Multi-objective Optimization using NSGA II for service composition in IoT

Internet of Things (IoT) provides an innovative worldwide view to the things which are fit for communicating with one another. Each thing like temperature sensor, pressure sensor provides its functionality in the form of web service on the Internet. As the number of things connecting to the IoT network are increasing, thus one of the important challenges is to address the optimal selection of the web service to fulfil the user request. As the user requirements cannot be fulfilled using a single service so various services are composed to serve the IoT based system applications. This paper presents the usage of multi-objective metaheuristic search algorithm to provide optimal solution to Service Composition Problem (SCP) in fort:. Furthermore, this paper illustrates the use of one of the popular algorithms namely Non-dominated Sorting Genetic Algorithm (NSGA II). This paper looks at the way and methodology utilized to solve SCP in IoT. QoS parameters have become an important criterion for optimization. This algorithm is utilized to solve Quality of Service (QoS) based SCR The results obtained are evaluated by analysing the no. of points plotted by pareto optimal curve. NSGA II is used to obtain the pareto fronts. (C) 2020 The Authors. Published by Elsevier B.V.