Wireless Sensor Network Routing for Energy Efficiency

Hakim, G; Braun, R

Wireless Sensor Network Routing for Energy Efficiency

Hakim, G Braun, R

Permalink

Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: Springer Proceedings in Mathematics and Statistics, 2022, 364, pp. 329-343
Issue Date:: 2022-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted versionAdobe PDF (425.68 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Hakim, G
dc.contributor.author	Braun, R https://orcid.org/0000-0002-4153-8769
dc.date	2021-12-14
dc.date.accessioned	2023-04-18T06:14:45Z
dc.date.available	2023-04-18T06:14:45Z
dc.date.issued	2022-01-01
dc.identifier.citation	Springer Proceedings in Mathematics and Statistics, 2022, 364, pp. 329-343
dc.identifier.isbn	9783030773137
dc.identifier.issn	2194-1009
dc.identifier.issn	2194-1017
dc.identifier.uri	http://hdl.handle.net/10453/169961
dc.description.abstract	In this paper we present a new ABM model of Directed Diffusion using NetLogo that allows to study the impact of energy usage for various transmission activities. Furthermore we developed two new derivatives of this model of Directed Diffusion that could lead to energy saving in practical applications. We call these Lazy Diffusion and Gradient Diffusion. We exercise the models to produce results that show significant reduction in energy consumption over Directed Diffusion. We conclude that Wireless Sensor Networks with their routing protocols are complex systems, which can yield to Agent Based Modelling.
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Springer Proceedings in Mathematics and Statistics
dc.relation.ispartof	International Conference On Systems Engineering
dc.relation.ispartofseries	Lecture Notes in Networks and Systems
dc.relation.isbasedon	10.1007/978-3-030-92604-5_30
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Wireless Sensor Network Routing for Energy Efficiency
dc.type	Conference Proceeding
utslib.citation.volume	364
utslib.location.activity	Wrocław, Poland
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/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2023-04-18T06:14:44Z
pubs.finish-date	2021-12-16
pubs.place-of-publication	Swizterland
pubs.publication-status	Published
pubs.start-date	2021-12-14
pubs.volume	364
dc.location	Swizterland

Abstract:

In this paper we present a new ABM model of Directed Diffusion using NetLogo that allows to study the impact of energy usage for various transmission activities. Furthermore we developed two new derivatives of this model of Directed Diffusion that could lead to energy saving in practical applications. We call these Lazy Diffusion and Gradient Diffusion. We exercise the models to produce results that show significant reduction in energy consumption over Directed Diffusion. We conclude that Wireless Sensor Networks with their routing protocols are complex systems, which can yield to Agent Based Modelling.

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

http://hdl.handle.net/10453/169961