Molose, RIsong, BDladlu, NAbu-Mahfouz, Adnan MI2023-03-082023-03-082022-07Molose, R., Isong, B., Dladlu, N. & Abu-Mahfouz, A.M. 2022. Data aggregation schemes for maximal network lifetime: Review. http://hdl.handle.net/10204/12653 .978-1-6654-7087-2978-1-6654-7088-9DOI: 10.1109/ICECET55527.2022.9872947http://hdl.handle.net/10204/12653Energy consumption and the network lifespan of wireless sensor networks (WSNs) are greatly affected by data transmission and retransmission. The challenge follows the energy limitation of sensor nodes with replaceable batteries. Albeit several energy-efficient approaches including data aggregation (DA) algorithms have been proposed to address the challenge, an optimum solution is yet to be deployed. Therefore, this paper comprehensively reviews existing relevant energy-efficient DA schemes to bring together the different approaches utilized to maximize network lifetime and identify aspects that need improvement. Several relevant DA techniques in WSN articles were considered and the analysis revealed the existence of several schemes such as the tree-based, cluster-based, in-network and even free structure-based with the overall objective of maximizing network lifespan. The tree-based DA approach was found to be the most widely used and more energy-efficient scheme appropriate for continuous monitoring. We also suggested further advancement via software-defined network controllers to minimize energy consumption and provided some opportunities for future research.AbstractenData aggregationEnergy consumptionCluster-basedSoftware-Defined NetworkingSDNTree-basedWireless Sensor NetworksWSNsConference PresentationMolose, R., Isong, B., Dladlu, N., & Abu-Mahfouz, A. M. (2022). Data aggregation schemes for maximal network lifetime: Review. http://hdl.handle.net/10204/12653Molose, R, B Isong, N Dladlu, and Adnan MI Abu-Mahfouz. "Data aggregation schemes for maximal network lifetime: Review." <i>2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), Prague, Czech Republic, 20-22 July 2022</i> (2022): http://hdl.handle.net/10204/12653Molose R, Isong B, Dladlu N, Abu-Mahfouz AM, Data aggregation schemes for maximal network lifetime: Review; 2022. http://hdl.handle.net/10204/12653 .TY - Conference Presentation AU - Molose, R AU - Isong, B AU - Dladlu, N AU - Abu-Mahfouz, Adnan MI AB - Energy consumption and the network lifespan of wireless sensor networks (WSNs) are greatly affected by data transmission and retransmission. The challenge follows the energy limitation of sensor nodes with replaceable batteries. Albeit several energy-efficient approaches including data aggregation (DA) algorithms have been proposed to address the challenge, an optimum solution is yet to be deployed. Therefore, this paper comprehensively reviews existing relevant energy-efficient DA schemes to bring together the different approaches utilized to maximize network lifetime and identify aspects that need improvement. Several relevant DA techniques in WSN articles were considered and the analysis revealed the existence of several schemes such as the tree-based, cluster-based, in-network and even free structure-based with the overall objective of maximizing network lifespan. The tree-based DA approach was found to be the most widely used and more energy-efficient scheme appropriate for continuous monitoring. We also suggested further advancement via software-defined network controllers to minimize energy consumption and provided some opportunities for future research. DA - 2022-07 DB - ResearchSpace DP - CSIR J1 - 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), Prague, Czech Republic, 20-22 July 2022 KW - Data aggregation KW - Energy consumption KW - Cluster-based KW - Software-Defined Networking KW - SDN KW - Tree-based KW - Wireless Sensor Networks KW - WSNs LK - https://researchspace.csir.co.za PY - 2022 SM - 978-1-6654-7087-2 SM - 978-1-6654-7088-9 T1 - Data aggregation schemes for maximal network lifetime: Review TI - Data aggregation schemes for maximal network lifetime: Review UR - http://hdl.handle.net/10204/12653 ER -26244