File(s) under permanent embargo
Maximizing aata credibility under budget constraint for participatory sensing
presentation
posted on 2023-06-26, 07:14 authored by Hui Gao, Chi Harold Liu, Wendong Wang, Zhengguo ShengZhengguo Sheng, Alvin Chin, Ye TianParticipatory sensing campaigns encourage ordinary people to collect and share sensing data by using their portable smart devices like smartphones, iPad and iWatch. However, compared with static sensors that are deployed in the particular places by people that can provide high-quality data, the quality of sensing data that are collected from smart devices is uncontrollable, and it is costly to pay data usage without knowing the credibility of the collected data. In this paper, we propose to leverage the participant’s reputation to maximize total data credibility under budget constraint for participatory sensing systems. Specifically, we formally define a maximum sensing data credibility problem and present a trustable participants selection algorithm to obtain a near optimal solution. Provided the real data set, it has been shown by simulation results that our proposed algorithm selects more credible sensing data than that of the other two comparison algorithms.
History
Publication status
- Published
File Version
- Accepted version
Page range
134-139Presentation Type
- paper
Event name
2015 IEEE 17th International Conference on High Performance Computing and Communications (HPCC)Event location
New York, USAEvent type
conferenceEvent date
24-26 August 2015Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2015-10-06First Compliant Deposit (FCD) Date
2015-10-06Usage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC