Incentive-Aware Time-Sensitive Data Collection in Mobile Opportunistic Crowdsensing

Yufeng Zhan, Yuanqing Xia*, Yang Liu, Fan Li, Yu Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

58 Citations (Scopus)

Abstract

Data collection is a crucial operation in mobile opportunistic crowdsensing. The design of data collection is challenging due to the fact that smart devices have limited resources to conduct complex computation and sensing tasks in mobile opportunistic networks. In this paper, we propose a time-sensitive incentive-aware mechanism for mobile opportunistic crowdsensing data collection, in which each sensing data has an attached time-sensitive value that decays over time. We focus on the cooperative data collection problem in mobile opportunistic crowdsensing, where data collectors cooperate with mobile users to send data back to requesters. However, due to the selfishness of mobile users, we use an incentive mechanism to stimulate the mobile users to participate in the data collection. The objective is to maximize data collectors' and mobile relay users' rewards. We formulate the interaction among data carrier and mobile relay users as a two-user cooperative game, we apply the asymmetric Nash bargain solution to obtain the optimal cooperation decision and transfer payment. Extensive simulation results based on the real-world traces are provided to validate the superiority of our proposed schemes.

Original languageEnglish
Article number7895131
Pages (from-to)7849-7861
Number of pages13
JournalIEEE Transactions on Vehicular Technology
Volume66
Issue number9
DOIs
Publication statusPublished - Sept 2017

Keywords

  • Incentive-aware mechanism
  • Nash bargaining solution (NBS)
  • mobile crowdsensing
  • time-sensitive utility

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