• Title/Summary/Keyword: Wireless energy harvesting

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Electric Field Energy Harvesting Powered Wireless Sensors for Smart Grid

  • Chang, Keun-Su;Kang, Sung-Muk;Park, Kyung-Jin;Shin, Seung-Hwan;Kim, Hyeong-Seok;Kim, Ho-Seong
    • Journal of Electrical Engineering and Technology
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    • v.7 no.1
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    • pp.75-80
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    • 2012
  • In this paper, a new energy harvesting technology using stray electric field of an electric power line is presented. It is found that energy can be harvested and stored in the storage capacitor that is connected to a cylindrical aluminum foil wrapped around a commercial insulated 220 V power line. The average current flowing into 47 ${\mu}F$ storage capacitor is about 4.53 ${\mu}A$ with 60 cm long cylindrical aluminum foil, and it is possible to operate wireless sensor node to transmit RF data every 42 seconds. The harvested average power is about 47 ${\mu}W$ in this case. Since the energy can be harvested without removing insulating sheath, it is believed that the proposed harvesting technology can be applied to power the sensor nodes in wireless ubiquitous sensor network and smart grid system.

Wireless Energy-Harvesting Cognitive Radio with Feature Detectors

  • Gao, Yan;Chen, Yunfei;Xie, Zhibin;Hu, Guobing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.10
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    • pp.4625-4641
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    • 2016
  • The performances of two commonly used feature detectors for wireless energy-harvesting cognitive radio systems are compared with the energy detector under energy causality and collision constraints. The optimal sensing duration is obtained by analyzing the effect of the detection threshold on the average throughput and collision probability. Numerical examples show that the covariance detector has the optimal sensing duration depending on an appropriate choice of the detection threshold, but no optimal sensing duration exists for the ratio of average energy to minimum eigenvalue detector.

Joint Resource Allocation Scheme for OFDM Wireless-Powered Cooperative Communication Networks

  • Liang, Guangjun;Zhu, Qi;Xin, Jianfang;Pan, Ziyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.3
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    • pp.1357-1372
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    • 2017
  • Energy harvesting techniques, particularly radio frequency energy harvesting (RF-EH) techniques, which are known to provide feasible solutions to enhance the performance of energy constrained wireless communication systems, have gained increasing attention. In this paper, we consider a wireless-powered cooperative communication network (WPCCN) for transferring energy in the downlink and forwarding signals in the uplink. The objective is to maximize the average transmission rate of the system, subject to the total network power constraint. We formulate such a problem as a form of wireless energy transmission based on resource allocation that searches for the joint subcarrier pairing and the time and power allocation, and this can be solved by using a dual approach. Simulation results show that the proposed joint optimal scheme can efficiently improve system performance with an increase in the number of subcarriers and relays.

Using Range Extension Cooperative Transmission in Energy Harvesting Wireless Sensor Networks

  • Jung, Jin-Woo;Ingram, Mary Ann
    • Journal of Communications and Networks
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    • v.14 no.2
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    • pp.169-178
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    • 2012
  • In this paper, we study the advantages of using range extension cooperative transmission (CT) in multi-hop energy harvesting wireless sensor networks (EH-WSNs) from the network layer perspective. EH-WSNs rely on harvested energy, and therefore, if a required service is energy-intensive, the network may not be able to support the service successfully. We show that CT networks that utilize both range extension CT and non-CT routing can successfully support services that cannot be supported by non-CT networks. For a two-hop toy network, we show that range extension CT can provide better services than non-CT. Then, we provide a method of determining the supportable services that can be achieved by using optimal non-CT and CT routing protocols for EH-WSNs. Using our method and network simulations, we justify our claim that CT networks can provide better services than nonCT networks in EH-WSNs.

Study on the Design Method of the Energy Harvesting Smart Sensor for Implementing IoT Service (IoT 서비스 구현을 위한 에너지 하베스팅 Smart Sensor 설계 방안 연구)

  • Jang, Ho-Deok
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.1
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    • pp.89-94
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    • 2018
  • This paper investigated the design method of the smart sensor for implementing IoT (Internet of Things) service. The power supply of sensor consistently acquisting data is based on the energy harvesting technology and designed with piezoelectric transducer not affected by surrounding circumstances. The wireless communication interface for the transmission of data is designed with BLE (Bluetooth Low Energy). BLE is highly adequate wireless communication technology for low power consumption and short distance wireless communication. The main application of BLE is beacon whose usage range is extended from O2O (Online to Offline) service, navigator based on indoor positioning technology, and anti-theft/lost child prevention service to mobile game. This paper studied the method to extend wireless coverage for complementing the short wireless transmission distance of BLE. The wireless sensor network based on CATV network is proposed for the easy construction of BLE sensor network and extended wireless coverage.

