International Conference on Collaborative Computing: Networking, Applications and Worksharing

Collaborative Computing: Networking, Applications, and Worksharing pp 183-194 | Cite as

On Participant Selection for Minimum Cost Participatory Urban Sensing with Guaranteed Quality of Information

  • Hong Yao
  • Changkai Zhang
  • Chao Liu
  • Qingzhong Liang
  • Xuesong Yan
  • Chengyu Hu
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 163)

Abstract

Exploring vehicles to conduct participatory urban sensing has become an economic and efficient sensing paradigm to pursue the smart city vision. Intuitively, having more vehicles participate in one sensing task, higher quality-of-information (QoI) can be achieved. However, more participation also implies a higher sensing cost, which include the cost pay to participated vehicles and 3G traffic cost. This paper introduces an interesting problem on how to select an appropriate set of vehicles to minimize the sensing cost while guaranteeing the required QoI. In this paper, we define a new QoI metric called coverage ratio satisfaction (CRS) with the consideration of coverage from both temporary and spatial aspects. Based on the CRS definition, we formulate the minimum cost CRS guaranteeing problem as an integer linear problem and propose a participant selection strategy called Vehicles Participant Selection (VPS). The high efficiency of VPS is extensively validated by real trace based experiments.

Keywords

Vehicular sensor network Quality-of-Information Coverage Ratio Satisfaction Vehicles Participant Selection 

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Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016

Authors and Affiliations

  • Hong Yao
    • 1
  • Changkai Zhang
    • 1
  • Chao Liu
    • 1
  • Qingzhong Liang
    • 1
  • Xuesong Yan
    • 1
  • Chengyu Hu
    • 1
  1. 1.School of Computer Science and TechnologyChina University of GeosciencesWuhanChina

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