Quantifying user reputation scores, data trustworthiness, and user incentives in mobile crowd-sensing

IEEE Access

Volumn 5, Issue , 2017, Pages 1382-1397

  Pouryazdan, Maryam ^a   Kantarci, Burak ^b,c   Soyata, Tolga ^a   Foschini, Luca ^d   Song, Houbing ^e  

^a Wallace H Coulter School of Engineering   (United States)

^b UNIVERSITY OF OTTAWA   (Canada)

^c State University of New York   (United States)

^d UNIVERSITY OF BOLOGNA   (Italy)

^e West Virginia University   (United States)

Author keywords

Auction theory; Collaborative sensing; Data trustworthiness; Mobile crowd sensing (MCS); Reputation score; Reputation systems; Smart city; Social network theory; Statistical methods; User incentives

Indexed keywords

MOBILE TELECOMMUNICATION SYSTEMS; SMART CITY; SOCIAL NETWORKING (ONLINE); STATISTICAL METHODS;

AUCTION THEORY; COLLABORATIVE SENSING; DATA TRUSTWORTHINESS; MOBILE CROWD-SENSING (MCS); REPUTATION SCORE; REPUTATION SYSTEMS; USER INCENTIVES;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 85015736059     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2017.2660461     Document Type: Article

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