Energy-autonomous sensing systems using drones

Mitcheson, Paul D.; Boyle, David; Kkelis, George; Yates, David C.; Arteaga, Juan M.; Aldhaher, Samer; Yeatman, Eric M.

doi:10.1109/icsens.2017.8234092

Cited by 31 publications

(27 citation statements)

References 10 publications

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“…T HIS paper extends work on developing communications between unmanned aerial vehicles and wireless sensors presented in [1], and contributes to the development of hybrid data and wireless power transfer systems [2]. Sensing systems incorporating unmanned aerial vehicles (UAVs) have the potential to enable a host of hitherto impractical monitoring applications exploiting wireless sensors in remote and extreme environments.…”

Section: Introductionmentioning

confidence: 84%

Efficient and Reliable Aerial Communication With Wireless Sensors

Qin

Boyle

Yeatman

2019

IEEE Internet Things J.

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This paper describes the design, implementation and evaluation of a first of its kind cross-layer protocol for wireless communication between flying agents and terrestrial wireless sensors. The protocol is comprised of 3 layers: a new application layer built upon a modified implementation of ContikiMAC over the IEEE 802.15.4 2.4 GHz physical layer. Experimental evaluation shows the protocol to have excellent energy efficiency, low latency and high reliability-approaching 100% for certain parameter settings and operational conditions. The effects of speed, altitude and direction of approach are also experimentally evaluated, demonstrating that it is of critical importance to take these into account when planning mobile aerial data collection campaigns.

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Section: Introductionmentioning

confidence: 84%

Efficient and Reliable Aerial Communication With Wireless Sensors

Qin

Boyle

Yeatman

2019

IEEE Internet Things J.

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“…In our deployment, ATWR is performed in M ode(3) (see Table 2) to improve the maximum coverage up to 100 m, whereas the data transfer needs to be as fast as possible, thus the DW1000 is configured to M ode(2) featuring a baudrate r 2 of 6.8 Mbps. Payload throughput was extensively evaluated during in-field experiments, where the average payload throughput of 5.988 Mbps was achieved for a packet size of 1 kB and M ode (2). In the worst case, to upload the entire contents of the flash memory (256 MB), the time taken was 43 s. In this case, packet loss is negligible as the drone is stationary and the distance between devices is only a few centimetres.…”

Section: Atwr Ranging Protocol and Data Transfermentioning

confidence: 99%

“…Recent advances integrating inexpensive unmanned aerial vehicle (UAV), or drone, platforms with in situ wireless sensors, where the former is responsible for both data collection and energy buffer replenishment of the latter, can pave the way to delivering long-lasting monitoring systems in remote and extreme environments [2]. Under such circumstances, it is assumed that drones may be deployed from a station that has an internet connection and the ability to recharge the drone itself, to service a sensing field that may span many square kilometres.…”

Section: Introductionmentioning

confidence: 99%

A Flexible, Low-Power Platform for UAV-Based Data Collection From Remote Sensors

et al. 2020

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This paper presents the design and characterisation of a new low-power hardware platform to integrate unmanned aerial vehicle and wireless sensor technologies. In combination, these technologies can overcome data collection and maintenance problems of in situ monitoring in remote and extreme environments. Precision localisation in support of maximum efficiency mid-range inductive power transfer when recharging devices and increased throughput between drone and device are needed for data intensive monitoring applications, and to balance proximity time for devices powered by supercapacitors that recharge in seconds. The platform described in this paper incorporates ultra-wideband technology to achieve highperformance ranging and high data throughput. It enables the development of a new localisation system that is experimentally shown to improve accuracy by around two orders of magnitude to 10 cm with respect to GNSS and achieves almost 6 Mbps throughput in both lab and field conditions. These results are supported by extensive modelling and analysis. The platform is designed for application flexibility, and therefore includes a wide range of sensors and expansion possibilities, with source code for two applications made immediately available as part of a open source project to support research and development in this new area.

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“…In recent years, unmanned aerial vehicles (UAVs) have played a critical role in various technical fields, such as warfare systems, security and surveillance, structural health monitoring, unmanned delivery, agricultural applications, and communication applications [1][2][3][4][5]. Typically, drones have been used widely more than ever in a variety of industries, with the increasing demand for drone-based sensors and radars, drone-based aerial base stations, autonomous drones for emergency response, and so on [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Compact Switched-Beam Array Antenna with a Butler Matrix and a Folded Ground Structure

Kim

Dong

et al. 2019

Electronics

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A compact switched-beam array antenna, based on a switched Butler matrix with four folded ground antennas, is presented for unmanned aerial vehicle (UAV) applications. The folded ground structure, including a slotted patch radiator surrounded by multiple air-gapped ground layers, is adopted to maximize compactness. The extra ground layers provide extra capacitive coupling around the patch antenna, resulting in a down-shift of resonant frequency and a reduction in the antenna size. Also, to optimize aerial operation with a wider beam coverage, the 1 × 4 array is integrated with a switched Butler matrix controlled by a microcontroller unit (MCU). The choice of the Butler matrix reduces the complexity of beamforming circuitry and avoids the use of high-cost phase shifters requiring extra control-bit signals. Further, the array antenna is optimized for high isolation among the antenna ports and a minimal UAV body effect. Then, the proposed structure was verified at 1.96 GHz for test purposes only, and the array size, excluding the antenna case, was 2.16λo × 0.54λo × 0.07λo. The measured 10 dB impedance bandwidth for all antenna elements in the array was always better than 3.4%, and the isolation among the antenna ports was also better than 19 dB. The measured peak gain, excluding the loss of the switched Butler module, was about 9.98 dBi, on average. Lastly, the measured peak scan angles were observed at −39°, −17°, 9° and 31° according to switching modes.

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Energy-autonomous sensing systems using drones

Cited by 31 publications

References 10 publications

Efficient and Reliable Aerial Communication With Wireless Sensors

Efficient and Reliable Aerial Communication With Wireless Sensors

A Flexible, Low-Power Platform for UAV-Based Data Collection From Remote Sensors

Compact Switched-Beam Array Antenna with a Butler Matrix and a Folded Ground Structure

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