scholarly journals RF Energy Harvesting IoT System for Museum Ambience Control with Deep Learning

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4465 ◽  
Author(s):  
Nermeen A. Eltresy ◽  
Osama M. Dardeer ◽  
Awab Al-Habal ◽  
Esraa Elhariri ◽  
Ali H. Hassan ◽  
...  

Museum contents are vulnerable to bad ambience conditions and human vandalization. Preserving the contents of museums is a duty towards humanity. In this paper, we develop an Internet of Things (IoT)-based system for museum monitoring and control. The developed system does not only autonomously set the museum ambience to levels that preserve the health of the artifacts and provide alarms upon intended or unintended vandalization attempts, but also allows for remote ambience control through authorized Internet-enabled devices. A key differentiating aspect of the proposed system is the use of always-on and power-hungry sensors for comprehensive and precise museum monitoring, while being powered by harvesting the Radio Frequency (RF) energy freely available within the museum. This contrasts with technologies proposed in the literature, which use RF energy harvesting to power simple IoT sensing devices. We use rectenna arrays that collect RF energy and convert it to electric power to prolong the lifetime of the sensor nodes. Another important feature of the proposed system is the use of deep learning to find daily trends in the collected environment data. Accordingly, the museum ambience is further optimized, and the system becomes more resilient to faults in the sensed data.

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3078 ◽  
Author(s):  
Hilal Bello ◽  
Zeng Xiaoping ◽  
Rosdiadee Nordin ◽  
Jian Xin

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.


2018 ◽  
Vol 28 (02) ◽  
pp. 1950034 ◽  
Author(s):  
Asmita Rajawat ◽  
P. K. Singhal

Wireless sensor networks (WSN) have observed an exponential amount of growth in the recent past. The energy associated with the sensor nodes is limited which is a major bottleneck for the WSN technologies. The sensor nodes in WSN need to be continuously charged and thus an efficient RF energy harvesting needs to be explored. In the proposed design, a dual-band rectifier antenna for RF energy harvesting has been developed for 900 MHz and 2.45 GHz frequencies as RF energy is mainly available in the range of 900 MHz–2.45 GHz. The antenna proposed is microstrip U slot antenna with S11 parameter below −10 dB at 2.45 GHz and 0.8 GHz with a gain of 5.1 dBi and 10.1 dBi at 900 MHz and 2.45 GHz, respectively. The circuit for the rectifier uses Schottky Diode HSMS-285C for the purpose of rectification. The rectifier circuit used is a Greinacher Voltage Multiplier. Impedance Matching of the rectifier has been processed out to improve the performance of the circuit. Simulations of rectifier have been done on Advanced Design System (ADS) Software. The conversion efficiency at 900 MHz and 2.45 GHz is found to be 78.7% and 51.768%, respectively. The proposed design can find its uses in large number of energy harvesting applications under wireless power transmission such as powering of Wireless Sensor Nodes.


Next generations energy sources of Radio frequency [3MHz-300GHz] are the (QoS).The QoS is going to presents a on the progress of RF energy harvesting techniques. RF based wireless charging methodology are presenting the key to overcome the current issues in harvesting system Radio wave creates the radio frequency (RF) which is one of the sources of energy. The combination of electric and magnetic fields moving together in space forms the electromagnetic energy. The region in which these waves are found is called an electromagnetic field. In this modern electronic era radio waves can be used for many applications in according to the user requirements. Electromagnetic energy can travel through wireless medium so it can be used in a wide range of wireless applications.


2016 ◽  
Vol 4 (1) ◽  
pp. 16-19
Author(s):  
Garima Bajpai ◽  
Umesh Barandiya

Radio frequency (RF) energy transfer and harvesting techniques have recently become alternative methods to power the next generation wireless networks. The RF energy harvesting system was designed to convert the RF energy available in the atmosphere into useful electrical energy which can be used to charge a battery of capacity 50 uAh. This battery requires a voltage in the range of 4- 4.2V to get itself charged. In this paper we have designed and simulated a Radio Frequency (RF) energy harvesting circuit which utilized available RF energy with the voltage boosting circuit. Simulation results represents that by using matching network of high-Q, output voltage of harvesting circuit increases and it becomes more sensitive with respect to input signal frequency and value of elements used.


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