From participatory sensing to Mobile Crowd Sensing

Bin Guo; Zhiwen Yu; Xingshe Zhou; Daqing Zhang

doi:10.1109/PerComW.2014.6815273

From participatory sensing to Mobile Crowd Sensing

Bin Guo
, Zhiwen Yu
, Xingshe Zhou
, Daqing Zhang

Northwestern Polytechnical University

Résultats de recherche: Contribution à une conférence › Papier › Revue par des pairs

Résumé

The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves both implicit and explicit participation; (2) MCS collects data from two user-participant data sources: mobile social networks and mobile sensing. This paper presents the literary history of MCS and its unique issues. A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. Finally, we discuss the future research trends as well as our efforts to MCS.

langue originale	Anglais
Pages	593-598
Nombre de pages	6
Les DOIs	https://doi.org/10.1109/PerComW.2014.6815273
état	Publié - 1 janv. 2014
Evénement	2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 - Budapest, Hongrie Durée: 24 mars 2014 → 28 mars 2014

Une conférence

Une conférence	2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014
Pays/Territoire	Hongrie
La ville	Budapest
période	24/03/14 → 28/03/14

Accès au document

10.1109/PerComW.2014.6815273

Contient cette citation

@conference{d528fb3aa432451ba12639db9ce31ba8,

title = "From participatory sensing to Mobile Crowd Sensing",

abstract = "The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves both implicit and explicit participation; (2) MCS collects data from two user-participant data sources: mobile social networks and mobile sensing. This paper presents the literary history of MCS and its unique issues. A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. Finally, we discuss the future research trends as well as our efforts to MCS.",

keywords = "Hybrid human-machine intelligence, heterogeneous/cross-space data, mobile crowd sensing, participatory sensing",

author = "Bin Guo and Zhiwen Yu and Xingshe Zhou and Daqing Zhang",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/PerComW.2014.6815273",

language = "English",

pages = "593--598",

note = "2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 ; Conference date: 24-03-2014 Through 28-03-2014",

}

TY - CONF

T1 - From participatory sensing to Mobile Crowd Sensing

AU - Guo, Bin

AU - Yu, Zhiwen

AU - Zhou, Xingshe

AU - Zhang, Daqing

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves both implicit and explicit participation; (2) MCS collects data from two user-participant data sources: mobile social networks and mobile sensing. This paper presents the literary history of MCS and its unique issues. A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. Finally, we discuss the future research trends as well as our efforts to MCS.

AB - The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves both implicit and explicit participation; (2) MCS collects data from two user-participant data sources: mobile social networks and mobile sensing. This paper presents the literary history of MCS and its unique issues. A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. Finally, we discuss the future research trends as well as our efforts to MCS.

KW - Hybrid human-machine intelligence

KW - heterogeneous/cross-space data

KW - mobile crowd sensing

KW - participatory sensing

U2 - 10.1109/PerComW.2014.6815273

DO - 10.1109/PerComW.2014.6815273

M3 - Paper

AN - SCOPUS:84901303835

SP - 593

EP - 598

T2 - 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014

Y2 - 24 March 2014 through 28 March 2014

ER -

From participatory sensing to Mobile Crowd Sensing

Résumé

Une conférence

Accès au document

Empreinte digitale

Contient cette citation