A Game Theoretic Optimization of RPL for Mobile Internet of Things Applications
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 12 - Engineering
- Output identifier
- ELEC-63
- Type
- D - Journal article
- DOI
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10.1109/JSEN.2018.2794762
- Title of journal
- IEEE Sensors Journal
- Article number
- -
- First page
- 2520
- Volume
- 18
- Issue
- 6
- ISSN
- 1530-437X
- Open access status
- Compliant
- Month of publication
- January
- 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)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- Yes
- Additional information
- Optimising the routing is essential in development of efficient networks for ‘Internet of Things’ (IoT) applications. This paper considers the ‘Routing Protocol for Low-Power and Lossy Networks’ (RPL) in IoT deployment, providing an in-depth analysis across a breadth of operational parameters. The outcome of this work has been applied to networks in the EPSRC project HECOIRA (EP/P023312/1, £1.0M) where traffic is monitored across numerous hospital-based applications, exploring the impact of routing protocols on the network. Specifically, the analysis of this paper allows calculation of optimal parameter settings to ensure efficient deployment, increasingly important in the post-COVID landscape.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
