Partnership and data forwarding model for data acquisition in UAV-aided sensor networks

Say, Sotheara; Inata, Hikari; Ernawan, Mohamad Erick; Pan, Zhenni; Liu, Jiang; Shimamoto, Shigeru

doi:10.1109/ccnc.2017.7983258

Cited by 8 publications

(3 citation statements)

References 14 publications

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“…Ariel assisted data collection using a UAV from limited capacity sensor nodes has also been considered in [25] using a Markov chain to model the movement of the UAV in addition to modelling the irregularities in the movement due to several implicit and explicit factors. The authors in [26] also favour the same concept of acquiring data from sensor nodes deployed in a field using a UAV. They add to the approach by proposing a model that allows the sensor nodes to cooperate with each other to achieve simultaneous transfer of data to the UAV to reduce latency.…”

Section: Related Workmentioning

confidence: 99%

UAV Aided Data Collection for Wildlife Monitoring using Cache-enabled Mobile Ad-hoc Wireless Sensor Nodes

Chaudhry¹,

Phillips²

2021

IJACSA

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Section: Related Workmentioning

confidence: 99%

UAV Aided Data Collection for Wildlife Monitoring using Cache-enabled Mobile Ad-hoc Wireless Sensor Nodes

Chaudhry¹,

Phillips²

2021

IJACSA

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“…Some works focus on opportunistic sensor data collection with UAVs, as discussed in [51], yet still rely on a single UAV. Regardless of the UAV tour planning, some works investigate a low-level communication approach, as described in [52], which provides medium access control (MAC) protocols dedicated to UAVs collecting data from WSNs [53]. Other works focus on UAV or WSN energy efficiency, as discussed in [8,54,55], and [56].…”

Section: Air-to-air Communicationmentioning

confidence: 99%

Evaluating flight coordination approaches of UAV squads for WSN data collection enhancing the internet range on WSN data collection

Souza

Endler

2020

J Internet Serv Appl

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Wireless sensor networks (WSNs) are an important means of collecting data in a variety of situations, such as the monitoring of large or hazardous areas. The retrieval of WSN data can yield better results through the use of unmanned aerial vehicles (UAVs), for example, concerning the increase in the amount of data collected and the decrease in the time between the collection and use of the data. In particular, disaster areas may be left without communication resources and with high residual risk to humans, at which point a WSN can be quickly launched by air to collect relevant data until other measures can be established. The set of rules of each problem's component (e.g., number of UAVs, UAVs dislocation control, sensors, communication) is considered the approaches to solve the problem. In this meaning, some studies present approaches for the use of UAVs for the collection of WSN data, focusing primarily on optimizing the path to be covered by a single UAV and relying on long-range communication that is always available; these studies do not explore the possibility of using several UAVs or the limitations on the range of communication. This work describes DADCA, a distributed scalable approach capable of coordinating groups of UAVs in WSN data collection with restricted communication range and without the use of optimization techniques. The results reveal that the amount of data collected by DADCA is similar or superior to path optimization approaches by up to 1%. In our proposed approach, the delay in receiving sensor messages is up to 46% shorter than in other approaches, and the required processing onboard UAVs can reach less than 75% of those using optimization-based algorithms. The results indicate that the DADCA can match and even surpass other presented approaches, since the path optimization is not a focus, while also incorporating the advantages of a distributed approach.

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“…Regardless of the UAV tour planning, some works investigate a low-level communication approach, as described in [77], which provides medium access control (MAC) protocols dedicated to UAVs collecting data from WSNs [78]. Other works focus on UAV or WSN energy efficiency, as discussed in [79], [8], [80] and [81].…”

Section: Communication Approachesmentioning

confidence: 99%

Flight Coordination Approaches of Uav Squads for WSN Data Collection

Souza¹

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Partnership and data forwarding model for data acquisition in UAV-aided sensor networks

Cited by 8 publications

References 14 publications

UAV Aided Data Collection for Wildlife Monitoring using Cache-enabled Mobile Ad-hoc Wireless Sensor Nodes

UAV Aided Data Collection for Wildlife Monitoring using Cache-enabled Mobile Ad-hoc Wireless Sensor Nodes

Evaluating flight coordination approaches of UAV squads for WSN data collection enhancing the internet range on WSN data collection

Flight Coordination Approaches of Uav Squads for WSN Data Collection

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