Dadca

Olivieri, Bruno; Endler, Markus

doi:10.1145/3127540.3127553

Cited by 7 publications

(4 citation statements)

References 18 publications

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“…The Distributed Algorithm for Aerial Data Collection (DADCA) is an algorithm [10] that maintains the sensor data collection by UAVs during a period of time T (measured in hours). This strategy is our approach to enable a distributed data collection with several UAVs.…”

Section: Dadcamentioning

confidence: 99%

“…We do not claim to get better results than optimization approaches, but we propose DADCA as a viable alternative to centralized approaches. An early version of this method and some essential details were introduced in [9], with improvements and further details presented in [10].…”

Section: Dadcamentioning

confidence: 99%

“…To address these issues, this work investigates whether it is possible to implement a distributed algorithm to coordinate several fully autonomous UAVs (i.e., non-humancontrolled) collecting data from a WSN without centralized control or knowledge of internal UAV states and relying on only ad-hoc communication. In response to these questions, we previously proposed the DADCA core idea in [9] and some better formulations in [10]. DADCA is a distributed algorithm that combines well-known algorithms of path planning with a cooperative and oscillatory behavior that relies on only the exchange of all payload data from pairs of UAVs' (whenever they approach) decision making.…”

Section: Introductionmentioning

confidence: 99%

“…With the goal of controlling several UAVs in a distributed manner, relying on only vehicle-to-vehicle (V2V) communication, we propose an approach that can be used as a first-time emergency response approach for repetitive visitation of WSN sensors during a T period. In an early phase of this work [10], we introduced an early version of the Distributed Algorithm for Aerial Data Collection (DADCA), a distributed algorithm that coordinates groups of UAVs collecting data from WSNs. DADCA yields superior results to those of the TSP in specific scenarios.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Dadcamentioning

confidence: 99%

Section: Dadcamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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Dynamic Switching in the Measurements’ Collecting from Heterogeneous Data Sources

Diván

Reynoso

Wahab

2020

J. Phys.: Conf. Ser.

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The Data Stream Processing Strategy (DSPS) focus on online data processing based on IoT environments. Because of the IoT devices are possibly heterogeneous between them, the data gathering is coordinated through a measurement adapter (MA), who is responsible for data transmission to the data processor. In this work, measures’ indirect transmission is incorporated through measurement adapters, promoting cooperative behaviour and the interaction between them. This extends DSPS allowing direct and indirect data collecting. The new states and process view are analysed in terms of the MA. An enveloping strategy is introduced for verifying the data integrity in the transmission path. A simulation was carried out around the generated overhead with this kind of strategy in the MAs. A mean-time of 5.781 ms is obtained as overhead, which makes it feasible of application, considering that in another way the data would be lost, and the MA becomes uncommunicated.

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The Scalability Analysis of Machine Learning Based Models in Road Traffic Flow Prediction

Wang

Boukerche

2020

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

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Dadca

Cited by 7 publications

References 18 publications

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

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

Dynamic Switching in the Measurements’ Collecting from Heterogeneous Data Sources

The Scalability Analysis of Machine Learning Based Models in Road Traffic Flow Prediction

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