scholarly journals Directional Multiport Ambient RF Energy Harvesting System for the Internet of Things

2020 ◽  
pp. 1-1
Author(s):  
Shanpu Shen ◽  
Yujie Zhang ◽  
Chi-Yuk Chiu ◽  
Ross Murch
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
The Internet ◽  
Rf Energy Harvesting ◽  
Energy Harvesting System ◽  
Rf Energy ◽  
The Internet Of Things

scholarly journals Advances and Opportunities in Passive Wake-Up Radios with Wireless Energy Harvesting for the Internet of Things Applications

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3078 ◽  
Author(s):  
Hilal Bello ◽  
Zeng Xiaoping ◽  
Rosdiadee Nordin ◽  
Jian Xin
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
The Internet ◽  
Practical Implementation ◽  
Media Access Control ◽  
Rf Energy Harvesting ◽  
Harvesting Technique ◽  
Idle Listening ◽  
Rf Energy ◽  
The Internet Of Things

Wake-up radio is a promising approach to mitigate the problem of idle listening, which incurs additional power consumption for the Internet of Things (IoT) wireless transmission. Radio frequency (RF) energy harvesting technique allows the wake-up radio to remain in a deep sleep and only become active after receiving an external RF signal to ‘wake-up’ the radio, thus eliminating necessary hardware and signal processing to perform idle listening, resulting in higher energy efficiency. This review paper focuses on cross-layer; physical and media access control (PHY and MAC) approaches on passive wake-up radio based on the previous works from the literature. First, an explanation of the circuit design and system architecture of the passive wake-up radios is presented. Afterward, the previous works on RF energy harvesting techniques and the existing passive wake-up radio hardware architectures available in the literature are surveyed and classified. An evaluation of the various MAC protocols utilized for the novel passive wake-up radio technologies is presented. Finally, the paper highlights the potential research opportunities and practical challenges related to the practical implementation of wake-up technology for future IoT applications.

Design of an enhanced RF energy harvesting system for wireless sensors

2013 ◽  
Author(s):  
Ahmed Al-Khayari ◽  
Hamed Al-Khayari ◽  
Sulaiman Al-Nabhani ◽  
Mohammed M. Bait-Suwailam ◽  
Zia Nadir
Keyword(s):  
Energy Harvesting ◽  
Wireless Sensors ◽  
Rf Energy Harvesting ◽  
Energy Harvesting System ◽  
Rf Energy

scholarly journals DESIGN OF RF ENERGY HARVESTING SYSTEM FOR ENERGIZING LOW POWER DEVICES

2012 ◽  
Vol 132 ◽  
pp. 49-69 ◽  
Author(s):  
Norashidah Md. Din ◽  
Chandan Kumar Chakrabarty ◽  
Aima Bin Ismail ◽  
Kavuri Kasi Annapurna Devi ◽  
Wan-Yu Chen
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Power Devices ◽  
Rf Energy Harvesting ◽  
Energy Harvesting System ◽  
Rf Energy

Design architectures for energy harvesting in the Internet of Things

2020 ◽  
Vol 128 ◽  
pp. 109901 ◽  
Author(s):  
Sherali Zeadally ◽  
Faisal Karim Shaikh ◽  
Anum Talpur ◽  
Quan Z. Sheng
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
The Internet ◽  
The Internet Of Things

scholarly journals A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 407 ◽  
Author(s):  
Omar A. Saraereh ◽  
Amer Alsaraira ◽  
Imran Khan ◽  
Bong Jun Choi
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
Thermal Energy ◽  
The Internet ◽  
Healthcare Applications ◽  
Hybrid Energy ◽  
Iot Devices ◽  
Hybrid Energy Harvesting ◽  
Monitoring Devices ◽  
The Internet Of Things

The Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automation to smart homes, healthcare applications are the most critical. Providing reliable connectivity among wearables and other monitoring devices is one of the major tasks of such healthcare networks. The main source of power for such low-powered IoT devices is the batteries, which have a limited lifetime and need to be replaced or recharged periodically. In order to improve their lifecycle, one of the most promising proposals is to harvest energy from the ambient resources in the environment. For this purpose, we designed an energy harvesting protocol that harvests energy from two ambient energy sources, namely radio frequency (RF) at 2.4 GHz and thermal energy. A rectenna is used to harvest RF energy, while the thermoelectric generator (TEG) is employed to harvest human thermal energy. To verify the proposed design, extensive simulations are performed in Green Castalia, which is a framework that is used with the Castalia simulator in OMNeT++. The results show significant improvements in terms of the harvested energy and lifecycle improvement of IoT devices.

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