Adapted Diffusion for Energy-Efficient Routing in Wireless Sensor Networks

Hakim, G; Braun, R; Lipman, J

Adapted Diffusion for Energy-Efficient Routing in Wireless Sensor Networks

Hakim, G Braun, R

Lipman, J

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Electronics (Switzerland), 2024, 13, (11)
Issue Date:: 2024-06-01

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Field	Value	Language
dc.contributor.author	Hakim, G
dc.contributor.author	Braun, R https://orcid.org/0000-0002-4153-8769
dc.contributor.author	Lipman, J https://orcid.org/0000-0003-2877-1168
dc.date.accessioned	2025-01-21T02:02:30Z
dc.date.available	2025-01-21T02:02:30Z
dc.date.issued	2024-06-01
dc.identifier.citation	Electronics (Switzerland), 2024, 13, (11)
dc.identifier.issn	1450-5843
dc.identifier.issn	2079-9292
dc.identifier.uri	http://hdl.handle.net/10453/183911
dc.description.abstract	We present a routing model called adapted diffusion for ad hoc wireless sensor networks that is more energy efficient than directed diffusion. Adapted diffusion is modeled using NetLogo with agent-based modeling. In this agent-based NetLogo model, we set the distance from a random source and the distance from the sink to optimize the routing protocols. By using this routing technique significant energy savings were achieved. We consider a three-dimensional communication network that can be used in a building or a stack of shipping containers. Our model can be extended to a 3D model.
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Electronics (Switzerland)
dc.relation.isbasedon	10.3390/electronics13112072
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.title	Adapted Diffusion for Energy-Efficient Routing in Wireless Sensor Networks
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Global Big Data Technologies Centre (GBDTC)
utslib.copyright.status	in_progress	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2025-01-21T02:02:29Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	11

Abstract:

We present a routing model called adapted diffusion for ad hoc wireless sensor networks that is more energy efficient than directed diffusion. Adapted diffusion is modeled using NetLogo with agent-based modeling. In this agent-based NetLogo model, we set the distance from a random source and the distance from the sink to optimize the routing protocols. By using this routing technique significant energy savings were achieved. We consider a three-dimensional communication network that can be used in a building or a stack of shipping containers. Our model can be extended to a 3D model.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/183911