Dual-Stack Single-Radio Communication Architecture for UAV Acting As a Mobile Node to Collect Data in WSNs

Sayyed, Ali; Araújo, Gustavo Medeiros de; Bodanese, J. P.; Becker, Leandro Buss

doi:10.3390/s150923376

Cited by 20 publications

(15 citation statements)

References 27 publications

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“…To find efficient and reliable communication links, control messages broadcast between nodes are typically used [7]. It is assumed that the geographic locations of the sensor nodes can be obtained by GPS receivers.…”

Section: Introductionmentioning

confidence: 99%

Utilizing Active Sensor Nodes in Smart Environments for Optimal Communication Coverage

Xie

Zhang

et al. 2019

IEEE Access

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Wireless sensor networks are widely used in smart environments to capture and detect the activities of human beings, and achieving reliable transmission between sensor nodes has become one of the main challenges of practical applications. This paper presents a scheme for path planning that is designed to achieve optimal coverage by using active nodes to periodically fill in the blank areas and to replace the failed nodes. This approach can effectively avoid uneven energy consumption while maintaining complete link states. Meanwhile, the curl field of the nodes is used to model the effects of the residual energy and the distance between nodes, thereby effectively relaxing the requirements on the spatial positions of the nodes. Experiments show that in the case of directional transmission, the proposed method demonstrates better performance than other algorithms in terms of the network lifecycle, coverage, and transmission reliability. This method can effectively address the problem of cross-node failure along the transmission paths in complex and dynamic networks.

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Section: Introductionmentioning

confidence: 99%

Utilizing Active Sensor Nodes in Smart Environments for Optimal Communication Coverage

Xie

Zhang

et al. 2019

IEEE Access

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“…The common disadvantage of the data transmission protocols discussed above for use in UAV-WSN system applications is that they do not provide sufficient flexibility to UAVs for the collection of remote sensing data due to the constraints associated with the collection of ground sensor data [47][48][49][50]. Presently, this necessitates that the UAV must fly over a study area twice, where one flight path is planned for visiting each communication node in the WSN (i.e., the sensor nodes, route nodes, or head nodes, depending on the protocol in use) and another is planned for collecting high-resolution remote sensing data.…”

Section: Introductionmentioning

confidence: 99%

Design of an Integrated Remote and Ground Sensing Monitor System for Assessing Farmland Quality

Zhang

Wang

et al. 2020

Sensors

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Quality monitoring is important for farmland protection. Here, high-resolution remote sensing data obtained by unmanned aerial vehicles (UAVs) and long-term ground sensing data, obtained by wireless sensor networks (WSNs), are uniquely suited for assessing spatial and temporal changes in farmland quality. However, existing UAV-WSN systems are unable to fully integrate the data obtained from these two monitoring systems. This work addresses this problem by designing an improved UAV-WSN monitoring system that can collect both high-resolution UAV images and long-term WSN data during a single-flight mission. This is facilitated by a newly proposed data transmission optimization routing protocol (DTORP) that selects the communication node within a cluster of the WSN to maximize the quantity of data that can be efficiently transmitted, additionally combining individual scheduling algorithms and routing algorithms appropriate for three different distance scales to reduce the energy consumption incurred during data transmission between the nodes in a cluster. The performance of the proposed system is evaluated based on Monte Carlo simulations by comparisons with that obtained by a conventional system using the low-energy adaptive clustering hierarchy (LEACH) protocol. The results demonstrate that the proposed system provides a greater total volume of transmitted data, greater energy utilization efficiency, and a larger maximum revisit period than the conventional system. This implies that the proposed UAV-WSN monitoring system offers better overall performance and enhanced potential for conducting long-term farmland quality data collection over large areas in comparison to existing systems.

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“…Unmanned aerial vehicles have been developed and applied to perform farming tasks such as remote sensing [1] , crop dusting [2] , pesticide spraying [3,4] , routine monitoring of crop plant health [5] and acquiring sensed data from ground sensor nodes [6][7][8] . Nevertheless, available agricultural UAVs are still limited by their payload and flight endurance.…”

Section: Introductionmentioning

confidence: 99%

Application of distributed auction to multi-UAV task assignment in agriculture

Yang

2018

International Journal of Precision Agricultural Aviation

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This paper addresses the multiple farming task assignment for agricultural UAVs by presenting a decentralized auction algorithm, where computation and information are distributed among multiple parallel processing units (UAVs). The scheme iterates between bundle construction phase and two conflict resolution phases, and then converges to a task allocation and route plan simultaneously. In the bundle construction stage, each UAV groups the tasks with commonalities by considering its own capacities of flight endurance, weight load, battery, data storage, etc. In the following conflict resolution stages, the winning UAVs for tasks are determined by the information exchanged between UAVs. Later, the proposed algorithm is shown to have a low demand for communication and is proved to be able to achieve 50% optimality. Finally, an application of collecting the data of ground sensor nodes (including moving nodes) is used to assess the performance of the proposed scheme. Numerical experiments confirm superior convergence properties and performance of the proposed algorithm when compared with existing task-allocation algorithms.Citation: Hu J, Yang J C. Application of distributed auction to multi-UAV task assignment in agriculture. Int J Precis Agric Aviat, 2018; 1(1): 44-50.

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Dual-Stack Single-Radio Communication Architecture for UAV Acting As a Mobile Node to Collect Data in WSNs

Cited by 20 publications

References 27 publications

Utilizing Active Sensor Nodes in Smart Environments for Optimal Communication Coverage

Utilizing Active Sensor Nodes in Smart Environments for Optimal Communication Coverage

Design of an Integrated Remote and Ground Sensing Monitor System for Assessing Farmland Quality

Application of distributed auction to multi-UAV task assignment in agriculture

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