Cooperative Relaying for Ad-Hoc Ground Networks Using Swarm UAVs

Palat, R.C.; Annamalau, A.; Reed, Jeff

doi:10.1109/milcom.2005.1605902

Cited by 76 publications

(40 citation statements)

References 14 publications

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“…For example, since signal strength decreases with distance, one can create a cost measure where the cost increases with distance. Assuming line of sight, the signal strength decreases with the square of the distance [4]. To some extent the decrease in signal strength can be offset by using communication devices with an error-correcting capability.…”

Section: Relay Chains and Relay Treesmentioning

confidence: 99%

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Generating UAV communication networks for monitoring and surveillance

Olsson

Kvarnström

Doherty

et al. 2010

2010 11th International Conference on Control Automation Robotics &Amp; Vision

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Abstract-An important use of unmanned aerial vehicles is surveillance of distant targets, where sensor information must quickly be transmitted back to a base station. In many cases, high uninterrupted bandwidth requires line-of-sight between sender and transmitter to minimize quality degradation. Communication range is typically limited, especially when smaller UAVs are used. Both problems can be solved to creating relay chains for surveillance of a single target, and relay trees for simultaneous surveillance of multiple targets. In this paper we show how such chains and trees can be calculated. For relay chains we create a set of chains offering different trade-offs between the number of UAVs in the chain and the chain's cost. We also show new results on how relay trees can be quickly calculated and then incrementally improved if necessary. Encouraging empirical results for improvement of relay trees are presented.

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Section: Relay Chains and Relay Treesmentioning

confidence: 99%

“…Routing algorithms for such networks must be able to handle addition and removal of network nodes at runtime [29]. The range and reliability of ad-hoc networks can be improved by using a UAV as a relay [4]. Wireless Sensor Networks (WSNs) consist of a large number of small sensors that are placed to cover an area [30], [31].…”

Section: Related Workmentioning

confidence: 99%

Generating UAV communication networks for monitoring and surveillance

Olsson

Kvarnström

Doherty

et al. 2010

2010 11th International Conference on Control Automation Robotics &Amp; Vision

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“…The use of MAVs as a communications relay is well known (see Ayyagari, Harrang, & Ray, 1996;Chen-Mou, Pai-Hsiang, Kung, & Vlah, 2007;Palat, Annamalau, & Reed, 2005;and Pengcheng, Kai, & Swindlehurst, 2006, for examples). As will be discussed in Section 5.1.3, loss of wireless communications is a major concern.…”

Section: Lessons Learnedmentioning

confidence: 99%

Cooperative use of unmanned sea surface and micro aerial vehicles at Hurricane Wilma

Murphy

Steimle

Griffin³

et al. 2008

Journal of Field Robotics

198

102

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, Hurricane Wilma, a category 5 storm, made landfall at Cape Romano, Florida. Three days later, the Center for Robot-Assisted Search and Rescue at the University of South Florida deployed an iSENYS helicopter and a prototype unmanned water surface vehicle, AEOS-1, to survey damage in parts of Marco Island, 14 km from landfall. The effort was the first known use of unmanned sea surface vehicles (USVs) for emergency response and established their suitability for the recovery phase of disaster management by detecting damage to seawalls and piers, locating submerged debris (moorings and handrails), and determining safe lanes for sea navigation. It provides a preliminary domain theory of postdisaster port and littoral inspection with unmanned Journal of Field Robotics 25(3), 164-180 (2008) vehicles for use by the human-robot interaction community. It was also the first known demonstration of the strongly heterogeneous USV-micro aerial vehicle (MAV) team for any domain. The effort identified cooperative UAV-USV strategies and open issues for autonomous operations near structures. The effort showed that the MAV provided a muchneeded external view for situation awareness and provided spotting for areas to be inspected. Concepts of operations for USV damage inspection and USV-MAV cooperation emerged, including a formula for computing the human-robot ratio:where N h is the number of humans and N v is the number of vehicles. The outstanding research issues span three areas: challenges for USVs operating near littoral structures, general issues for USV-MAV cooperation, and new applications. It is expected that the lessons learned will be transferrable to defense and homeland safety and security applications, such as port security, and other phases of emergency response, including rescue.C 2008 Wiley Periodicals, Inc.

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“…This often leads to a dependence on Line-of-Sight (LOS) communications (Olsson et al, 2010), limited by obstacles and small communication ranges. To enable communication also in remote areas, UAVs can form a relay network (Palat et al, 2005). Algorithms were developed to optimize these networks for reachability and coverage of Regions of Interest (ROIs) (Cetin and Zagli, 2012).…”

Section: Introductionmentioning

confidence: 99%

Ecological Interface for Collaboration of Multiple UAVs in Remote Areas

et al. 2016

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Unmanned Aerial Vehicles (UAVs) can be used to access remote areas, e.g., for surveillance missions. Collaboration between them can help overcome communication constraints by building airborne relay networks that allow beyond line of sight communication. This research investigates whether a single human operator can supervise multiple UAVs in a collaborative surveillance task under communication constraints. We designed an ecological interface to support operators in their task and increase system flexibility. A preliminary humanin-the-loop study was done to investigate operator task performance and evaluate interface components. It was shown that operators are able to successfully operate surveillance missions under communication-and battery constraints. Participants did, however, not succeed to do this without separation conflicts and communication losses, which indicates that the interface lacks elements representing endurance and separation assurance. To an extent, the interface design turned out to be scalable, with a few remaining visualizations that cause clutter for large numbers of UAVs. More advanced ways of displaying information on request and grouping of select information is warranted to further improve the interface.

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Cooperative Relaying for Ad-Hoc Ground Networks Using Swarm UAVs

Cited by 76 publications

References 14 publications

Generating UAV communication networks for monitoring and surveillance

Generating UAV communication networks for monitoring and surveillance

Cooperative use of unmanned sea surface and micro aerial vehicles at Hurricane Wilma

Ecological Interface for Collaboration of Multiple UAVs in Remote Areas

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