Evaluating data communications in natural disaster scenarios using opportunistic networks with Unmanned Aerial Vehicles

Albuquerque, José Carlos de; Lucena, Sidney C. de; Campos, Carlos Alberto Vieira

doi:10.1109/itsc.2016.7795748

Cited by 14 publications

(14 citation statements)

References 8 publications

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“…While the obvious advantage of less power demanding operations during passive activities such as sensing will probably be favored until more efficient flight is achieved and lighter and better batteries are available, the applications that make use of active interactions of the drones with the environment are already numerous. The main example for acting drones is the use of UAVs as a mobile aerial communication infrastructure [54,92], specifically in the domains of delivering wireless broadband [52,53,55,56,[58][59][60][61]92,93] and, more low-tech, VHF/UHF radio coverage. The latter is especially relevant during emergencies [92].…”

Section: Actuation Applicationsmentioning

confidence: 99%

“…By their very nature, UAV-based sensor networks lend themselves for approaches using multiple devices and the literature reports on a number of swarm-based approaches and implementations, specifically the use of UAV swarms realizing/augmenting GSM cell networks [52,53,55,56,[58][59][60][61]92,93] or wireless sensor network [54,57,92]. These consider both, homogeneous UAV swarms [34,46,55,56,77,87,100,102] as well as swarms consisting of more than one type of device, e.g., UAVs working with Unmanned Ground Vehicles (UGVs) [8,60,88] or with Unmanned Surface Vehicles (USVs) [70,71].…”

Section: Usage Of Uav Swarms In Smart Cities and For Public Safety Apmentioning

confidence: 99%

“…UAVs have been used to provide services in the context of disaster management [41] and assistance, transportation [93] and construction management and, what seems to be the most common application, to deliver communication capabilities [61]. For example, UAVs can be used as mobile nodes in communication networks (to replace or augment destroyed infrastructure or to overcome geographical obstacles limiting line of sight communication like VHF/UHF radios) [92]. In another example a temporary aerial cell network to provide communication access to wide areas in the immediate aftermath of a infrastructure destroying event such as a tsunami or an earthquake (both of which can conceivably happen during ideal weather conditions for UAVs) is discussed [56].…”

Section: Application Area: Civil Security and Disaster Responsementioning

confidence: 99%

See 2 more Smart Citations

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Hildmann

Kovács²

2019

Drones

177

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The use of UAVs in areas ranging from agriculture over urban services to entertainment or simply as a hobby has rapidly grown over the last years. Regarding serious/commercial applications, UAVs have been considered in the literature, especially as mobile sensing/actuation platforms (i.e., as a delivery platform for an increasingly wide range of sensors and actuators). With regard to timely, cost-effective and very rich data acquisition, both, NEC Research as well as TNO are pursuing investigations into the use of UAVs and swarms of UAVs for scenarios where high-resolution requirements, prohibiting environments or tight time constraints render traditional approaches ineffective. In this review article, we provide a brief overview of safety and security-focused application areas that we identified as main targets for industrial and commercial projects, especially in the context of intelligent autonomous systems and autonomous/semi-autonomously operating swarms. We discuss a number of challenges related to the deployment of UAVs in general and to their deployment within the identified application areas in particular. As such, this article is meant to serve as a review and overview of the literature and the state-of-the-art, but also to offer an outlook over our possible (near-term) future work and the challenges that we will face there.

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Section: Actuation Applicationsmentioning

confidence: 99%

Section: Usage Of Uav Swarms In Smart Cities and For Public Safety Apmentioning

confidence: 99%

Section: Application Area: Civil Security and Disaster Responsementioning

confidence: 99%

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Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Hildmann

Kovács²

2019

Drones

177

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“…We used MAVROS to publish the autopilot's/SITL's mavlink data to the network, relay it to GCS (Ground Control Software) and relay the CM's instructions to the autopilot. The Ardupilot SITL (SW in the loop, GPLv3 License, cf., for example, References [55][56][57][58][59]) autopilot software facilitates the simulation of flight operations and enables us to use additional Raspberry Pis to simulate larger swarms.…”

