A crowdsourced WiFi sensing system with an endorsement network in smart cities

Fang Jing Wu, Tie Luo, Jason Cheah Jia Liang

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

10 Scopus citations

Abstract

As crowd-centric applications have attracted a lot of attention, this work exploits the crowdsourcing technologies to collect and share user experience of WiFi hotspots in an urban area. To address the trust issue, we incorporate an endorsement network into the system, where users can endorse others based on the reviews submitted by themselves. With the incentive endorsement network, our system can quantify the trustworthiness of data publishers to make the system more trustful. We have implemented our design as a mobile application for mobile devices to demonstrate how our system guides people to connect to WiFi hotspots and how the endorsement network works with the crowdsourced WiFi sensing system.

Original languageEnglish
Title of host publication2015 IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015
ISBN (Electronic)9781479980550
DOIs
StatePublished - May 13 2015
Event10th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015 - Singapore, Singapore
Duration: Apr 7 2015Apr 9 2015

Publication series

Name2015 IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015

Conference

Conference10th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015
Country/TerritorySingapore
CitySingapore
Period4/7/154/9/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Crowdsourcing
  • mobile sensing
  • participatory sensing
  • pervasive computing
  • smart cities

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Information Systems

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