Maximum Entropy-Based Semi-Definite Programming for Wireless Sensor Network Localization
- Submitting institution
-
University of East London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 15
- Type
- D - Journal article
- DOI
-
10.1109/JIOT.2018.2885959
- Title of journal
- IEEE Internet of Things Journal
- Article number
- -
- First page
- 3480
- Volume
- 6
- Issue
- 2
- ISSN
- 2327-4662
- Open access status
- Deposit exception
- Month of publication
- -
- Year of publication
- 2018
- URL
-
-
- 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
-
2
- Research group(s)
-
1 - Intelligent Systems
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In a series of applied localization projects for wireless sensor networks we noticed that when the positions of anchor nodes are inaccurate, the results are not satisfactory. This paper is significant in proposing a localization method, not only under anchor position uncertainty assumption, but also independent from the distribution and covariance matrix of uncertainty in anchors’ positions. The real-world application of this method is in scenarios where non-line-of-sight connections are not identifiable. As a consequence of this paper, a MSc project was performed (Mohammad Nabati), and a journal paper (10.1109/JSEN.2018.2866429) and a book chapter (ISBN_9781138580619) were published.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -