Block Chain Performance in ۵G and LTE in IoT Platform for Industrial Applications

Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

TECCONF05_108

تاریخ نمایه سازی: 11 مهر 1400

Abstract:

The Internet of Things (IoT) requires the creation of new structures that use edge and fog computing environments due to the lack of optimal quality of services and bandwidth requirements. This new paradigm can accomplish many of internet tasks on the edge and fog which is capable to confrontinga wide range of technologies in the IoT. For example, edge and fog computing can be used in smart home, smart city, smart driving and other things that are planned based on IoT mechanisms. Since resource management along with quality of services in the internet has been challenging in recent years as the technology has grown, providing integrated structures is essential and connecting to ۵G and LTE standards due to more internet speed. For this purpose, Block Chain with a minimum computational complexity and high level of flexibility are provided which are capable to create gateways for the IoT-basededge and fog computation with a regular and optimal access mechanism for ۵G and LTE. This research aims to provide a secure gateway structure with the maximum privacy of data in the connected ۵G and LTE internet environment with multiple edge and fog computing. The use of encryption mechanisms including DTLS and FSK is considered as the main approach used in the Block Chain structure for transmitting and receiving data in industrial application. The proposed approach is called the Secure Gateway Block Chain Edge Fog in IoT or SGBCHIoT. Improving the quality of services includes delays, passivity,probability of data detection, probability of miss detection, and data lose rate to manage the resources of the network. The results represented that the proposed approach has better performance in comparison to others.

Keywords:

BlockChain , Edge and Fog Computing , Internet of Things (IoT) , Resource Management , , ۵G , LTE

Authors

Amirhossein Ghasemi

Department of Engineering, Bozorgmehr University of Qaenat, Qaen Iran

Mohsen Saberi

Department of Engineering, Bozorgmehr University of Qaenat, Qaen Iran