Dataset supporting the publication "iORPL:Intermittency-aware Opportunistic Routing for IoT Networks"
Dataset supporting the publication "iORPL:Intermittency-aware Opportunistic Routing for IoT Networks"
Dataset supporting the publication "iORPL:Intermittency-aware Opportunistic Routing for IoT Networks" published by IEEE International Conference on Omni-layer Intelligent Systems (COINS2026).
This Dataset is used to evaluate and compare the performance of three routing protocols: RPL with ORW and ORPL in intermittent energy harvesting IoT scenarios. The data is presented in .csv files that support figures in the publication.
University of Southampton
Alsodairi, Sara
3c4acb7d-e4c7-43a4-ad43-dd9a5a0f37d8
Weddell, Alex
3d8c4d63-19b1-4072-a779-84d487fd6f03
F Fadhel, Nawfal
e73b96f2-bf15-40cb-9af5-23c10ea8e319
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Alsodairi, Sara
3c4acb7d-e4c7-43a4-ad43-dd9a5a0f37d8
Weddell, Alex
3d8c4d63-19b1-4072-a779-84d487fd6f03
F Fadhel, Nawfal
e73b96f2-bf15-40cb-9af5-23c10ea8e319
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Alsodairi, Sara
(2026)
Dataset supporting the publication "iORPL:Intermittency-aware Opportunistic Routing for IoT Networks".
University of Southampton
doi:10.5258/SOTON/D3966
[Dataset]
Abstract
Dataset supporting the publication "iORPL:Intermittency-aware Opportunistic Routing for IoT Networks" published by IEEE International Conference on Omni-layer Intelligent Systems (COINS2026).
This Dataset is used to evaluate and compare the performance of three routing protocols: RPL with ORW and ORPL in intermittent energy harvesting IoT scenarios. The data is presented in .csv files that support figures in the publication.
Archive
Dataset.zip
- Dataset
More information
Published date: 30 September 2026
Identifiers
Local EPrints ID: 514055
URI: https://eprints.soton.ac.uk/id/eprint/514055
PURE UUID: e7dbd1ed-12c9-4f63-af05-b25e76c193fc
Catalogue record
Date deposited: 07 Sep 2026 16:35
Last modified: 13 Sep 2026 15:51
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Contributors
Creator:
Sara Alsodairi
Research team head:
Alex Weddell
Research team head:
Nawfal F Fadhel
Research team head:
Geoff Merrett
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