dc.contributor.author |
Cloete, OP
|
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dc.contributor.author |
Abu-Mahfouz, Adnan MI
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dc.contributor.author |
Hancke, GP
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dc.date.accessioned |
2019-08-28T08:22:18Z |
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dc.date.available |
2019-08-28T08:22:18Z |
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dc.date.issued |
2019-02 |
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dc.identifier.citation |
Cloete, O.P., Abu-Mahfouz, A.M.I. & Hancke, G.P. 2019. A review of wireless sensor network localisation based on software defined networking. In: The 20th IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australia, 13-15 February 2019 |
en_US |
dc.identifier.isbn |
978-1-5386-6376-9 |
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dc.identifier.isbn |
978-1-5386-6377-6 |
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dc.identifier.uri |
https://ieeexplore.ieee.org/abstract/document/8755075
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|
dc.identifier.uri |
DOI: 10.1109/ICIT.2019.8755075
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|
dc.identifier.uri |
http://hdl.handle.net/10204/11110
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|
dc.description |
Presented in: The 20th IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australia, 13-15 February 2019. Due to copyright restrictions, the attached PDF file contains the abstract of the full-text item. For access to the full-text item, please consult the publisher's website. https://ieeexplore.ieee.org/abstract/document/8755075 |
en_US |
dc.description.abstract |
A strong relationship exists between the relevancy of sense data and the location of the data's origin. Current methods for localisation are too demanding on the resources of constrained devices or have high estimation errors. Software Defined Networks has the potential to offload computational and power draw requirements of localisation techniques into the controller of the network. This paper explores, categorises and discusses the strengths and weaknesses of current localisation techniques in Wireless Sensor Networks. With this in mind, the Software Defined Wireless Sensor Networking paradigm for localisation is introduced and discussed comparing some of the latest works which has been done in literature. This discussion shows that the Software Defined Wireless Sensor Network paradigm can increase network lifetime and the accuracy of localisation algorithms. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Workflow;22625 |
|
dc.subject |
Localisation algorithms |
en_US |
dc.subject |
Software Defined Networking |
en_US |
dc.subject |
SDN |
en_US |
dc.subject |
Sensor Node Position |
en_US |
dc.subject |
Software Defined Wireless Sensor Networking |
en_US |
dc.subject |
SDWSN |
en_US |
dc.subject |
Wireless sensor networks |
en_US |
dc.subject |
WSN |
en_US |
dc.title |
A review of wireless sensor network localisation based on software defined networking |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Cloete, O., Abu-Mahfouz, A. M., & Hancke, G. (2019). A review of wireless sensor network localisation based on software defined networking. IEEE. http://hdl.handle.net/10204/11110 |
en_ZA |
dc.identifier.chicagocitation |
Cloete, OP, Adnan MI Abu-Mahfouz, and GP Hancke. "A review of wireless sensor network localisation based on software defined networking." (2019): http://hdl.handle.net/10204/11110 |
en_ZA |
dc.identifier.vancouvercitation |
Cloete O, Abu-Mahfouz AM, Hancke G, A review of wireless sensor network localisation based on software defined networking; IEEE; 2019. http://hdl.handle.net/10204/11110 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Cloete, OP
AU - Abu-Mahfouz, Adnan MI
AU - Hancke, GP
AB - A strong relationship exists between the relevancy of sense data and the location of the data's origin. Current methods for localisation are too demanding on the resources of constrained devices or have high estimation errors. Software Defined Networks has the potential to offload computational and power draw requirements of localisation techniques into the controller of the network. This paper explores, categorises and discusses the strengths and weaknesses of current localisation techniques in Wireless Sensor Networks. With this in mind, the Software Defined Wireless Sensor Networking paradigm for localisation is introduced and discussed comparing some of the latest works which has been done in literature. This discussion shows that the Software Defined Wireless Sensor Network paradigm can increase network lifetime and the accuracy of localisation algorithms.
DA - 2019-02
DB - ResearchSpace
DP - CSIR
KW - Localisation algorithms
KW - Software Defined Networking
KW - SDN
KW - Sensor Node Position
KW - Software Defined Wireless Sensor Networking
KW - SDWSN
KW - Wireless sensor networks
KW - WSN
LK - https://researchspace.csir.co.za
PY - 2019
SM - 978-1-5386-6376-9
SM - 978-1-5386-6377-6
T1 - A review of wireless sensor network localisation based on software defined networking
TI - A review of wireless sensor network localisation based on software defined networking
UR - http://hdl.handle.net/10204/11110
ER -
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en_ZA |