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A review of wireless sensor network localisation based on software defined networking

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dc.contributor.author Cloete, OP
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.contributor.author Hancke, GP
dc.date.accessioned 2019-08-28T08:22:18Z
dc.date.available 2019-08-28T08:22:18Z
dc.date.issued 2019-02
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
dc.identifier.isbn 978-1-5386-6377-6
dc.identifier.uri https://ieeexplore.ieee.org/abstract/document/8755075
dc.identifier.uri DOI: 10.1109/ICIT.2019.8755075
dc.identifier.uri http://hdl.handle.net/10204/11110
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 - en_ZA


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