Software-defined wireless sensor networking (SDWSN) is a new wireless networking paradigm formed by applying software-defined networking to wireless sensor networks. Fragmentation-based distributed control system offers an efficient way of distributing the SDWSN control services across the network. Fragmentation aims to bring the control services closer to the infrastructure network in order to reduce the propagation latency. It also aims to improve the scalability, reliability, and performance of the network. The fragmentation model is earmarked to play a huge role in stimulating participation of SDWSN in Internet of Things. To realize this, we optimize the model for deployment and integration as well as for operational efficiency. We consider two aspects: controller placement and controller reelection after failure. This paper discusses the controller placement techniques suitable for SDWSN and the controller replacement in a case of failure for SDWSN. The controller placement and the controller replacement mechanism were both evaluated and the results proved to be effective and efficient.
Reference:
Kobo, H.I., Abu-Mahfouz, A.M.I. and Hancke, G.P. 2019. Efficient controller placement and re-election mechanism in distributed control system for software defined wireless sensor networks. Transactions on Emerging Telecommunications Technologies, vol. 30(6): https://doi.org/10.1002/ett.3588
Kobo, H. I., Abu-Mahfouz, A. M., & Hancke, G. P. (2019). Efficient controller placement and re-election mechanism in distributed control system for software defined wireless sensor networks. http://hdl.handle.net/10204/11454
Kobo, Hlabishi I, Adnan MI Abu-Mahfouz, and Gerhard P Hancke "Efficient controller placement and re-election mechanism in distributed control system for software defined wireless sensor networks." (2019) http://hdl.handle.net/10204/11454
Kobo HI, Abu-Mahfouz AM, Hancke GP. Efficient controller placement and re-election mechanism in distributed control system for software defined wireless sensor networks. 2019; http://hdl.handle.net/10204/11454.
Copyright: 2019 Wiley. Due to copyright restrictions, the attached PDF file contains the pre-print version of the published item. For access to the published version, please consult the publisher's website: https://doi.org/10.1002/ett.3588