Powering-up Wireless Sensor Nodes Utilizing Rechargeable Batteries and an Electromagnetic Vibration Energy  Harvesting System

Chamanian, Salar; Baghaee, Sajjad; Uluşan, Hasan; Zorlu, Özge; Külah, Haluk; Uysal-Biyikoğlu, Elif

doi:10.3390/en7106323

Cited by 28 publications

(14 citation statements)

References 26 publications

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“…38 We choose a very small 1 F EATON HV series SC 39 and 1 F EFL1K0AF39 TFB, 40 both providing 3 V supply voltage and maximum storage capacity of 1 and 3 mWh, respectively. In the simulation, we consider realistic parameters of MICAz wireless sensor node 37 which is powered by vibration energy.…”

Section: Numerical Results and Cost-effective Hybrid Esu Designmentioning

confidence: 99%

“…In the simulation, we consider realistic parameters of MICAz wireless sensor node 37 which is powered by vibration energy. 38 We choose a very small 1 F EATON HV series SC 39 and 1 F EFL1K0AF39 TFB, 40 both providing 3 V supply voltage and maximum storage capacity of 1 and 3 mWh, respectively. The SC has 10 μA leakage current.…”

Section: Numerical Results and Cost-effective Hybrid Esu Designmentioning

confidence: 99%

“…The SC is charged by the vibration energy harvester which gives charging current 65 μA for 0.4 g peak acceleration with 7.4 Hz resonant frequency. 38 Thus, average harvested energy in a time slot is ζ u = .065 × 10 −3 × 3 × 20 × 10 3 = 3.9 mJ. In our DTMC model, the vibration energy is quantized in two states.…”

Section: Numerical Results and Cost-effective Hybrid Esu Designmentioning

confidence: 99%

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Performance evaluation of low‐power wireless sensor node with hybrid energy storage

Haldar

Hossain

Panda

2018

Int J Communication

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In this paper, we evaluate the performance of low-power energy-harvesting wireless sensor node (SN) which has hybrid energy storage unit (ESU) for monitoring applications. This hybrid ESU has super capacitor (SC) as well as thin film battery (TFB) for energy storage. After the deployment of SN, temporal energy outage (TEO) occurs when the stored energy in ESU falls to a minimum level due to uncertain energy-harvesting process and leakage of energy, rendering it unable to transmit information to base station. In this paper, we estimate the duration to reach TEO state which is an important parameter for evaluating the performance of the hybrid ESU. The proposed model considers variation of leakage energy in SC. We also determine design perspectives of hybrid ESU for different range of performance parameters to maximize the performance criteria. Further, given total cost constraints, we determine the SC and TFB capacity that optimizes the performance criteria. The analytical results are validated by Monte Carlo simulation using MATLAB. The estimated TEO duration can ensure precautions in monitoring applications. KEYWORDS energy harvesting, energy outage, hybrid energy storage, super capacitor, thin film battery, wireless sensor node the available energy varies due to fluctuating environment conditions. Hence, SN is unable to harvest energy continuously from ambient sources due to uncertain EH process leading to energy scarcity in ESU. For these reasons, temporal energy outage (TEO) occurs when the EH SN runs out of energy for a while until it harvests energy again. In TEO condition, the SN becomes inactive and thereby fails to achieve its objective of sending information to BS. In control and monitor applications, BS receives data from SNs and applies the control. Thereafter, BS fails to apply appropriate control when TEO occurs in the system. Consequently, the loss of information significantly affects the quality of service (QoS) of the EH wireless sensor network. A prior assessment of TEO duration would help avert information loss. TEO duration refers to the interval of time the EH SN remains active using harvested energy as well as the stored ESU energy before going to TEO condition.The difficulties arise when we estimate TEO duration of EH SN with hybrid energy storage unit (ESU). Mostly, the hybrid ESU unit comprises of either a thin film battery (TFB) or a super capacitor (SC). 12-14 SC has more rechargeable cycle compared to TFB enabling SNs to sustain for a longer lifetime. However, SC leads to a faster battery drain out since it suffers from more energy leakage compared to TFB. Because of these challenges, hybrid ESU is a prime concern and is also used in the literature 15,16 for low-power energy-harvested wireless sensor network applications and in Thangaraj et al 17 for aircraft health monitoring applications. In order to estimate the TEO duration of a hybrid ESU of SN, a consistent performance criteria is required that can handle the uncertain harvesting process and volatility of TFB and SC energy storag...

