Print Email Facebook Twitter CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks Title CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks Author Liu, Qingzhi (Eindhoven University of Technology) Ozcelebi, Tanir (Eindhoven University of Technology) Cheng, Long (University College Dublin) Kuipers, F.A. (TU Delft Embedded Systems) Lukkien, Johan (Eindhoven University of Technology) Date 2019 Abstract Software-defined networking (SDN) is a cornerstone of next-generation networks and has already led to numerous advantages for data-center networks and wide-area networks, for instance in terms of reduced management complexity and more fine-grained traffic engineering. However, the design and implementation of SDN within wireless sensor networks (WSN) have received far less attention. Unfortunately, because of the multi-hop type of communication in WSN, a direct reuse of the wired SDN architecture could lead to excessive commu- nication overhead. In this paper, we propose a cluster-based flow management approach that makes a trade-off between the granularity of monitoring by an SDN controller and the communication overhead of flow management. A network is partitioned into clusters with a minimum number of border nodes. Instead of having to handle the individual flows of all nodes, the SDN controller only manages incoming and outgoing traffic flows of clusters through border nodes. Our proof-of- concept implementations in software and hardware show that, when compared with benchmark solutions, our approach is significantly more efficient with respect to the number of nodes that must be managed and the number of control messages exchanged. Subject Software-defined networkingWireless sensor networks To reference this document use: http://resolver.tudelft.nl/uuid:45a37317-20e7-4916-a8c2-cb12b1dc3dce DOI https://doi.org/10.1109/WCNC.2019.8885485 Publisher IEEE ISBN 978-1-5386-7647-9 Source 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019, 2019-April Part of collection Institutional Repository Document type conference paper Rights © 2019 Qingzhi Liu, Tanir Ozcelebi, Long Cheng, F.A. Kuipers, Johan Lukkien Files PDF WCNC2019.pdf 1.28 MB Close viewer /islandora/object/uuid:45a37317-20e7-4916-a8c2-cb12b1dc3dce/datastream/OBJ/view