Web Service Composition Based on Quality of Service on the Internet of Things Using Bee Colony Optimization Algorithm
الموضوعات : journal of Artificial Intelligence in Electrical Engineering
میهن حسین نژاد گرگری
1
,
علی ولی یان خروانق
2
1 - دانشگاه آزاد اسلامی واحد جلفا، ایران
2 - دانشگاه ازاد اسلامی
الکلمات المفتاحية: bee colony optimization algorithm, Internet of Things, service composition, service quality,
ملخص المقالة :
Today, the rapid development and growth of hardware, network technology, and various types of smart devices that can connect to the Internet and send and receive data have led to the emergence of a new technology called the Internet of Things (IoT). Using IoT technology, many objects in our environment are connected to the Internet and can be managed and controlled through applications available on smartphones and tablets. Service-oriented architecture has been successfully applied in various fields, including grid computing, cloud computing, wireless sensor networks, automotive networks, and the IoT. Service-oriented architecture is an architecture style that supports the loose coupling of services, enabling business flexibility and interoperability independent of technology. It consists of combining a set of business-based services. Since a single service may sometimes fail to meet user needs, industrial organizations prefer service composition to create more complex composite services. The problem of combining IoT services with respect to their Quality of Service (QoS) involves finding a set of candidate services with different non-functional characteristics that satisfy user-specified constraints and optimize an objective function. Thus, combining IoT services based on their QoS is classified as NP-Hard. This paper uses the bee colony optimization (BCO) algorithm to solve the problem of IoT service composition. The results of the simulation on the QWS dataset in the MATLAB 2019 environment show that the proposed method outperforms the genetic algorithm (GA) and the particle swarm optimization (PSO) algorithm.
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