Evaluating Trust-Based Fusion Models for Participatory Sensing Applications

被引：0

作者：

Davami, Erfan ^{[1
]}

Sukthankar, Gita ^{[1
]}

机构：

[1] Univ Cent Florida, Dept EECS, Orlando, FL 32816 USA

来源：

AAMAS'14: PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS | 2014年

关键词：

participatory sensing; crowdsourcing; trust-based fusion;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1377 / 1378

页数：2

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