Collaborative sensing: Delivering an intelligent and adaptive sensing infrastructure

O’Hare, Gregory M. P.; Carr, Dominic; O’Grady, Michael J.

doi:10.1109/cscwd.2015.7230926

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…In this survey paper, we explore the existing literature on SPS, emphasizing the enabling technologies behind SPS, state-of-the-art SPS applications, recurring challenges in SPS, and opportunities for future research in this emerging domain. Several recent papers on collaborative sensing, such as (Chen et al, 2016; O’Hare et al, 2015) present schemes that embody human discretion alongside physical sensing, exemplifying the principle of human-in-the-loop (e.g., assigning dedicated human agents to fine-tune the data captured by physical sensors). By definition, collaborative sensing leverages the cooperation of different sensors to complete large-scale sensing tasks (Yi et al, 2018).…”

Section: Introductionmentioning

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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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: Introductionmentioning

confidence: 99%