Multi-criteria IoT Resource Discovery: A Comparative Analysis
- Submitting institution
-
University of Derby
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 787028-2
- Type
- D - Journal article
- DOI
-
10.1002/spe.2469
- Title of journal
- Software: Practice and Experience
- Article number
- -
- First page
- 1325
- Volume
- 47
- Issue
- 10
- ISSN
- 1097-024X
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2016
- URL
-
https://onlinelibrary.wiley.com/doi/full/10.1002/spe.2469
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper compares three multi-criteria search methods for cloud-based internet of things and studies the effect of the number of context properties in the quality of search in a rigorous fashion. The research can have considerable impact on the practice of IoT device selection.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