Section: Control Module (Cm)mentioning

confidence: 99%

Nature-Inspired Drone Swarming for Real-Time Aerial Data-Collection Under Dynamic Operational Constraints

Hildmann

Kovács²,

Saffre

et al. 2019

Drones

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Unmanned Aerial Vehicles (UAVs) with acceptable performance are becoming commercially available at an affordable cost. Due to this, the use of drones for real-time data collection is becoming common practice by individual practitioners in the areas of e.g., precision agriculture and civil defense such as fire fighting. At the same time, as UAVs become a house-hold item, a plethora of issues—which can no longer be ignored and considered niche problems—are coming of age. These range from legal and ethical questions to technical matters such as how to implement and operate a communication infrastructure to maintain control over deployed devices. With these issues being addressed, approaches that focus on enabling collectives of devices to operate semi-autonomously are also increasing in relevance. In this article we present a nature-inspired algorithm that enables a UAV-swarm to operate as a collective which provides real-time data such as video footage. The collective is able to autonomously adapt to changing resolution requirements for specific locations within the area under surveillance. Our distributed approach significantly reduces the requirements on the communication infrastructure and mitigates the computational cost otherwise incurred. In addition, if the UAVs themselves were to be equipped with even rudimentary data-analysis capabilities, the swarm could react in real-time to the data it generates and self-regulate which locations within its operational area it focuses on. The approach was tested in a swarm of 25 UAVs; we present out preliminary performance evaluation.

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“…The output obtained normalizes routing overhead, packet delivery ratio and MAC collision. Mobile nodes (UAV-Unmanned Aerial Vehicle) of a delay tolerant network was used to overcome the communication problem between survivor and rescuer [17]. The performance of the delay tolerant network is tested with real traces of UAV based on heavy rains and landslides.…”

Section: IIImentioning

confidence: 99%

A Survey on Mobile Networks for Disaster Management

Monisha¹

2018

IJRASET

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Teamphone is designed in order to provide communication capabilities, via bonding the gaps between different kinds of wireless networks. Teamphone comprises of two parts: The messaging system and the self-rescue system. The messaging system is the combination of cellular networking, ad-hoc networking and opportunistic networking seamlessly. This system enables better communication between the rescuers. The self-rescue system sorts, plans and position the survivors. Such a class of smart phones with this facility can ascend and pass out messages in case of exigency with the region and spot details so that it is helpful the rescue operation. The teamphone is setup and deployed as a preliminary application on the android platform on the smartphones. The experimental solutions proved that the implementation of the teamphone attained the requirements of communication and aids assistance in rescue operation of disaster recovery. Keywords: Smartphone, disaster recovery, messaging system, self-rescue system, routing. I. INTRODUCTIONIn the last few years the communication technologies are implemented and used in order to make improvements in the field of rescue of survivors in disaster. For communication, smartphones which are equipped with cellular network and short range radios are used e.g., Bluetooth and Wifi. The short range radios provide communication even when there is no cellular towers. The teamphone supports data communication within the rescue workers in infrastructure and infrastructure-less scenarios. The survivors can also discover the rescue workers and send the emergency message and this emergency message contains the location and position details. The location details are obtained from their last known location of their smartphone. The teamphone comprising of messaging and self-rescue system aids rescue operation with different type of message transmission by bonding the three types of network. The self-rescue system is designed to satisfy the following three functions (i)Self-rescue grouping (ii)Wake-up scheduling and(iii) Positioning. The three types of networks used in teamphone are cellular network, wireless sensor network and opportunistic seamless network.

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Evaluating data communications in natural disaster scenarios using opportunistic networks with Unmanned Aerial Vehicles

Cited by 14 publications

References 8 publications

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Nature-Inspired Drone Swarming for Real-Time Aerial Data-Collection Under Dynamic Operational Constraints

A Survey on Mobile Networks for Disaster Management

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