Using Traffic Diversities for Scheduling Wireless Interfaces for Energy Harvesting in Wireless Devices

Author(s):  
Constandinos X. Mavromoustakis ◽  
Christos Dimitriou ◽  
George Mastorakis ◽  
Athina Bourdena ◽  
Evangelos Pallis
2018 ◽  
Vol 33 (12) ◽  
pp. 10308-10316 ◽  
Author(s):  
Alireza Abasian ◽  
Ahmadreza Tabesh ◽  
Abolghasem Zeidaabadi Nezhad ◽  
Nasrin Rezaei-Hosseinabadi

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3010 ◽  
Author(s):  
Yu Luo ◽  
Lina Pu ◽  
Guodong Wang ◽  
Yanxiao Zhao

Radio frequency (RF) based wireless power transfer provides an attractive solution to extend the lifetime of power-constrained wireless sensor networks. Through harvesting RF energy from surrounding environments or dedicated energy sources, low-power wireless devices can be self-sustaining and environment-friendly. These features make the RF energy harvesting wireless communication (RF-EHWC) technique attractive to a wide range of applications. The objective of this article is to investigate the latest research activities on the practical RF-EHWC design. The distribution of RF energy in the real environment, the hardware design of RF-EHWC devices and the practical issues in the implementation of RF-EHWC networks are discussed. At the end of this article, we introduce several interesting applications that exploit the RF-EHWC technology to provide smart healthcare services for animals, wirelessly charge the wearable devices, and implement 5G-assisted RF-EHWC.


Author(s):  
E M Yeatman

Energy harvesting — the extraction of energy from the local environment for conversion to electrical power — is of particular interest for low power wireless devices such as body or machine mounted sensors. Motion and vibration are a potential energy source, and can be exploited by inertial devices, which derive electrical power by the damping of the relative movement of a proof mass mounted in a frame attached to the moving host. Inertial devices using linear motion of the proof mass, which have been extensively studied and developed, have a maximum power output limited by the internal travel range of the proof mass. In the current paper, the potential power of devices using rotating proof masses, powered by linear or rotational host motion, is analysed. Two new operation modes are introduced: rotationally resonant devices, and devices driven by continuous rotation. In each case the maximum achievable power densities are estimated, and these are compared with equivalent expressions for devices with linear proof mass motion where appropriate. The possibility of using actively driven, gyroscopic structures is then introduced, and the potential power of such devices is considered. By avoiding the linear displacement limit and the limited mass of conventional devices, it is shown that increases in obtainable power are possible if parasitic damping is minimized, particularly for cases of low linear source amplitude. Finally, issues of implementation are discussed, with an emphasis on microengineered devices.


Author(s):  
Pankaj Agrawal ◽  
Akhilesh Tiwari ◽  
Uday Pratap Singh

Due to growing demand of energy, green technologies are highly attractive among researchers because of their non-conventional nature. Energy harvesting is one of their best parts. Very low cost of maintenance and non-polluting nature are major reasons behind their growing demand. However, for ultra-low power applications, such as in wireless sensor devices, the energy scavenging from RF signal is another alternative. In the last few years, a great interest has been seen in microwave power scavenging for charging wireless devices. This chapter presents a RF energy harvesting circuit with tuned π-matching network that resonates at desired incident RF frequency to boost these signals. Various computer intelligent techniques have been used to optimize parameters value of matching circuit. The designed circuit has been analyzed for input power range from -30 dBm to 0 dBm. Approximately 80% maximum PCE is achieved at RF input of 0 dBm with 4 KΩ load. It is also demonstrated that better output power is produced for power range -15 dBm to 0 dBm at higher load values.


2021 ◽  
Author(s):  
Mohammad Kamrul Kamrul Hasan ◽  
Md. Monwar Jahan Chowdhury ◽  
Shakil Ahmed ◽  
Saifur Rahman Sabuj ◽  
Jamel Nibhen ◽  
...  

Abstract The energy efficiency and spectrum shortage problem of wireless devices has become a concern for researchers worldwide as the number of wireless devices increases at an unparalleled speed. Many new solutions have been proposed to extend mobile devices' battery life, such as wireless energy harvesting from traditional radio frequency signals to design new smart battery chips. This paper considers a cognitive radio network model where primary users have their specific licensed band, and secondary users equipped with necessary hardware required for energy harvesting can use the licensed band of the primary user by smart sensing capability. First, the expression of outage probability is theoretically derived for uplink and downlink scenarios. Moreover, maximum energy efficiency for both uplink and downlink in the cognitive radio network model subject to interference and noise is investigated here. The theoretical analysis is then evaluated. It has been observed that outage probability improves low harvested power in the downlink scenario and high harvested power in the uplink scenario. Finally, the result signifies that energy efficiency is improved using optimum power for uplink and downlink scenarios.


Author(s):  
Mohammad Kamrul Hasan ◽  
Md. Monwar J. Chowdhury ◽  
Shakil Ahmed ◽  
Saifur R. Sabuj ◽  
Jamel Nibhen ◽  
...  

AbstractWireless devices’ energy efficiency and spectrum shortage problem has become a key concern worldwide as the number of wireless devices increases at an unparalleled speed. Wireless energy harvesting technique from traditional radio frequency signals is suitable for extending mobile devices’ battery life. This paper investigates a cognitive radio network model where primary users have their specific licensed band, and secondary users equipped with necessary hardware required for energy harvesting can use the licensed band of the primary user by smart sensing capability. Analytical expressions for considered network metrics, namely data rate, outage probability, and energy efficiency, are derived for uplink and downlink scenarios. In addition, optimal transmission power and energy harvesting power are derived for maximum energy efficiency in downlink and uplink scenarios. Numerical results show that outage probability improves high transmission power in the downlink scenario and high harvested power in the uplink scenario. Finally, the result shows that energy efficiency improves using optimum transmission power and energy harvesting power for downlink and uplink scenarios.


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