Wireless Power Transfer in Wirelessly Powered Sensor Networks: A Review of Recent Progress

Huda, S. M. Asiful; Arafat, Muhammad Yeasir; Moh, Sangman

doi:10.3390/s22082952

Cited by 39 publications

(18 citation statements)

References 117 publications

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“…The locations of CSs can be fixed [ 45 ] or mobile [ 46 ]. Moreover, they may have multiple charging pads to serve multiple drones simultaneously via wireless power transfer [ 33 , 47 ]. Some designs consider collaboration between public transport, dedicated truck-based drone-enabled delivery, and CSs to execute drone-based delivery mission in remote areas [ 11 , 48 ].…”

Section: Drone Routing Algorithmsmentioning

confidence: 99%

Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security

Raivi

Huda

Arafat

et al. 2023

Sensors

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Recently, owing to the high mobility and low cost of drones, drone-based delivery systems have shown considerable potential for ensuring flexible and reliable parcel delivery. Several crucial design issues must be considered to design such systems, including route planning, payload weight consideration, distance measurement, and customer location. In this paper, we present a survey of emerging drone routing algorithms for drone-based delivery systems, emphasizing three major drone routing aspects: trajectory planning, charging, and security. We focus on practical design considerations to ensure efficient, flexible, and reliable parcel delivery. We first discuss the potential issues arising when designing such systems. Next, we present a novel taxonomy based on the above-mentioned three aspects. We extensively review each algorithm for drone routing in terms of key features and operational characteristics. Furthermore, we compare the algorithms in terms of their main idea, advantages, limitations, and performance aspects. Finally, we present open research challenges to motivate further research in this field. In particular, we focus on the major aspects that researchers and engineers need to consider in order to design effective and reliable drone routing algorithms for drone-based delivery systems.

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Section: Drone Routing Algorithmsmentioning

confidence: 99%

Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security

Raivi

Huda

Arafat

et al. 2023

Sensors

Self Cite

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Section: A Previous Workmentioning

confidence: 99%

“…There have been continuing interest in wireless transmission systems with energy harvesting (EH) relays [16]- [21]. [16] reviewed the recent progress of wireless power transfer applications in WSNs and discussed several important performanceenhancing techniques. [17] and [18] applied power and packet size adaptation to optimize the energy efficiency of wireless transmission systems with EH relays.…”

Section: A Previous Workmentioning

confidence: 99%

Ultragreen Relay Transmission With Wireless Power Transfer for Advanced IoT: Session-Specific Analysis and Optimization

Yang

Alouini

2023

IEEE Internet Things J.

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Reliable and energy-efficient wireless transmission is of critical importance to the success of future advanced Internet of Things (IoT). Due to the sporadic nature of IoT transmissions, the energy consumption of the individual IoT transmission session varies dramatically with the instantaneous operating environment as well as the quality of service (QoS) requirements. In this paper, we analyze and design the energyefficient relay transmission systems from an individual data transmission session perspective. Specifically, we consider a dualhop transmission system with a decode-and-forward relay that is solely powered by wireless power transfer from source node. For both time switching and power splitting modes of simultaneous power and information transmission, we analyze and minimize the total energy consumption of the system when transmitting a fixed amount of data, under a piecewise linear energy harvesting (EH) model. Closed-form expressions for optimal transmission parameters are obtained with and without the consideration of latency constraint. Through selected numerical results, we illustrate various design tradeoffs between energy consumption and latency constraint. We show that with optimal transmission parameters, relay transmission with energy transfer can achieve considerable energy saving compared to direct transmission when the direct link quality is poor and the latency constraint is not stringent. We also show that with optimized parameters, power splitting mode leads to lower energy consumption and smaller transmission duration than time switching mode, at the cost of higher implementation complexity.

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“…Regarding the advantages and disadvantages of each EH solution, the most suitable to be used for wireless sensors embedded in an air cavity or a reinforced concrete cavity is the RF EH or WPT solution. Recent progress in the field of WPT for wirelessly powered sensor networks is presented [22]. It has proved its efficiency through some developments reported in [23,24].…”

Section: Lifetime Issues: Wireless Power Transfermentioning

confidence: 99%

A Multifunctional Battery-Free Bluetooth Low Energy Wireless Sensor Node Remotely Powered by Electromagnetic Wireless Power Transfer in Far-Field

Sidibe

Loubet

Takacs

et al. 2022

Sensors

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This paper presents a multifunctional battery-free wireless sensing node (SN) designed to monitor physical parameters (e.g., temperature, humidity and resistivity) of reinforced concrete. The SN, which is intended to be embedded into a concrete cavity, is autonomous and can be wirelessly powered thanks to the wireless power transmission technique. Once enough energy is stored in a capacitor, the active components (sensor and transceiver) are supplied with the harvested power. The data from the sensor are then wirelessly transmitted via the Bluetooth Low Energy (BLE) technology in broadcasting mode to a device configured as an observer. The feature of energy harvesting (EH) is achieved thanks to an RF-to-DC converter (a rectifier) optimized for a low power input level. It is based on a voltage doubler topology with SMS7630-005LF Schottky diode optimized at −15 dBm input power and a load of 10 kΩ. The harvested DC power is then managed and boosted by a power management unit (PMU). The proposed system has the advantage of presenting two different power management units (PMUs) and two rectifiers working in different European Industrial, Scientific and Medical (ISM) frequency bands (868 MHz and 2.45 GHz) depending on the available power density. The PMU interfaces a storage capacitor to store the harvested power and then power the active components of the sensing node. The low power digital sensor HD2080 is selected to provide accurate humidity and temperature measurements. Resistivity measurement (not reported in this paper) can also be achieved through a current injection on the concrete probes. For wireless communications, the QN9080 system-on-chip (SoC) was chosen as a BLE transceiver thanks to its attractive features: a small package size and extremely low power consumption. For low power consumption, the SN is configured in broadcasting mode. The measured power consumption of the SN in a deep-sleep mode is 946 µJ for four advertising events (spaced at 250 ms maximum) after the functioning of sensors. It also includes voltage offset cancelling functionality for resistivity measurement. Far-field measurement operated in an anechoic chamber with the most efficient PMU (AEM30940) gives a first charging time of 48 s (with an empty capacitor) and recharge duration of 27 s for a complete measurement and data transmission cycle.

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Wireless Power Transfer in Wirelessly Powered Sensor Networks: A Review of Recent Progress

Cited by 39 publications

References 117 publications

Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security

Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security

Ultragreen Relay Transmission With Wireless Power Transfer for Advanced IoT: Session-Specific Analysis and Optimization

A Multifunctional Battery-Free Bluetooth Low Energy Wireless Sensor Node Remotely Powered by Electromagnetic Wireless Power Transfer in Far-Field

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