Incentivizing Opportunistic Data Collection for Time-Sensitive IoT Applications

Pranvera Kortoçi, Abbas Mehrabi, Carlee Joe-Wong, Mario Di Francesco

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)
34 Downloads (Pure)


Urban environments are the most prevalent application scenario for the Internet of Things (IoT). In this context, effective data collection and forwarding to a cloud (or edge) server are particularly important. This work leverages opportunistic data collection based on the mobile crowd sourcing (MCS) paradigm for time-sensitive IoT applications. Specifically, it introduces an incentive mechanism for the crowd to collect data that are valuable to data consumers in terms of regions of interest and time constraints. The proposed approach successfully incorporates the willingness of the crowd to participate in the data collection as part of the related incentives. It also ensures collection of valuable data via selective user incentivization. Accordingly, a weighted social welfare maximization problem is defined for users to decide which sensors to visit subject to deadline constraints. Following the NP-hardness of the problem, an online heuristic algorithm is proposed for sensors to dynamically incentivize mobile users with a low message and time complexity. The proposed solution is shown to be effective for time-sensitive quality data collection through extensive simulations on realistic mobility traces. It significantly increases the overall social welfare as well as the amount of collected data compared to other approaches.

Original languageEnglish
Title of host publication2021 18th IEEE International Conference on Sensing, Communication and Networking, SECON 2021
PublisherIEEE Computer Society
Number of pages9
ISBN (Electronic)9781665441087
Publication statusPublished - 6 Jul 2021
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Sensing, Communication and Networking - Virtual, Online
Duration: 6 Jul 20219 Jul 2021

Publication series

NameAnnual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
ISSN (Print)2155-5486
ISSN (Electronic)2155-5494


ConferenceIEEE International Conference on Sensing, Communication and Networking
Abbreviated titleSECON
CityVirtual, Online


  • data utility
  • Incentives
  • IoT
  • mobile crowd sourcing
  • opportunistic data collection


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