Gathering Big Data in Wireless Sensor Networks by Drone

Rezende, Josiane da Costa Vieira; Silva, Rone Ilídio da; Souza, Marcone Jamilson Freitas

doi:10.3390/s20236954

Cited by 10 publications

(5 citation statements)

References 23 publications

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“…The main differences between the proposed method and the existing ones [3][4][5][6][7][8][9][18][19][20][21][22][23] at different stages of its functioning are given in Table 1.…”

Section: Discussion Of Results Of Studying Wireless Sensor Network Se...mentioning

confidence: 99%

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Modifying a method for direct data collection by a telecommunication aerial platform from nodes of wireless sensor networks

Hrymud

Romaniuk

2022

EEJET

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Wireless sensor networks are becoming increasingly important in both the civilian and military fields. The object of this study is the process of collecting data by a telecommunication aerial platform from network nodes under conditions of their remoteness from the telecommunication infrastructure. Most available papers consider a solution to partial problems related to the process of data acquisition by a telecommunication aerial platform: clustering of the network, search for the shortest flight route, minimization of energy costs of nodes, etc. Therefore, an improved method of direct data collection by a telecommunication air platform is proposed, which consistently and comprehensively solves these problems. Unlike existing methods, it takes into consideration several objective functions (optimization of data collection time by a telecommunication air platform and a network functioning time), parameters of the state of nodes and clusters, as well as makes it possible to obtain solutions in real time. A special feature of the proposed method is the search for the optimal solution according to the hierarchy: network – cluster – node. At the network level, the following is optimized: the number of clusters of a certain dimensionality and the trajectory of the cluster flyby. At the cluster level, the points (intervals) of data collection during the freezing (in motion) of the telecommunication air platform and the trajectory of its flight within a cluster are determined. At the node level, its energy consumption is minimized by reducing the distance to the telecommunication aerial platform. The trajectory of the platform within a cluster is calculated according to the developed rule base. The rules implement the method of situational management. The conditions of application are the parameters of the state of the nodes, the solutions are the parameters of the trajectory of a telecommunication aerial platform, and the intervals of data acquisition. The rules take into consideration the priority of the objective functions, the state of the parameters of the cluster nodes, and the previously made basic decision on the trajectory of the flyby. The simulation results show that the application of the method reduces the time of data collection up to 15 % or increases the network functioning time to 17 %.

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“…The main differences between the proposed method and the existing ones [3][4][5][6][7][8][9][18][19][20][21][22][23] at different stages of its functioning are given in Table 1.…”

Section: Discussion Of Results Of Studying Wireless Sensor Network Se...mentioning

confidence: 99%

“…In addition, it does not consider taking into consideration the dependence of the energy consumption of nodes on the TAP flight path. In [18], the problem of minimizing the time of data acquisition from all WSN nodes is solved by optimizing the flight route. The route consists of data collection points.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Modifying a method for direct data collection by a telecommunication aerial platform from nodes of wireless sensor networks

Hrymud

Romaniuk

2022

EEJET

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“…It also stipulates that the UAV can only collect data from the sensors when it is hovering, and there is no signal transmission when the UAV is moving. On this basis, Gallego et al improved the above two heuristic algorithms for selecting hovering points of a UAV and stipulated two states of collecting data at hovering points and collecting during flight [33]. Specifically, they defined the sequence of hovering points where the UAV had to hover to gather data and defined a subset of sensor nodes that can send data packets to the moving UAV, to reduce the hovering time and the whole data collection time.…”

Section: Related Workmentioning

confidence: 99%

Optimization Schemes for UAV Data Collection with LoRa 2.4 GHz Technology in Remote Areas without Infrastructure

Zhang

Zhou

Sheng

et al. 2022

Drones

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Recently, the use of unmanned aerial vehicles (UAVs) and LPWANs (low-power wide-area networks) has been a good solution to the problem of data collection for environmental monitoring in remote areas without infrastructure, and there are many valuable research works in this field. UAV data collection for sensor nodes is becoming a challenge, that is, the amount of data will affect the UAV’s communication time and flight status, especially in LPWAN systems. In this paper, the optimization schemes are proposed to improve the efficiency of UAV for collecting data in LoRa network monitoring systems. Firstly, an improved clustering algorithm for the LoRa network is proposed, which considers the influence of distance between the cluster heads and the UAV take-off point. Secondly, we present an improved Genetic Algorithm for path planning to reduce the UAV flight distance, which introduces the Teaching–Learning-based Optimization (TLBO) and local search optimization algorithms to improve convergence speed and the path solution. Then, a LoRa 2.4 GHz adaptive data rate strategy with a dual channel is designed based on distance and link quality, to reduce the data transmitting time between the UAV and the cluster head nodes. Finally, we carry out the simulations and experiments. The results show the performance of the proposed schemes, which means that these can improve the efficiency of UAV data collection with low cost LoRa networks in remote areas without infrastructure.

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“…hu et al 36 use UAVs as data mules to deploy and distribute program codes over a huge number of devices in a smart city so offering a low‐cost, fast, and efficient solution. Data gathering in wireless sensor networks (WSNs) by using mobile sinks, such as drones, is presented in Rezende et al: 37 An algorithm that offers an efficient solution to fly over sensor nodes allowing the collection of a massive amount of data with low power consumption is introduced. A similar approach is adopted in Wu et al 38 where UAVs perform an energy‐efficient data collection from the deployed sensors by using single UAV or multiple UAVs depending if the system scale is small or large, respectively.…”

Section: Related Workmentioning

confidence: 99%

UAV‐based LoRaWAN flying gateway for the internet of flying things

Moheddine

Patrone

Marchese

2022

Int J Communication

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The Internet of Things (IoT) is one of the paradigms related to the evolution of telecommunication networks which is contributing to the evolution of numerous use cases, such as smart city and smart agriculture. However, the current communication infrastructure and wireless communication technologies are not always able to guarantee a proper service for these IoT scenarios. Smart solutions are needed to overcome current terrestrial network limitations offering a cost-effective way to extend the current terrestrial network coverage. For example, temporary extensions "on-request" of the terrestrial infrastructure may be a viable solution to allow collecting data generated by nodes outside the current network coverage. Flying objects can help achieve this goal. Various studies supported the use of unmanned aerial vehicles (UAVs) as intermediate nodes between IoT devices and the network. However, such solutions have not been exhaustively tested yet in real-case scenarios. This paper proposes an efficient solution to collect data from multiple IoT sensors in rural and remote areas based on UAVs. It describes the implementation of the proposed UAV-based Long RangeWide Area Network (LoRaWAN) flying gateway able to collect data directly from LoRaWAN sensors during its flight, keep them stored in an onboard memory, and forward them at the end of its flying path to a platform where the authorized users can access them. A prototype of the gateway has been developed to assess the proposed solution through both indoor and outdoor tests aiming to test its feasibility both in terms of communication performance and UAV-required hardware resources. K E Y W O R D S data mule, flying gateway, internet of flying things, low power wide area network, LoRaWAN, unmanned aerial vehicle

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Gathering Big Data in Wireless Sensor Networks by Drone

Cited by 10 publications

References 23 publications

Modifying a method for direct data collection by a telecommunication aerial platform from nodes of wireless sensor networks

Modifying a method for direct data collection by a telecommunication aerial platform from nodes of wireless sensor networks

Optimization Schemes for UAV Data Collection with LoRa 2.4 GHz Technology in Remote Areas without Infrastructure

UAV‐based LoRaWAN flying gateway for the internet of flying things

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