Smart energy efficient gateway for Internet of mobile things

Hassan

IEEE Commun. Surv. Tutorials

et al. 2020

293

159

Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart devices connected to the Internet. In the wake of disruptive IoT with huge amount and variety of data, Machine Learning (ML) and Deep Learning (DL) mechanisms will play pivotal role to bring intelligence to the IoT networks. Among other aspects, ML and DL can play an essential role in addressing the challenges of resource management in large-scale IoT networks. In this article, we conduct a systematic and in-depth survey of the ML-and DL-based resource management mechanisms in cellular wireless and IoT networks. We start with the challenges of resource management in cellular IoT and low-power IoT networks, review the traditional resource management mechanisms for IoT networks, and motivate the use of ML and DL techniques for resource management in these networks. Then, we provide a comprehensive survey of the existing ML-and DL-based resource allocation techniques in wireless IoT networks and also techniques specifically designed for HetNets, MIMO and D2D communications, and NOMA networks. To this end, we also identify the future research directions in using ML and DL for resource allocation and management in IoT networks.

Section: Mobile Iot Networkmentioning

confidence: 99%

Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges

Hassan

IEEE Commun. Surv. Tutorials

et al. 2020

293

159

“…This is considered to be a special purpose solution because it is designed for only mobile nodes in the IoT environment. Furthermore, it did not have a powerful testbed to prove the research claim [26]. Suresh et al proposed a theoretical technique to decrease the energy consumption of sensor nodes in the IoT environment.…”

Section: Related Workmentioning

confidence: 99%

EMS: An Energy Management Scheme for Green IoT Environments

2020

The Internet of Things (IoT) has important applications in all aspects of our lives in areas such as business, military, security, and health. It is known that most IoT node designs are energy constrained. Therefore, maintaining an ideal energy consumption rate has become one of the most important challenges in the IoT research field. In this paper, an IoT Energy Management Scheme (EMS) is proposed. In this system, heterogeneous types of energy-constrained nodes are considered. The proposed EMS comprises three strategies. The first strategy minimizes the volume of data that may be transmitted through the IoT environment. The second strategy schedules the work of the critical energy IoT nodes. The third strategy provides a fault tolerance scenario that can be applied to address inevitable energy problems faced by IoT nodes. Finally, to test the proposed EMS, the NS2 network simulator is used to construct an intensive simulation of the IoT environment. The simulation results proved that the proposed EMS outperformed the traditional IoT system with respect to the following performance metrics: energy consumption rate, number of failed nodes due to energy loss, throughput, and network lifetime.

“…A group of researchers design a smart energy efficient gateway for internet of mobile things. The power consumption for the design system is high for high frequency operation of GHz frequencies and the data rate is limited to 10 Gbps [3]. A research was conducted earlier to demonstrate an energy-efficient 1G-EPON for 1 Gbps.…”

Section: Introductionmentioning

confidence: 99%

Low Power Design of 40 Gigabit Ethernet Media Access Controller Using Hyper Transport Protocol IO Standard

Das¹,

Abdullah²,

Pandey³

2019

SSURJ

Nowadays, the low power design requirement forthe communication equipment is becoming essential for greencommunication systems. The Ethernet Media Access Controller(EMAC) is an important source interfacing the physical devices.However, the high-speed data operation consumes an enormouspower. This limits the performance of existing Ethernet MediaAccess Controllers in real-time. In this work, a novel low powerdesign of 40G EMAC is developed using Hyper TransportProtocol (HTP) IO standard technique. The designed 40G EMACis developed using Xilinx and tested for high frequencies of 5THz, 10 THz, and 15 THz. The developed 40G EMAC using HTPIO standard is consuming less power for THz frequencies. It isalso demonstrated that 70% power reduction is archived for5THz, and for 10 THz and 15 THz, 69% and 68/% powerreduction is attained respectively for 40G HTP based EMAC.The developed EMAC can be used in existing communicationsystem in order to make the green networking.