Vehicle dispatching for sensing coverage optimization in mobile crowdsensing systems
Susu Xu, Xinlei Chen, Xidong Pi, Carlee Joe‐Wong, Pei Zhang, Hae Young Noh · 2019
Mobile crowd sensing (MCS) collects city-scale sensing data with low cost and high efficiency. One important goal of MCS is to ensure high quality of sensing coverage to provide sufficient information to data analysis end. However, the goal of the MCS may be inconsistent with the goal of vehicles. This inconsistency between goals results in a bad sensing coverage and decreases the quality of the collected information. Key challenges to resolve this inconsistency include the heterogeneous target desired spatio-temporal distributions, limited budget constraining the ability to incentivize more taxis, and high computational complexity.