Print Email Facebook Twitter No way back? An SDN protocol for directed IoT networks Title No way back? An SDN protocol for directed IoT networks Author Cerqueira Afonso Alves, Renan (Universidade de Sao Paulo) Borges Margi, Cintia (Universidade de Sao Paulo) Kuipers, F.A. (TU Delft Embedded and Networked Systems) Date 2019 Abstract The Internet of Things (IoT) has and will continue to permeate many aspects of everyday life. However, IoT de- vices often use wireless communication to transfer their data, which may experience ambient noise and multipath fading. This, together with the wide heterogeneity in types of devices, leads to the emergence of unidirectional links in IoT networks. Surprisingly, many routing protocols for wireless networks either do not account for such links or employ radical mechanisms, like blacklisting. In this paper, we leverage the features of Software-Defined Networking (SDN) to develop a network discovery algorithm that is able to cope with unidirectional links, while containing the control overhead. We provide a proof-of-concept implementation of an SDN protocol for constrained devices that uses our algorithm and perform experiments. The experiment results show that our solution is scalable and performs well both for unidirectional links as well as for fully bidirectional networks. Subject Software-Defined NetworkingUnidirectional LinksWireless Sensor Networks To reference this document use: http://resolver.tudelft.nl/uuid:65b19cd4-9776-412f-99ac-a8efce1b6fd3 DOI https://doi.org/10.23919/WONS.2019.8795491 ISBN 978-3-903176-13-3 Source 2019 15th Annual Conference on Wireless On-demand Network Systems and Services, WONS 2019 - Proceedings Event 15th Wireless On-demand Network systems and Services Conference, 2019-01-22 → 2019-01-24, Wengen, Switzerland Series 2019 15th Annual Conference on Wireless On-demand Network Systems and Services, WONS 2019 - Proceedings Part of collection Institutional Repository Document type conference paper Rights © 2019 Renan Cerqueira Afonso Alves, Cintia Borges Margi, F.A. Kuipers Files PDF WONS2019.pdf 713.45 KB Close viewer /islandora/object/uuid:65b19cd4-9776-412f-99ac-a8efce1b6fd3/datastream/OBJ/view