A Crowdsourced WiFi Sensing System with an Endorsement Network in Smart Cities
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.
Recommended Citation
F. Wu et al., "A Crowdsourced WiFi Sensing System with an Endorsement Network in Smart Cities," Proceedings of the 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (2015, Singapore), Institute of Electrical and Electronics Engineers (IEEE), Apr 2015.
The definitive version is available at https://doi.org/10.1109/ISSNIP.2015.7106968
Meeting Name
10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015 (2015: Apr. 7-9, Singapore)
Department(s)
Computer Science
Keywords and Phrases
Crowdsourcing; mobile sensing; participatory sensing; pervasive computing; smart cities
International Standard Book Number (ISBN)
978-147998055-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Apr 2015