Energy Harvesting System for Underground Facility Sensor (지하시설물용 센서 네트워크를 위한 에너지 획득 장치)

  • Kwon, Young-Min;Lee, Hyung-Su
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.136-137
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    • 2009
  • In this paper, we introduce UFSN(Underground Facility Sensor Network) in order to build the intelligent management system for the underground facility and drainage in convergence with ubiquitous technologies and propose the energy harvesting system for UFSN.

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An Adaptive Scheduling Scheme for Cooperative Energy Harvesting Networks

  • Ammar, Ahmed;Reynolds, Daryl
    • Journal of Communications and Networks
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    • v.17 no.3
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    • pp.256-264
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    • 2015
  • Energy harvesting devices have been proposed for sensor networking applications where batteries cannot be replaced, and cooperative communication schemes have been used to increase energy efficiency for wireless systems. Here, we develop transmission scheduling schemes for multi-terminal cooperative energy harvesting networks that maximize the packet delivery ratio, i.e., the probability that an event is reported successfully. We see that the proposed scheme provides virtually the same performance as the state-of-the-art threshold-based scheme, but does not require auxiliary parameter optimization. The proposed scheme also permits extensions to multiple cooperating nodes and sources, and it can be modified to accommodate fairness constraints.

Optimal Harvest-Use-Store Design for Delay-Constrained Energy Harvesting Wireless Communications

  • Yuan, Fangchao;Jin, Shi;Wong, Kai-Kit;Zhang, Q.T.;Zhu, Hongbo
    • Journal of Communications and Networks
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    • v.18 no.6
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    • pp.902-912
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    • 2016
  • Recent advances in energy harvesting (EH) technology have motivated the adoption of rechargeable mobile devices for communications. In this paper, we consider a point-to-point (P2P) wireless communication system in which an EH transmitter with a non-ideal rechargeable battery is required to send a given fixed number of bits to the receiver before they expire according to a preset delay constraint. Due to the possible energy loss in the storage process, the harvest-use-and-store (HUS) architecture is adopted. We characterize the properties of the optimal solutions, for additive white Gaussian channels (AWGNs) and then block-fading channels, that maximize the energy efficiency (i.e., battery residual) subject to a given rate requirement. Interestingly, it is shown that the optimal solution has a water-filling interpretation with double thresholds and that both thresholds are monotonic. Based on this, we investigate the optimal double-threshold based allocation policy and devise an algorithm to achieve the solution. Numerical results are provided to validate the theoretical analysis and to compare the optimal solutions with existing schemes.

A Study on Energy Harvesting Wireless Sensor Networks

  • Sharma, Pradip Kumar;Moon, Seo Yeon;Park, Jong Hyuk
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.199-201
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    • 2016
  • Wireless sensor networks offer an attractive solution to several environments, security, and process monitoring problems. However, one barrier for their full adoption is the need to provide electrical power over extended periods of time without the need of dedicated wiring. Energy harvesting offers good solutions to this problem in several applications. This paper surveys the energy requirements of typical sensor network nodes and summarizes the future research work in the field of energy harvesting resource allocation in wireless sensor networks.

Energy harvesting and power management of wireless sensors for structural control applications in civil engineering

  • Casciati, Sara;Faravelli, Lucia;Chen, Zhicong
    • Smart Structures and Systems
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    • v.10 no.3
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    • pp.299-312
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    • 2012
  • The authors' research efforts recently led to the development of a customized wireless control unit which receives the real-time feedbacks from the sensors, and elaborates the consequent control signal to drive the actuator(s). The controller is wireless in performing the data transmission task, i.e., it receives the signals from the sensors without the need of installing any analogue cable connection between them, but it is powered by wire. The actuator also needs to be powered by wire. In this framework, the design of a power management unit is of interest only for the wireless sensor stations, and it should be adaptable to different kind of sensor requirements in terms of voltage and power consumption. In the present paper, the power management efficiency is optimized by taking into consideration three different kinds of accelerometers, a load cell, and a non-contact laser displacement sensor. The required voltages are assumed to be provided by a power harvesting solution where the energy is stored into a capacitor.