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Section: Numerical Results and Cost-effective Hybrid Esu Designmentioning

confidence: 99%

Section: Numerical Results and Cost-effective Hybrid Esu Designmentioning

confidence: 99%

Section: Numerical Results and Cost-effective Hybrid Esu Designmentioning

confidence: 99%

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Performance evaluation of low‐power wireless sensor node with hybrid energy storage

Haldar

Hossain

Panda

2018

Int J Communication

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“…• Total duration of one cycle is T T otal = T H + T W + T S + T P + T T . • The node is assumed to be "asleep" during the harvesting period, consuming a constant power P Z [14], resulting in an energy consumption of E Z = P Z T H . • The node is assumed to consume a constant E N = E W + E S + E P amount of energy for its nodal operations in each cycle.…”

Section: B Nodal Operation and Communication Modelmentioning

confidence: 99%

Harvesting-Throughput Trade-Off for Wireless-Powered Smart Grid IoT Applications: An Experimental Study

Pehlivanoglu

Özger

Cetinkaya

et al. 2018

2018 IEEE International Conference on Communications (ICC)

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Sensor nodes, one of the most crucial elements of Internet of Things (IoT), sense the environment and send their observations to a remote Access Point (AP). One drawback of sensor nodes in an IoT setting is their limited battery supply. Hereby, energy harvesting (EH) stands as a promising solution to reduce or even completely eliminate lifetime constraints of sensors with exploitation of available resources. In this paper, we propose an electric-field EH (EFEH) method to enable batteryless execution of sensor-based IoT services for Smart Grid (SG) context. For this purpose, for the first time in the literature, harvestable energy through EFEH method is investigated with a transformer room experimental setup. Our experiments reveal that 40 mJ of energy can be harvested in a period of 900 sec with the proposed EFEH method. Building on this energy profile, we define a throughput objective function θ for a "harvest-then-transmit" type system model, to shed light on the harvesting-throughput trade-off specific to IoT-assisted SG applications. Numerical results disclose non-trivial relationships between optimal harvesting period TH , optimal transmission period TT and critical network parameters such as node-AP hop distance, path loss exponent and minimum reporting frequency requirement.

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“…Utilizing energy harvesting systems as main energy sources is turning to be one of the most promising systems for batteryless low-power electronic devices. However, energy harvesting systems can be combined to batteries (or other energy storages) as a solution to reduce the battery's lifetime limitations or to decrease the dependency of battery performance [21,22]. [15,23].…”

Section: Energy Harvestingmentioning

confidence: 99%

Energy Resources in Agriculture and Forestry: How to be Prepared for the Internet of Things (IoT) Revolution

Souza¹,

Baiocchi²

2018

Energy Systems and Environment

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The Internet of Things (IoT) revolution is getting attention of all kinds of enterprises and industries: from the big ones to the startups. From the energy point of view, deploying IoT devices in urban or industrial environments is not a dramatic problem since electrical outlets and chemical batteries are easily available almost everywhere. However, why not tap into natural resources first? The future may bring an Internet of Natural Things (IoNaT). If so, the agricultural and forestry industries will certainly take advantage of such technology. The question will then be how to power the IoNaT. Chemical batteries are not an environment-friendly option in an agricultural field or in a forest. In this chapter, we suggest different and innovative, natural and easily available energy sources and the main processes to harvest them. The use of these natural and revolutionary technologies may ensure that monitored data could be obtained in a sustainable way.

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Powering-up Wireless Sensor Nodes Utilizing Rechargeable Batteries and an Electromagnetic Vibration Energy Harvesting System

Cited by 28 publications

References 26 publications

Performance evaluation of low‐power wireless sensor node with hybrid energy storage

Performance evaluation of low‐power wireless sensor node with hybrid energy storage

Harvesting-Throughput Trade-Off for Wireless-Powered Smart Grid IoT Applications: An Experimental Study

Energy Resources in Agriculture and Forestry: How to be Prepared for the Internet of Things (IoT) Revolution

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