Optimizing 802.15.4 Outdoor IoT Sensor Networks for Aerial Data Collection

Nekrasov, Michael; Allen, Ryan; Artamónova, Irina; Belding, Elizabeth

doi:10.3390/s19163479

Cited by 18 publications

(12 citation statements)

References 30 publications

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“…In addition, two sensor nodes were attached WSN tunnel, vineyard 20 nodes G-G environment impact (tunnels) Hithnawi et al [12] WSN laboratory 4 G-G CTI (WiFi, Bluetooth, wireless camera, cordless phone etc.) Huiru et al [13] UAV-WSN outdoor 1 ground, 1 air G-A link stability of ground to air links Chen et al [6] UAV-WSN outdoor 1 ground, 1 air G-A communication range Nekrasov et al [23] UAV-WSN outdoor 4 ground, 2 air G-A spatial characteristics, antenna orientation etc. Valente et al [27] UAV-WSN outdoor 10 ground, 1 air G-A altitude impact…”

Section: Methodsmentioning

confidence: 99%

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Evaluation of the Quality of Aerial Links in Low-Power Wireless Sensor Networks

Wen

Dargie

2021

IEEE Sensors J.

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A wireless sensor network (WSN) assisted by Unmanned Aerial Vehicles (UAVs) can be used to monitor various phenomena in remote, extensive, inaccessible, or dangerous places. The WSN on the ground can provide close-to-thescene sensing, in-network data processing, and multi-hop communication. The UAVs can interface the ground network with a remote control station or facilitate fast and flexible data collection. To this end, the aerial links established between the UAVs and the WSN are critical. The reliability of the links depends on many factors, including Cross Technology Interference (CTI), the relative distance of the UAVs from the ground nodes, the drive quality of the UAVs, and noise.In this paper, we present experimental results addressing some of these issues. Our experiments consisted of eleven IEEE 802.15.4 compliant transceivers, nine of which were deployed on the ground in a grid topology with a further two being attached to a UAV. From careful examination of traces extracted from received packets we concluded that CTI is the most significant factor affecting the quality of aerial links. Our observations have application for deployment related decision-making and for the design of UAV-assisted data collection protocols.

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Section: Methodsmentioning

confidence: 99%

“…In [23], the authors employed four ground sensor nodes in a linear topology and a DJI Matrice 100 Quadcopter carrying two IEEE 802.15.4 compliant transceivers to investigate link quality fluctuation. In addition, they investigated the impact of signal obstruction and variations in antenna orientation.…”

Section: B Aerial Linksmentioning

confidence: 99%

Evaluation of the Quality of Aerial Links in Low-Power Wireless Sensor Networks

Wen

Dargie

2021

IEEE Sensors J.

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“…Simulation settings, parameters, and comparative analysis of results are discussed for the UAANET-assisted IoT environment. The implementation of the proposal and some state-of-the-art techniques was conducted using the network simulator (ns-2) environment [41]. The major simulation settings include 200 UAV wireless nodes enabled by the 802.11b version of Wi-Fi in a 3D simulation space of 1000 × 1000 × 1000 m. A wireless transmission range of 200 m was assumed for UAV-to-UAV and UAV-to-ground communication, with most service-oriented computing performed at the ground station server and UAVs active in the UAANET environment.…”

Section: Resultsmentioning

confidence: 99%

Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks

Kumar

Kaiwartya

et al. 2020

Sensors

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Aerial ad-hoc networks have the potential to enable smart services while maintaining communication between the ground system and unmanned aerial vehicles (UAV). Previous research has focused on enabling aerial data-centric smart services while integrating the benefits of aerial objects such as UAVs in hostile and non-hostile environments. Quality of service (QoS) provisioning in UAV-assisted communication is a challenging research theme in aerial ad-hoc networks environments. Literature on aerial ad hoc networks lacks cooperative service-oriented modeling for distributed network environments, relying on costly static base station-oriented centralized network environments. Towards this end, this paper proposes a quality of service provisioning framework for a UAV-assisted aerial ad hoc network environment (QSPU) focusing on reliable aerial communication. The UAV’s aerial mobility and service parameters are modelled considering highly dynamic aerial ad-hoc environments. UAV-centric mobility models are utilized to develop a complete aerial routing framework. A comparative performance evaluation demonstrates the benefits of the proposed aerial communication framework. It is evident that QSPU outperforms the state-of-the-art techniques in terms of a number of service-oriented performance metrics in a UAV-assisted aerial ad-hoc network environment.

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“…In addition, two sensor nodes were attached [26] WSN office building, campus 20 to 100 G-G characteristics of low power wireless links in stationary WSNs Mottola et al [21] WSN tunnel, vineyard 20 nodes G-G environment impact (tunnels) Hithnawi et al [12] WSN laboratory 4 G-G CTI (WiFi, Bluetooth, wireless camera, cordless phone etc.) Huiru et al [13] UAV-WSN outdoor 1 ground, 1 air G-A link stability of ground to air links Chen et al [6] UAV-WSN outdoor 1 ground, 1 air G-A communication range Nekrasov et al [23] UAV-WSN outdoor 4 ground, 2 air G-A spatial characteristics, antenna orientation etc. Valente et al [27] UAV-WSN outdoor 10 ground, 1 air G-A altitude impact…”

Section: Methodsmentioning

confidence: 99%

Evaluation of the Quality of Aerial Links in Low-Power Wireless Sensor Networks

Dargie¹

2021

Preprint

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<div>A wireless sensor network (WSN) assisted by Unmanned Aerial Vehicles (UAVs) can be used to monitor various phenomena in remote, extensive, inaccessible, or dangerous places. The WSN on the ground can provide close-to-the-scene sensing, in-network data processing, and multi-hop communication. The UAVs can interface the ground network with a remote control station or facilitate fast and flexible data collection. To this end, the aerial links established between the UAVs and the WSN are critical. The reliability of the links depends on many factors, including Cross Technology Interference (CTI), the relative distance of the UAVs from the ground nodes, the drive quality of the UAVs, and noise. In this paper, we present experimental results addressing some of these issues. Our experiments consisted of eleven IEEE 802.15.4 compliant transceivers, nine of which were deployed on the ground in a grid topology with a further two being attached to a UAV. From careful examination of traces extracted from received packets we concluded that CTI is the most significant factor affecting the quality of aerial links. Our observations have application for deployment related decision-making and for the design of UAV-assisted data collection protocols.</div><div><br></div>

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Optimizing 802.15.4 Outdoor IoT Sensor Networks for Aerial Data Collection

Cited by 18 publications

References 30 publications

Evaluation of the Quality of Aerial Links in Low-Power Wireless Sensor Networks

Evaluation of the Quality of Aerial Links in Low-Power Wireless Sensor Networks

Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks

Evaluation of the Quality of Aerial Links in Low-Power Wireless Sensor Networks

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