sensing’s effectiveness in critical scenarios such as disaster response and urban anomaly detection. Meanwhile, social sensing is contriving as a pervasive sensing paradigm leveraging observations from human participants equipped with portable devices and ubiquitous Internet connectivity to perceive the environment. Despite its virtues, social sensing also inherently suffers from a few drawbacks (e.g., inconsistent reliability and uncertain data provenance). Motivated by the complementary strengths of the two sensing modes, social-physical sensing (SPS) is protruding as an emerging sensing paradigm that explores the collective intelligence of humans and machines to reconstruct the “state of the world,” both physically and socially. While a good number of interesting SPS applications have been studied, several critical unsolved challenges still exist in SPS. In this paper, we provide a comprehensive survey of SPS, emphasizing its definition, key enablers, state-of-the-art applications, potential research challenges, and roadmap for future work. This paper intends to bridge the knowledge gap of existing sensing-focused survey papers by thoroughly examining the various aspects of SPS crucial for building potent SPS systems.

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Section: Data Collection Challengementioning

confidence: 99%

Section: Human-cyber-physical Interactions Challengementioning

confidence: 99%

A survey on social-physical sensing: An emerging sensing paradigm that explores the collective intelligence of humans and machines

Rashid

Wei

Wang

2023

Collective Intelligence

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“…Figure 15: Example of human's role as actuators in SPS Current literature has proposed methods to develop closedloop systems encompassing various sensors (e.g., cameras, GPS sensors), actuators (e.g., robotic arms, motorized doors), and controllers (e.g., proportional-integral-derivative (PID) controller, fuzzy logic controllers, reinforcement learning) for establishing effective cooperation between them using techniques such as linear quadratic Gaussian (LQG) control [180], supply chain theory [181], and blockchain-based smart contracts [182]. However, the closed-loop challenge at the intersection of human, cyber, and physical spaces in SPS has not been fully addressed by existing research due to several reasons.…”

Section: B Human-cyber-physical Interactions Challengementioning

confidence: 99%

“…• How to gain access to sensing data from privately-owned devices? Human-Cyber-Physical Interactions Challenge Handling the complex interactions between the human, cyber, and physical domains [87], [128], [180]- [182], [222] • How to develop a closed-loop system that seamlessly integrates social and physical sensors? • How to explicitly model the roles of human participants as actuators?…”

Section: A Uncertainty Quantification In Spsmentioning

confidence: 99%

A Survey on Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and Machine

Rashid¹,

Wei²,

Wang³

2021

Preprint

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Propelled by the omnipresence of versatile data capture, communication, and computing technologies, physical sensing has revolutionized the avenue for spontaneously capturing and interpreting the real-world phenomenon. Despite its virtues, various limitations (e.g., high application specificity, partial autonomy, and sparse coverage) hinder physical sensing's effectiveness in critical scenarios such as disaster response and urban anomaly detection. Meanwhile, social sensing is contriving as a pervasive sensing paradigm that leverages the observations from human participants equipped with portable devices and ubiquitous Internet connectivity (i.e., through social media or crowdsensing apps) to perceive the occurrences in the environment. While social sensing possesses a plethora of benefits, it also inherently suffers from a few drawbacks (e.g., inconsistent reliability, uncertain data provenance, and limited sensing availability). Motivated by the complementary virtues of both physical and social sensing, social-physical sensing (SPS) is protruding as an emerging sensing paradigm that tightly integrates the social and physical sensors at an unprecedented scale. The vision of SPS centers on mitigating the individual weaknesses of physical and social sensing while exploiting their collective strengths in reconstructing the "state of the world", both physically and socially. While a good amount of interesting SPS applications has been explored, several important unsolved challenges and open research questions prevail in the way of developing innovative and practical SPS systems, which require careful scrutiny and research to address. In this paper, we provide a comprehensive survey of SPS, with an emphasis on its definition and key enablers, state-of-the-art applications, potential research challenges, and the road-map for future work. While existing survey papers related to sensing have discussed sensing schemes that are partly related to SPS, they do not explicitly provide an extensive overview of the SPS paradigm or the state-of-the-art SPS schemes. This paper intends to bridge this knowledge gap by thoroughly examining the various aspects of SPS crucial for building potent SPS systems.

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Hierarchical Design and Execution of Smart Contracts in Blockchain

Srinivasan

Sundar

Immanuel

et al. 2020

2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)

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Understanding the Emergence and Importance of Blockchain-based Cyber-physical Social Machines: A Proposal

Cited by 4 publications

References 27 publications

A survey on social-physical sensing: An emerging sensing paradigm that explores the collective intelligence of humans and machines

A survey on social-physical sensing: An emerging sensing paradigm that explores the collective intelligence of humans and machines

A Survey on Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and Machine

Hierarchical Design and Execution of Smart Contracts in Blockchain

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