The CNI Open Source Satellite Simulator based on OMNeT++

Niehoefer, Brian; Subik, Sebastian; Wietfeld, Christian

doi:10.4108/simutools.2013.251580

Cited by 7 publications

(8 citation statements)

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“…8. Sample visualization capture of our ongoing simulation testbed using OMNeT++ [16], OS3 [21] and GNSSim [22], [23]. Some additional videocaptures of our ongoing simulation testbed are available at http://j.mp/gnssimuav.…”

Section: B Simulation Scenario and Early Resultsmentioning

confidence: 99%

“…This add-on architecture can be used to extend the INET framework for the development of satellitebased communication simulations. As a result, we can use frameworks like OS3 (Open Source Satellite Simulator) [21] and GNSSim (Global Navigation Satellite Simulation System) [22], [23]. Together, they allow the development of OMNeT++ simulations combining satellite and navigation communication protocols, and attacks like GPS jamming and GPS spoofing.…”

Section: A Simulation Toolsmentioning

confidence: 99%

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Geocaching-inspired Resilient Path Planning for Drone Swarms

Barbeau

García-Alfaro

Kranakis

2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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A path planning algorithm for drone swarms is presented. From the outset, none of the drones knows the path and final destination. Together, they collectively determine and unravel step-by-step the waypoints and final destination, resolving a localization problem at each step. It is a sharedinformation path planning algorithm. The algorithm is faulttolerant and resilient to drones falling victim of attacks to their positioning system. It is shown that correctly functioning drones navigate the path provided that the number of faulty drones is less than n−d 2 , where n is the total number of drones and d, equal to two or three, is the dimension of the space navigated by the drones. We validate the algorithm with appropriate simulations, implemented over OMNeT++ and GNSSim, which allow building network simulations including GPS attacks (e.g., jamming and spoofing attacks). The OMNeT++ models and GNSSim functions are linked together.

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Section: B Simulation Scenario and Early Resultsmentioning

confidence: 99%

Section: A Simulation Toolsmentioning

confidence: 99%

Geocaching-inspired Resilient Path Planning for Drone Swarms

Barbeau

García-Alfaro

Kranakis

2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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“…As mentioned earlier, most hardware based simulators were found to be quite expensive while software based simulators were not compatible with any vehicular network simulation platform. A candidate solution to this problem was found as OMNET++ based OS3 (Open Source Satellite Simulator) [29,30]. OS3 provides a generic satellite constellation that seamlessly integrates real satellite tracks and weather data to simulate different conditions along with good visualization.…”

Section: Os3mentioning

confidence: 99%

GNSSim: An Open Source GNSS/GPS Framework for Unmanned Aerial Vehicular Network Simulation

Jahan¹,

Javaid²,

Sun³

et al. 2015

ICST Transactions on Mobile Communications and Applications

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Unmanned systems are of great importance in accomplishing tasks where human lives are at risk. These systems are being deployed in tasks that are time-consuming, expensive or inconclusive if accomplished by human intervention. Design, development and testing of such vehicles using actual hardware could be quite costly and dangerous. Another issue is the limited outdoor usage permitted by Federal Aviation Administration regulations, which makes outdoor testing difficult. An optimal solution to this problem is to have a simulation environment where different operational scenarios, newly developed models, etc., can be studied. In this paper, we propose GNSSim, a Global Navigation Satellite System (GNSS) simulation framework. We demonstrate its effectiveness by integrating it with UAVSim. This allows users to experiment easily by adjusting different satellite as well as UAV parameters. Related tests and evidence of the correctness of the implementation are presented.

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“…Architecture of LOCATe value is the defective GPS position that is passed to the so developed Open Source Satellite Simulator (OS 3 ) [20], which is based on updated Two-Line-Element sets, to enable and integrate a highly accurate satellite movement. The satellite and receiver positions are passed through multiple error correction modules.…”

Section: Architecture Of Locatementioning

confidence: 99%

Cloud-aided SDR solution for lane-specific vehicle positioning via Local Interference Compensation

Niehoefer

Schweikowski

Lehnhausen

et al. 2014

2014 IEEE Aerospace Conference

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Abstract-The steadily increasing traffic density is causing enormous negative effects such as jams, accidents or CO 2 emissions, especially in urban areas. In Europe more than 12% of the traffic network is daily congested. Hereby a reliable and dynamic congestion forecast is the key to avoid and/or compensate such locale bottleneck situations. Hence, this contribution focuses on a cloud-aided, lane-specific position determination of vehicles using a so-called Local Interference Compensation to enable a more detailed and lane-accurate traffic prediction (e.g. detecting short-dated roadworks or car breakdowns), and by that trafficflow manipulation in the future. Thereby, the scientific challenge is to predict, quantify and compensate the inevitable local impacts to the positioning accuracy when using ordinary GNSS receivers. Beneath the detailed explanation of the LOCATe system itself, this contribution will also provide quantitative experimental validation and performance evaluation tests using an Advanced Software-Defined GNSS Receiver solution on georeferenced points, which fit the definition of the introduced urban canyons.

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The CNI Open Source Satellite Simulator based on OMNeT++

Cited by 7 publications

References 0 publications

Geocaching-inspired Resilient Path Planning for Drone Swarms

Geocaching-inspired Resilient Path Planning for Drone Swarms

GNSSim: An Open Source GNSS/GPS Framework for Unmanned Aerial Vehicular Network Simulation

Cloud-aided SDR solution for lane-specific vehicle positioning via Local Interference Compensation

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