Title

Evaluating Trust-Based Fusion Models For Participatory Sensing Applications

Keywords

Crowdsourcing; Participatory sensing; Trust-based fusion

Abstract

Participatory sensing is a specialized form of crowdsourcing for mobile devices in which the users act as sensors to report on local environmental conditions, such as traffic, pollution, and wireless signal strength. This computing framework has great promise as a tool for urban planners, but deploying new applications is a challenge since the overall performance can be sensitive to the specific user population. This paper describes the process of prototyping a mobile phone crowdsourcing app for monitoring parking availability on a large university campus.

Publication Date

1-1-2014

Publication Title

13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014

Volume

2

Number of Pages

1377-1378

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84911360519 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84911360519

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