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A comparison of data aggregation techniques in software-defined wireless sensor network

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dc.contributor.author Egidius, P
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.contributor.author Hancke, GP
dc.date.accessioned 2019-10-14T08:17:15Z
dc.date.available 2019-10-14T08:17:15Z
dc.date.issued 2019-06
dc.identifier.citation Egidius, P., Abu-Mahfouz, A.M.I., and Hancke, G. 2019. A comparison of data aggregation techniques in software-defined wireless sensor network. The IEEE 28th International Symposium on Industrial Electronics, 12-14 June 2019, Vancouver, Canada, pp 1551-1555. en_US
dc.identifier.isbn 978-1-7281-3666-0
dc.identifier.isbn 978-1-7281-3667-7
dc.identifier.uri https://ieeexplore.ieee.org/document/8781537
dc.identifier.uri DOI: 10.1109/ISIE.2019.8781537
dc.identifier.uri http://hdl.handle.net/10204/11168
dc.description Copyright: 2019 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website. en_US
dc.description.abstract The Software Defined Network (SDN) concept has been proposed to be utilized in the traditional Wireless Sensor Network (WSN) applications such as Internet of Things (IoTs), traffic engineering and smart grid, etc. The SDN Concept is an ideal concept whose benefits can be observed in the smooth and much improved performances from management, reconfiguration and the wireless communication between the SDN controller and the SDN switches. However, due to the increase of data traffic, the SDN switches have found it difficult to manage the incoming data flow since their flow tables have limited space to hold flow entries, the flow tables contain rules on how to control the data overflow, which can lead to packet loss and delay. The communication between the control plane and data plane also increases as the data traffic increase, resulting in higher energy consumption. Therefore, in this paper, we will discuss the data aggregation techniques that were employed in order to tackle the aforementioned challenges in the software-defined wireless sensor networks. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Worklist;22655
dc.subject Software Defined Network en_US
dc.subject SDN en_US
dc.subject Wireless Sensor Networks en_US
dc.subject WSN en_US
dc.subject Defined Wireless Sensor Networks en_US
dc.subject Programmable SDN switches en_US
dc.title A comparison of data aggregation techniques in software-defined wireless sensor network en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Egidius, P., Abu-Mahfouz, A. M., & Hancke, G. (2019). A comparison of data aggregation techniques in software-defined wireless sensor network. IEEE. http://hdl.handle.net/10204/11168 en_ZA
dc.identifier.chicagocitation Egidius, P, Adnan MI Abu-Mahfouz, and GP Hancke. "A comparison of data aggregation techniques in software-defined wireless sensor network." (2019): http://hdl.handle.net/10204/11168 en_ZA
dc.identifier.vancouvercitation Egidius P, Abu-Mahfouz AM, Hancke G, A comparison of data aggregation techniques in software-defined wireless sensor network; IEEE; 2019. http://hdl.handle.net/10204/11168 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Egidius, P AU - Abu-Mahfouz, Adnan MI AU - Hancke, GP AB - The Software Defined Network (SDN) concept has been proposed to be utilized in the traditional Wireless Sensor Network (WSN) applications such as Internet of Things (IoTs), traffic engineering and smart grid, etc. The SDN Concept is an ideal concept whose benefits can be observed in the smooth and much improved performances from management, reconfiguration and the wireless communication between the SDN controller and the SDN switches. However, due to the increase of data traffic, the SDN switches have found it difficult to manage the incoming data flow since their flow tables have limited space to hold flow entries, the flow tables contain rules on how to control the data overflow, which can lead to packet loss and delay. The communication between the control plane and data plane also increases as the data traffic increase, resulting in higher energy consumption. Therefore, in this paper, we will discuss the data aggregation techniques that were employed in order to tackle the aforementioned challenges in the software-defined wireless sensor networks. DA - 2019-06 DB - ResearchSpace DP - CSIR KW - Software Defined Network KW - SDN KW - Wireless Sensor Networks KW - WSN KW - Defined Wireless Sensor Networks KW - Programmable SDN switches LK - https://researchspace.csir.co.za PY - 2019 SM - 978-1-7281-3666-0 SM - 978-1-7281-3667-7 T1 - A comparison of data aggregation techniques in software-defined wireless sensor network TI - A comparison of data aggregation techniques in software-defined wireless sensor network UR - http://hdl.handle.net/10204/11168 ER - en_ZA


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