Optimal fusion rule for distributed detection in clustered wireless sensor networks
- Submitting institution
-
University of Lincoln
- Unit of assessment
- 12 - Engineering
- Output identifier
- 27391
- Type
- D - Journal article
- DOI
-
10.1186/s13634-016-0303-9
- Title of journal
- EURASIP Journal on Advances in Signal Processing
- Article number
- -
- First page
- 5
- Volume
- 2016
- Issue
- 1
- ISSN
- 1687-6180
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1186/s13634-016-0303-9
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Distributed detection in a clustered wireless sensor network (WSN) is considered and stochastic
geometry is employed to derive the optimal fusion rule. Results show that performance can improve by forming more clusters without increasing the sensor node deployment intensity. This leads to further developments by enabling the integration of robotics with WSN-“Energy balancing for robotic aided clustered wireless sensor networks using mobility diversity
algorithms. Additionally, algorithms developed are applied to the IUK project “Development & Optimisation of Fresh produce Supply Chain and Storage Systems” (specifically in improving the performance of high volume cold storage systems using IoT and smart sensor).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -