TY - GEN
T1 - Ensuring high-quality data collection for mobile crowd sensing
AU - Gao, Hui
AU - Liu, Chi Harold
AU - Tian, Ye
AU - Xi, Teng
AU - Wang, Wendong
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/10
Y1 - 2017/5/10
N2 - Mobile Crowd sensing is a new paradigm that encourages ordinary people to collect and share sensing data with their smart devices. However, the uncontrollable data quality is one of the critical problems that is potentially harmful to guarantee the availability and preciseness of mobile crowd sensing based services. In this paper, we propose a quality aware data collection mechanism based on a realistic scenario where participants arrive and report their conditions sequentially one by one. When a participant arrives, the mechanism first forecasts the amount of high quality data he/she may contribute by employing the expectation of Binomial-Poisson distribution, and then a two-level iterative algorithm is employed to calculate its parametric values. After, our designed mechanism decides to select the participant or not by combining with his/her requested reward. Extensive simulation results well justify the effectiveness and robustness of our approach, compared with another schemes.
AB - Mobile Crowd sensing is a new paradigm that encourages ordinary people to collect and share sensing data with their smart devices. However, the uncontrollable data quality is one of the critical problems that is potentially harmful to guarantee the availability and preciseness of mobile crowd sensing based services. In this paper, we propose a quality aware data collection mechanism based on a realistic scenario where participants arrive and report their conditions sequentially one by one. When a participant arrives, the mechanism first forecasts the amount of high quality data he/she may contribute by employing the expectation of Binomial-Poisson distribution, and then a two-level iterative algorithm is employed to calculate its parametric values. After, our designed mechanism decides to select the participant or not by combining with his/her requested reward. Extensive simulation results well justify the effectiveness and robustness of our approach, compared with another schemes.
UR - https://www.scopus.com/pages/publications/85020107332
U2 - 10.1109/WCNC.2017.7925926
DO - 10.1109/WCNC.2017.7925926
M3 - Conference contribution
AN - SCOPUS:85020107332
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
Y2 - 19 March 2017 through 22 March 2017
ER -