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.
Reference:
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
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
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
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 .
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
Author:Delport, JPDate:May 2007This dissertation describes the experiments performed and the techniques developed in order to identify network nodes and the connections between these nodes. The product of the investigation was the formulation of an algorithm and heuristic ...Read more
Author:Ndiaye, M; Hancke, GP; Abu-Mahfouz, Adnan MIDate:May 2017Wireless sensor networks (WSNs) are becoming increasingly popular with the advent of the Internet of things (IoT). Various real-world applications of WSNs such as in smart grids, smart farming and smart health would require a potential ...Read more
Author:Burke, Ivan D; Herbert, ADate:Jun 2020The South African National Research and Education Network (SANREN) proves network connectivity and services to all tertiary education networks and research councils within South Africa. The NREN forms part of South Africa’s national integrated ...Read more