Hybrid solar and radio frequency (RF) energy harvesting

Jadhav, Shruti B.; Lambor, Shilpa M.

doi:10.1109/icpcsi.2017.8392060

Cited by 13 publications

(9 citation statements)

References 12 publications

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“…As mobile chargers cannot travel around all nodes to transmit energy in large-scale WSNs, techniques to compensate for this based on energy harvesting technology are being studied. Jadhav and Lambor [34] proposed a hybrid device design that simultaneously utilizes a solar panel for energy harvesting and an antenna for receiving energy via WPT with the RF method. Wang et al [35] proposed a method for using WPT in an RF method in combination with energy harvesting in a network composed of energy harvesting sensor nodes and general battery-based nodes.…”

Section: Related Work a Wpt For Wsnsmentioning

confidence: 99%

Adaptive Data Collection Using UAV With Wireless Power Transfer for Wireless Rechargeable Sensor Networks

Yoon

Noh

2022

IEEE Access

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Wireless sensor networks (WSNs) are used to collect large amounts of data over a wide area. However, the sensor nodes used in WSNs have a short lifespan because they are generally battery-operated. Research is actively underway to increase the lifespan of WSNs via techniques such as energy harvesting and wireless power transfer (WPT). This study proposes a scheme for clustering and adjusting the WSN data collection rate to alleviate the hotspot problem and improve network connectivity. The proposed scheme is targeted at WSNs in which the sensor nodes harvest solar energy. In addition, an unmanned aerial vehicle (UAV) traverses along a given path and delivers energy to sensor nodes using WPT, while collecting data as a sink node. In this scheme, the number of cluster heads is determined by considering the number of nodes at each hop distance and the maximum amount of data that can be transferred with the available energy. Further, sensor nodes limit the amount of data they collect to reduce the relay load on intermediate nodes.To achieve this, nodes consider the amount of data transferred by parent nodes, especially nodes in the hotspot, and the number of child nodes. The sink node traverses along a given path, and collects the data accumulated in the cluster head while supplying its remaining energy to the cluster head. The amount of energy it transfers is determined by considering the number of cluster heads. Consequently, nodes in the hotspot are prevented from becoming blacked out from a lack of energy, and the energy harvesting efficiency is increased. Simulation results indicate that the proposed scheme reduces the number of blackout nodes in the hotspot areas near cluster heads. Furthermore, the data collection and monitoring performance increases with the increase in network connectivity.

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Section: Related Work a Wpt For Wsnsmentioning

confidence: 99%

Adaptive Data Collection Using UAV With Wireless Power Transfer for Wireless Rechargeable Sensor Networks

Yoon

Noh

2022

IEEE Access

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“…A 56mW DC power is produced when the solar cell was illuminated with 100w/cm2 solar irradiance and an power increase of 15% was recorded around 0.85Ghz and 1.85 Ghz when illuminated by a microwave signal of 20 dBm. Jadhav et al, (2017). Propose a design of hybrid circuit energy to harvest energy using both solar cell and antenna to tap the energy from surrounding energy resources.…”

Section: 4voltage Doublersmentioning

confidence: 99%

Cross Layered Design and RF Energy Harvesting Techniques: A Survey

Kumar¹,

Biradar²

2020

IJERT

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In recent years, energy optimization is one of the the major concern for research community while designing an Self Sustainable Energy Efficient Wireless Sensor Networks. In this paper, we review the different cross-layer architectures based on cross layer design and the available RF energy-harvesting mechanisms. In the cross-layer design, different parameters are exchanged between the adjacent layers to ensure efficient use of energy. Energy scavenging is the process of harvesting energy from the ambient sources (e.g., solar power, RF energy ,thermal energy, wind energy, salinity gradients), stored in storage devices like batteries, and is used to power up small wireless electronic devices and wireless sensor networks.

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“…In large-scale (or difficult-to-access) WSNs, mobile chargers cannot transmit energy to all nodes by visiting them individually, so schemes using a combination of energy-harvesting and WPT are also being actively studied to compensate for this problem. Shruti et al [31] proposed a device design using both solar cells and WPT. Har [32] proposed a method to supply energy from a RF mobile charger to energy-harvesting nodes through energy trading between nodes.…”

Section: Related Workmentioning

confidence: 99%

Efficient Energy Supply Using Mobile Charger for Solar-Powered Wireless Sensor Networks

Yoon

2019

Sensors

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An energy-harvesting wireless sensor network mitigates the energy shortage problems of existing battery-based wireless sensors; however, its hotspot area sensor nodes still experience 3 blackouts, thereby reducing network connectivity. Techniques that transfer energy directly to sensor nodes using wireless power transfer (WPT) have been studied in recent years to address this issue. In this paper, we propose a technique that uses a drone (quadcopter), which is a type of unmanned aerial vehicle (UAV), as a mobile sink. The drone selects and manages anchor nodes that aggregate data temporarily, collects data by visiting the anchor nodes to mitigate the hotspot issue, and then prevents blackouts by supplying energy to low-energy nodes, thereby improving network connectivity. The anchor nodes are carefully selected after considering the energy capacity of the drone, the size of the network, the amount of collected data, and the energy consumed by the nodes to increase the network’s energy efficiency. Furthermore, energy is transferred from the drone to the anchor nodes to support their energy consumption. In our study, this method reduced the blackouts of sensor nodes, including anchor nodes, in hotspot regions, and increased network connectivity, thereby improving the amount of data gathered by the mobile sink.

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Hybrid solar and radio frequency (RF) energy harvesting

Cited by 13 publications

References 12 publications

Adaptive Data Collection Using UAV With Wireless Power Transfer for Wireless Rechargeable Sensor Networks

Adaptive Data Collection Using UAV With Wireless Power Transfer for Wireless Rechargeable Sensor Networks

Cross Layered Design and RF Energy Harvesting Techniques: A Survey

Efficient Energy Supply Using Mobile Charger for Solar-Powered Wireless Sensor Networks

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