Egidius, PMAbu-Mahfouz, Adnan MINdiaye, MHancke, GP2019-10-092019-10-092019-02Egidius, P.M. 2019. Data aggregation in software-defined wireless sensor networks: A review. In: IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australia, 13-15 February 2019978-1-5386-6376-9978-1-5386-6377-6DOI: 10.1109/ICIT.2019.8755186https://ieeexplore.ieee.org/document/8755186https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8755113http://hdl.handle.net/10204/11156Presented at: IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australia, 13-15 February 2019. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website.Wireless Sensor Networks (WSN) have made a substantial impact in our lives by allowing us to communicate, monitor certain environments thus enabling us to build systems such as software-defined wireless sensor networks (SDWSN) which are expected to contribute a lot on the design of many applications in future. Software-defined wireless sensor networks decouple the control plane and data plane. The control plane serves as the brain of the system while the data plane performs functions such as data aggregation, packet generation and transmission in the programmable nodes. Flow aggregation allows a limited number of flow entries to be reduced while maximizing utilities. It also improves the energy consumptions, security, overall throughput performance and network lifetime. Therefore, this paper investigates data aggregation in network technologies such as WSN and SDN and proposes flow aggregation for control packets in software-defined wireless sensor networks.enData aggregationWireless Sensor NetworksWSNsSoftware-Defined NetworksSDNsSoftware-defined wireless sensor networksSDWSNsData aggregation in software-defined wireless sensor networks: A reviewConference PresentationEgidius, P., Abu-Mahfouz, A. M., Ndiaye, M., & Hancke, G. (2019). Data aggregation in software-defined wireless sensor networks: A review. IEEE. http://hdl.handle.net/10204/11156Egidius, PM, Adnan MI Abu-Mahfouz, M Ndiaye, and GP Hancke. "Data aggregation in software-defined wireless sensor networks: A review." (2019): http://hdl.handle.net/10204/11156Egidius P, Abu-Mahfouz AM, Ndiaye M, Hancke G, Data aggregation in software-defined wireless sensor networks: A review; IEEE; 2019. http://hdl.handle.net/10204/11156 .TY - Conference Presentation AU - Egidius, PM AU - Abu-Mahfouz, Adnan MI AU - Ndiaye, M AU - Hancke, GP AB - Wireless Sensor Networks (WSN) have made a substantial impact in our lives by allowing us to communicate, monitor certain environments thus enabling us to build systems such as software-defined wireless sensor networks (SDWSN) which are expected to contribute a lot on the design of many applications in future. Software-defined wireless sensor networks decouple the control plane and data plane. The control plane serves as the brain of the system while the data plane performs functions such as data aggregation, packet generation and transmission in the programmable nodes. Flow aggregation allows a limited number of flow entries to be reduced while maximizing utilities. It also improves the energy consumptions, security, overall throughput performance and network lifetime. Therefore, this paper investigates data aggregation in network technologies such as WSN and SDN and proposes flow aggregation for control packets in software-defined wireless sensor networks. DA - 2019-02 DB - ResearchSpace DP - CSIR KW - Data aggregation KW - Wireless Sensor Networks KW - WSNs KW - Software-Defined Networks KW - SDNs KW - Software-defined wireless sensor networks KW - SDWSNs LK - https://researchspace.csir.co.za PY - 2019 SM - 978-1-5386-6376-9 SM - 978-1-5386-6377-6 SM - DOI: 10.1109/ICIT.2019.8755186 T1 - Data aggregation in software-defined wireless sensor networks: A review TI - Data aggregation in software-defined wireless sensor networks: A review UR - http://hdl.handle.net/10204/11156 ER -