Impact of Incentive Mechanism in Participatory Sensing Environment

نویسندگان

  • Niwat Thepvilojanapong
  • Tomoya Tsujimori
  • Hao Wang
  • Yoshikatsu Ohta
  • Yunlong Zhao
  • Yoshito Tobe
چکیده

Nowadays, the number of smartphone users is growing rapidly. Recent smartphones equipped with several sensors are convenient apps for collecting information in participatory sensing environment. However, contributing sensing data requires time and monetary cost, which hinder many people from participation. To realize active and efficient sensing activities, incentive mechanism is indispensable. This paper proposes SenseUtil, utility-based incentive for participatory sensing. SenseUtil applies the concept of micro economics, where demand and supply decide the value of sensed data. The incentive dynamically changes along the time according to several factors such as sensing frequency, nearby sensing points and users’ preference. To study the impact of incentive mechanism, we conducted simulation study. The results show that people actively participate in sensing tasks while keeping additional cost fewer than three percent in comparison with non-incentive scenarios. Keywords-participatory sensing; incentive; utility functions; phone sensing; SenseUtil; simulation.

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تاریخ انتشار 2013