TY - GEN
T1 - Squadron
T2 - 21st International Conference on Information Fusion, FUSION 2018
AU - Jin, Haiming
AU - Guo, Hongpeng
AU - Nahrstedt, Klara
N1 - Publisher Copyright:
© 2018 ISIF
PY - 2018/9/5
Y1 - 2018/9/5
N2 - Recent years have witnessed the success of mobile crowd sensing systems, which outsource sensory data collection to the public crowd equipped with various mobile devices in a wide spectrum of civilian applications. We envision that crowd sensing could as well be very useful in a whole host of mission-driven scenarios, such as peacekeeping operations, non-combatant evacuations, and humanitarian missions. However, the power of crowd sensing could not be fully unleashed in mission-driven crowd sensing (MiCS) systems, unless workers are effectively incentivized to participate. Therefore, in this paper, taking into consideration workers' diverse quality of information (QoI), we propose Squadron, a quality-aware incentive mechanism for MiCS systems. Squadron adopts the reverse auction framework. It approximately minimizes the platform's total payment for worker recruiting in a computationally efficient manner, and recruits workers who potentially could provide high quality data. Furthermore, it also satisfies the desirable properties of truth-fulness and individual rationality. Through rigorous theoretical analysis, as well as extensive simulations, we validate the various aforementioned desirable properties held by Squadron.
AB - Recent years have witnessed the success of mobile crowd sensing systems, which outsource sensory data collection to the public crowd equipped with various mobile devices in a wide spectrum of civilian applications. We envision that crowd sensing could as well be very useful in a whole host of mission-driven scenarios, such as peacekeeping operations, non-combatant evacuations, and humanitarian missions. However, the power of crowd sensing could not be fully unleashed in mission-driven crowd sensing (MiCS) systems, unless workers are effectively incentivized to participate. Therefore, in this paper, taking into consideration workers' diverse quality of information (QoI), we propose Squadron, a quality-aware incentive mechanism for MiCS systems. Squadron adopts the reverse auction framework. It approximately minimizes the platform's total payment for worker recruiting in a computationally efficient manner, and recruits workers who potentially could provide high quality data. Furthermore, it also satisfies the desirable properties of truth-fulness and individual rationality. Through rigorous theoretical analysis, as well as extensive simulations, we validate the various aforementioned desirable properties held by Squadron.
KW - incentive mechanism
KW - mission-driven crowd sensing
KW - quality of information
UR - http://www.scopus.com/inward/record.url?scp=85054088774&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054088774&partnerID=8YFLogxK
U2 - 10.23919/ICIF.2018.8455374
DO - 10.23919/ICIF.2018.8455374
M3 - Conference contribution
AN - SCOPUS:85054088774
SN - 9780996452762
T3 - 2018 21st International Conference on Information Fusion, FUSION 2018
SP - 2306
EP - 2313
BT - 2018 21st International Conference on Information Fusion, FUSION 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 July 2018 through 13 July 2018
ER -