Business Models and Use Cases for the IoT

Escribano, Carmen Perea; Theologou, Natalia; Likar, Matjaž; Tryferidis, Athanasios; Tzovaras, Dimitrios

doi:10.1007/978-3-030-45316-9_3

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…These requirements introduce high constraints on the design of communication networks for such systems [5]. Moreover, implementing the Internet of Things (IoT) with 5G/6G systems puts a new constraint on dense deployment since the number of connected gadgets is likely to increase dramatically to be of a density of million devices per Km 2 [6,7].…”

Section: Introductionmentioning

confidence: 99%

Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

Ateya¹,

Alhussan²,

Abdallah³

et al. 2023

Computer Systems Science and Engineering

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Next-generation cellular networks are expected to provide users with innovative gigabits and terabits per second speeds and achieve ultra-high reliability, availability, and ultra-low latency. The requirements of such networks are the main challenges that can be handled using a range of recent technologies, including multi-access edge computing (MEC), artificial intelligence (AI), millimeterwave communications (mmWave), and software-defined networking. Many aspects and design challenges associated with the MEC-based 5G/6G networks should be solved to ensure the required quality of service (QoS). This article considers developing a complex MEC structure for fifth and sixth-generation (5G/6G) cellular networks. Furthermore, we propose a seamless migration technique for complex edge computing structures. The developed migration scheme enables services to adapt to the required load on the radio channels. The proposed algorithm is analyzed for various use cases, and a test bench has been developed to emulate the operator's infrastructure. The obtained results are introduced and discussed.

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Section: Introductionmentioning

confidence: 99%

Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

Ateya¹,

Alhussan²,

Abdallah³

et al. 2023

Computer Systems Science and Engineering

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“…M2M is the communication paradigm that has been introduced to enable the communications and interactions between machines, e.g., sensors and actuators [3]. Many market sectors consider developing IoT systems and applications, have been launched, and massive IoT applications in many fields have been developed [4]. However, there are many design challenges associated with IoT networks and the integration of such networks with the existing and future cellular networks, e.g., fourth-generation (4G) and fifth-generation (5G) [5].…”

Section: Introductionmentioning

confidence: 99%

Enabling Heterogeneous IoT Networks over 5G Networks with Ultra-Dense Deployment—Using MEC/SDN

et al. 2021

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The Internet of things (IoT) is the third evolution of the traditional Internet that enables interaction and communication among machines. Many IoT platforms and networks have been developed, and recently, market sectors have started to develop specific IoT applications and services. Integrating heterogeneous IoT networks with the existing ones, mainly with the cellular networks, is a great demand. IoT represents one of the main use cases of the fifth-generation (5G) cellular system as announced by the 3rd Generation Partnership Project (3GPP) and the International Telecommunication Union (ITU). Integrating IoT networks with 5G networks face many challenges related to dense deployment and a massive number of expected connected devices. Thus, IoT network availability and scalability are the main requirements that should be achieved. To this end, this work provides a framework for integrating heterogeneous IoT networks with the 5G networks. The proposed system considers dense deployment and system scalability and availability requirements as announced by ITU and 3GPP. Our proposed structure deploys three main communication paradigms; mobile edge computing (MEC), device-to-device communications (D2D), and software-defined networking (SDN). Our proposed system is evaluated over a reliable environment for various deployment scenarios, and the results validate the proposed structure. The proposed IoT/5G reduces the percentage of blocked tasks by an average of 30% than other traditional IoT networks. This increases the overall system availability and scalability since IoT networks can have more devices and tasks than existing IoT networks. Furthermore, our proposed structure reduces the overall consumed energy by an average of 20% than existing IoT networks, which is an effective metric for IoT networks.

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