Survey on Blockchain based Smart Contracts: Technical Aspects and Future Research

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Title: Survey on Blockchain based Smart Contracts: Technical Aspects and Future Research
Authors: Hewa, TharakaHu, YiningLiyanage, MadhusankaKanhare, SalilYlianttila, Mika
Permanent link: http://hdl.handle.net/10197/12084
Date: 23-Mar-2021
Online since: 2021-04-12T16:37:02Z
Abstract: Internet of Things (IoT) is an emerging technology that makes people’s lives smart by conquering a plethora of diverse application and service areas. In near future, the fifth-generation (5G) wireless networks provide the connectivity for this IoT ecosystem. It has been carefully designed to facilitate the exponential growth in the IoT field. Network slicing is one of the key technologies in the 5G architecture that has the ability to divide the physical network into multiple logical networks (i.e. slices) with different network characteristics. Therefore, network slicing is also a key enabler of realisation of IoT in 5G. Network slicing can satisfy the various networking demands by heterogeneous IoT applications via dedicated slices. In this survey, we present a comprehensive analysis of the exploitation of network slicing in IoT realisation. We discuss network slicing utilisation in different IoT application scenarios, along with the technical challenges that can be solved via network slicing. Furthermore, integration challenges and open research problems related to the network slicing in the IoT realisation are also discussed in this paper. Finally, we discuss the role of other emerging technologies and concepts, such as blockchain and Artificial Intelligence/Machine Learning(AI/ML) in network slicing and IoT integration
Funding Details: University College Dublin
Funding Details: 5GEAR Menot CWCNS
6Genesis Flagship
Type of material: Journal Article
Publisher: IEEE
Journal: IEEE Access
Start page: 1
End page: 1
Keywords: Smart contractsBlockchainSecurityDistributed ledgerConcurrent computingTechnological innovationPrivacy
DOI: 10.1109/access.2021.3068178
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by/3.0/ie/
Appears in Collections:Computer Science Research Collection

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