Quality Provisioning in the Internet of Things Era
Abstract
Recently there has been a tremendous growth in various Internet of Things (IoT) applications like healthcare, surveillance systems, environment monitoring, smart grids, and much more. These applications vary significantly not only with respect to their functionalities, but also in terms of the underlying technologies. The traditional approaches of evaluating the Quality of Experience (QoE) of multimedia services focus heavily on the end-user experience that might not be suitable for the IoT context. IoT focuses more on Machine-to-Machine (M2M) communication, rather than Machine-to-Human or Human-to-Machine (M2H/H2M) scenarios. Therefore, we propose to extend the existing QoE concepts, by including novel influential factors like Quality of Data (QoD), and Quality of Information (QoI), along with minimizing the requirements for carrying out subjective tests for evaluating the IoT applications. Along with presenting a taxonomy of the influential factors that can affect the QoE of the IoT applications, a quality centric cross-layered IoT framework is also proposed. The overall aim of this work is to provide an initial direction as to what can be the influential factors in an IoT context, and how quality provisioning can be done, along with discussing the current challenges and future research directions.
Authors: Debajyoti Pal, Vajirasak Vanijja, V. Vijayakumar