Fuzzy logic hybridized artificial intelligence for computing and networking on internet of things platform
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Fuzzy logic hybridized artificial intelligence for computing and networking on internet of things platform Hongzhuo Qi 1 Received: 3 August 2019 / Accepted: 24 September 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract Artificial intelligence Computerized modelling is the best solution to manage immense information and storage in the IoT Network. Furthermore, IoT these days becoming more increasingly well-known with the development of high speed web systems and many advanced sensors that can be coordinated into a microcontroller. The information flows in the virtual environment presently will have these sensors data and the client information that can be send and receive information from the workstations using the peer to peer networking and computing. With the increase in the quantity of workstation and an ever increasing number of sensors, a few information might confront issues on the storage, delay, area constraint and congestion in the systems. To keep away from these issues, numerous mathematical calculations have been proposed in the recent past which has not been developed an fruitful solution for this issues.. In this work, an advanced fuzzy hybridized Artificial Intelligence system has been proposed to management the request on IoT platform. The significance of request management and computing has been processed in this paper. The experiment results show prominent outcomes than traditional methods. Keywords IoT . Fuzzy . Artificial intelligence . Computing and request management
1 Introduction Internet of things (IoT) is a modern communication technology that integrates human, machine and applications in a ubiquitous fashion. Communication enabled machines called “things” are connected through wireless medium for information access and sharing using common network such as internet. The design goal of IoT is to interconnect and communicate various devices such as machines, service providers, cloud, sensing units, middleware, etc. in the name of technology to provide seamless service support for end-users [1]. This enables pervasive access of distributed resources under one-roof for the communicating users [2]. Service providers of different flavours such as multimedia, databases, electronic health records, infrastructure and software services are incorporated in the IoT environment for coping up with the end-user requests. Modern sophisticated communication technologies exploiting wireless medium are * Hongzhuo Qi [email protected] 1
School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China
employed for the information access and sharing among the smart devices and other resources [3]. As IoT adapts multiple communication networks and technologies, the conventional network process such as data transmission, resource allocation and sharing, computation, and retrieval is distributed across the collaborative environment [4]. Cloud is the major contributor for the service integration and sharing on IoT paradigm. Cloud servic
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