LAUSR

With the proliferation of a number of IoT-based service providers in the market, it would be difficult to select a suitable IoT service as per the requirement among the vast pool of available services showing similar capabilities. Quality-of-service (QoS) parameters that define a service may be used for doing an appropriate selection. Here we consider IoT as the composition of its three possible components: Things, communication entity and computing entity, and description of an IoT may include QoS parameters for each of these components. We propose a framework that makes use of a multi-criteria decision making (MCDM) as a combination of known approaches under the names Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for conducting the selection process where QoS parameters of various component of IoT act as criteria. We demonstrate the effectiveness of the proposed approach along with the sensitivity analysis for showing the robustness of the proposed framework.