Unmanned Aerial Vehicle-Aided Wireless Sensor Network Deployment System for Post-disaster Monitoring

Tuna, Gürkan; Mumcu, Tarık Veli; Gülez, Kayhan; Güngör, Vehbi Çağrı; Erturk, Hayrettin

doi:10.1007/978-3-642-31837-5_44

Cited by 45 publications

(23 citation statements)

References 12 publications

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“…Furthermore, the environment can be augmented by simulating the ground sensor network deployment and associated data streams. In a real training application, the virtual environment can replay actual logged data from both the UAV and the WSN using an approach described by [10]. Regarding in-network data processing, we decide on a decentralized fusion scheme.…”

Section: Gccmentioning

confidence: 99%

Large scale heterogeneous monitoring system with decentralized sensor fusion

Stâmâtescu

Stamatescu

Dragana

et al. 2015

2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applicati

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Monitoring large areas, critical infrastructure systems and surveillance operations require the design of advanced embedded systems which cooperate for achieving mission objectives within a decision support framework. As fundamental building blocks of this new paradigm, we focus on the integration at the communication and data processing levels of wireless sensor networks with unmanned aerial vehicles. WSNs are seen as collections of embedded computing and communication devices which are able to measure and report continuous and discrete values to a central server and allow dynamic interactions through dedicated middleware. At the same time, UAVs are a vital resource for rich fieldlevel information such as picture and video stream capture along with great flexibility for deployment and operation. The paper discusses the general architecture of a large scale heterogeneous monitoring system and the application of decentralized sensor fusion mechanisms for efficient information extraction and data reduction. This promises significat impact on reducing the energy and communication constraints of the embedded sensing nodes. Experimental results are provided stemming from real-world deployment of the UAV platform and ground sensor network subsystems.

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Section: Gccmentioning

confidence: 99%

Large scale heterogeneous monitoring system with decentralized sensor fusion

Stâmâtescu

Stamatescu

Dragana

et al. 2015

2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applicati

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“…Although there are works such as [3][4][5] that propose the use of UAVs to integrate WSNs, it was noted that there are no studies that investigate the use of UAVs as a gateway and data mule, or include an analytical study of energy consumption. Moreover, only a few of them use the Zig-Bee protocol, which is the most widely used standard for WSNs and the focus of our study.…”

Section: Related Workmentioning

confidence: 99%

“…The study by Tuna and colleagues [5] outlines strategies for the use of UAVs in implementing a WSN for monitoring a post-disaster recovery phase. These strategies involve determining routes, making improvements to positioning, and finding better sites for placing the wireless sensors.…”

Section: Related Workmentioning

confidence: 99%

Exploiting the use of unmanned aerial vehicles to provide resilience in wireless sensor networks

et al. 2014

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“…Mobile wireless platforms are widely employed in wireless sensor networks for deploying wireless sensor nodes [1], [2], maintaining network connectivity [3], [4], and collecting sensing data [5], [6]. Wireless sensor networks usually consist of massive volumes of wireless sensor nodes, which are deployed in hostile environment.…”

Section: Introductionmentioning

confidence: 99%

A 2-Dimensional ACO-Based Path Planner for Off-Line Robot Path Planning

Ganganath

Cheng

2013

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

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Abstract-Wireless sensor networks are usually deployed in scenarios that are too hostile for human personnel to perform maintenance tasks. Wireless sensor nodes usually exchange information in a multi-hop manner. Connectivity is crucial to the performance of a wireless sensor network. In case a network is partitioned due to node failures, it is possible to re-connect the fragments by setting up bridges using mobile platforms. Given the landscape of a terrain, the mobile platforms should be able reach the target position using a desirable path. In this paper, an off-line robot path planner is proposed to find desirable paths between arbitrary points in a given terrain. The proposed path planner is based on ACO algorithms. Unlike ordinary ACO algorithms, the proposed path planner provides its artificial ants with extra flexibility in making routing decisions. Simulation results show that such enhancement can greatly improve the qualities of the paths obtained. Performances of the proposed path planner can be further optimized by finetuning its parameters.

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Unmanned Aerial Vehicle-Aided Wireless Sensor Network Deployment System for Post-disaster Monitoring

Cited by 45 publications

References 12 publications

Large scale heterogeneous monitoring system with decentralized sensor fusion

Large scale heterogeneous monitoring system with decentralized sensor fusion

Exploiting the use of unmanned aerial vehicles to provide resilience in wireless sensor networks

A 2-Dimensional ACO-Based Path Planner for Off-Line Robot Path Planning

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