Ntshabele, KIsong, BDladlu, NAbu-Mahfouz, Adnan MI2019-10-042019-10-042019-06Ntshabele, K., Isong, B., Dladlu, N. & Abu-Mahfouz, A.M.I. 2019. Energy consumption challenges in clustered cognitive radio sensor networks: A review. In: The IEEE 28th International Symposium on Industrial Electronics, Vancouver, Canada, 12-14 June 2019978-1-7281-3666-0https://ieeexplore.ieee.org/document/8781094DOI: 10.1109/ISIE.2019.8781094http://hdl.handle.net/10204/11148Presented in: Proceedings of The IEEE 28th International Symposium on Industrial Electronics, Vancouver, Canada, 12-14 June 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.Cognitive radio sensor networks (CRSNs) employed clustering topology to help sensor nodes operate autonomously improve energy consumption, provide quality of service without causing any uncontrollable interference. Albeit, clustering topology is difficult to implement, appropriate implementation can reduce the network complexities and achieve the desired results. Presently, several approaches have been proposed and developed over the years with each having its own strengths and weaknesses. This paper therefore, surveys clustering topologies in CRSNs with a focus on energy consumption using twelve (12) articles. The analysis shows that different cluster schemes are deployed for different objectives, and their adoption increased significantly due to better resource management. Moreover, being known for network partitioning into sub-networks, they are appropriate for heterogeneous systems, homogeneous systems or even both. Despite the promising performance of existing schemes, with proper management of clusters, elevation of energy efficiency can be achieved cost-effectively.enClustersCognitive radio sensor networksEnergy consumptionSensor nodesConference PresentationNtshabele, K., Isong, B., Dladlu, N., & Abu-Mahfouz, A. M. (2019). Energy consumption challenges in clustered cognitive radio sensor networks: A review. IEEE. http://hdl.handle.net/10204/11148Ntshabele, K, B Isong, N Dladlu, and Adnan MI Abu-Mahfouz. "Energy consumption challenges in clustered cognitive radio sensor networks: A review." (2019): http://hdl.handle.net/10204/11148Ntshabele K, Isong B, Dladlu N, Abu-Mahfouz AM, Energy consumption challenges in clustered cognitive radio sensor networks: A review; IEEE; 2019. http://hdl.handle.net/10204/11148 .TY - Conference Presentation AU - Ntshabele, K AU - Isong, B AU - Dladlu, N AU - Abu-Mahfouz, Adnan MI AB - Cognitive radio sensor networks (CRSNs) employed clustering topology to help sensor nodes operate autonomously improve energy consumption, provide quality of service without causing any uncontrollable interference. Albeit, clustering topology is difficult to implement, appropriate implementation can reduce the network complexities and achieve the desired results. Presently, several approaches have been proposed and developed over the years with each having its own strengths and weaknesses. This paper therefore, surveys clustering topologies in CRSNs with a focus on energy consumption using twelve (12) articles. The analysis shows that different cluster schemes are deployed for different objectives, and their adoption increased significantly due to better resource management. Moreover, being known for network partitioning into sub-networks, they are appropriate for heterogeneous systems, homogeneous systems or even both. Despite the promising performance of existing schemes, with proper management of clusters, elevation of energy efficiency can be achieved cost-effectively. DA - 2019-06 DB - ResearchSpace DP - CSIR KW - Clusters KW - Cognitive radio sensor networks KW - Energy consumption KW - Sensor nodes LK - https://researchspace.csir.co.za PY - 2019 SM - 978-1-7281-3666-0 T1 - Energy consumption challenges in clustered cognitive radio sensor networks: A review TI - Energy consumption challenges in clustered cognitive radio sensor networks: A review UR - http://hdl.handle.net/10204/11148 ER -