Title: Bandwidth management framework for smart homes using SDN: ISP perspective

Authors: Hung-Chin Jang; Jian-Ting Lin

Addresses: Department of Computer Science, National Chengchi University, Taipei, Taiwan ' Department of Computer Science, National Chengchi University, Taipei, Taiwan

Abstract: This paper proposed a software-defined networking-based (SDN) quality of service (QoS) aware bandwidth management framework for thousands of IoT-enabled smart homes from ISP perspective. Each smart home equips with tens of IoT devices, and each smart home exploits a variety of services. The overall system architecture consists of SDN smart home cloud at ISP side, and massive SDN enabled smart homes. The smart home cloud interconnects with Smart Homes through OpenFlow protocol. With this architecture, we proposed a bandwidth allocation for smart home (BASH) strategy to calculate appropriate bandwidth for each service category according to distinct QoS requirements. ISP can thus use BASH to optimise bandwidth allocation of aggregated and classified services of smart homes. The experiment results show that the proposed framework can effectively enhance QoS and outperform the traditional ISP bandwidth allocation strategy in terms of average transfer ratio, average throughput, average delay and average jitter.

Keywords: software-defined networking; SDN; quality of service; QoS; internet service provider; ISP; smart home; bandwidth management.

DOI: 10.1504/IJIPT.2019.099678

International Journal of Internet Protocol Technology, 2019 Vol.12 No.2, pp.110 - 120

Available online: 09 May 2019 *

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