Location-Aware, Context-Driven QoS for IoT Applications

Enas M. Ahmad, Maha S. Alaslani, Fahad R. Dogar, Basem Shihada

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, we identify the unique quality of service (QoS) needs of emerging IoT applications and propose SDN-based Application-aware Dynamic Internet of things Quality of service (SADIQ), a software-defined network (SDN) framework that addresses these needs. SADIQ provides location-aware, context-driven QoS for IoT applications by allowing applications to express their requirements using a location-based abstraction and a high-level SQL-like policy language, and the network to support these requirements through recent advances in SDNs. We implement SADIQ using commodity OpenFlow-enabled switches and an open-source SDN controller and evaluate its effectiveness using traces from two real IoT applications. Our results show that SADIQ improves the percentage of regions with error in their reported temperature for the Weather Signal application up to 45x, and improves the percentage of incorrect parking statuses for regions with high occupancy for the Smart Parking application up to 30x, under the same network conditions and drop rates.
Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalIEEE Systems Journal
Volume14
Issue number1
DOIs
StatePublished - 2019

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