Realizing Internet of Things with network slicing:opportunities and challenges

Abstract Internet of Things (IoT) is a lucrative technology within the modern community that realizes the concept of the smart world, by expanding within a myriad of applications. Existing wireless networks require a radical change to fulfill the network requirements and cater the rapid expansion of the IoT ecosystem. 5G architecture is specifically designed to facilitate this demand. Network slicing is a pivotal technology in 5G architecture that has the ability to divide the physical network into multiple logical networks with specific network characteristics. In this paper, we are going to analyze how network slicing can be helpful in the IoT realization. Technical aspects that are required in the IoT realization, and the slicing based solutions which address these aspects, will be discussed here. Moreover, technical challenges that can arise due to network slicing integration in IoT ecosystem, will also be discussed with the potential solutions

Survey on network slicing for Internet of Things realization in 5G networks

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

A comprehensive analysis on network slicing for smart hospital applications

Abstract Network slicing (NS) is technology that enables emerging smart applications and use cases in Fifth Generation (5G) and beyond networks. One such application is smart hospitals, which has diverse network requirements for applications ranging from Augmented Reality (AR) and robot assisted surgeries to connecting large numbers of medical wearables and sensors. NS can be performed in smart hospitals under different strategies based on dynamicity, ownership, and application. This paper investigates how these strategies can be utilized in different smart hospital applications. The performance of each slicing strategy in a hospital network is analyzed under three matrices: bandwidth utilization, handover count, and block count

Network slicing strategies for smart industry applications

Abstract The dawn of smart industries will utilize myriads of interconnected machines, devices, and sensors in factory environments to perform intelligent operations. This paradigm demands satisfying diverse communication requirements through strong network connectivity and services. Network Slicing (NS) in the fifth-generation (5G) and beyond networks is a pragmatic technology that can be utilized to satisfy the communication requirements of smart industries. This paper provides a comprehensive insight on how different NS strategies can be utilized to realize smart industry applications. Furthermore, we simulate a smart factory environment to evaluate the performance of different slicing strategies under two network statistics: band-width utilization and the number of connected clients, along with different base station arrangements