3D deployment optimization for Heterogeneous Wireless Directional Sensor Networks on Smart City
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 918
- Type
- D - Journal article
- DOI
-
10.1109/TII.2018.2884951
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 1798
- Volume
- 15
- Issue
- 3
- ISSN
- 1941-0050
- Open access status
- Compliant
- Month of publication
- December
- 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
-
4
- Research group(s)
-
-
- Citation count
- 13
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents results from an international research collaboration with two universities in China, supported by three research grants, e.g. 61303001 and 61572231 from the National Natural Science Foundation of China. It offers a novel perspective by considering the deployment problem of wireless sensor networks as a multi-objective optimization problem. The proposed work includes a graph-based 3-D signal propagation model and a new distributed parallel multi-objective evolutionary algorithm (MOEA). The experiment conducted demonstrates that the algorithm is better than state-of-the-art MOEAs in terms of optimization performance and operation time.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
