Design of trace-based NS-3 simulations for UAS video analytics with geospatial mobility

Qu, Chengyi; Morel, Alicia Esquivel; Dahlquist, Drew; Calyam, Prasad

doi:10.1117/12.2563018

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…NS-3 is one of the commonly used simulation tools in the network field and it is useful for simulations of packet delivery in virtual environments for Wi-Fi wireless communications. For instance, this tool has been utilized to verify video transmission in UAV systems and build virtual network environments for supporting simulations of swarm UAVs [22,23]. However, it cannot visualize the flight of UAV or evaluate the performance of the application.…”

Section: Background and Related Workmentioning

confidence: 99%

Advanced Co-Simulation Platform for UAV Simulations Under Virtual Wireless Network Environments

Cho

Kim

et al. 2022

IEEE Access

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In this paper, we propose an advanced co-simulation platform that performs the unmanned aerial vehicle (UAV) simulation and the wireless network simulation concurrently. As UAV-based applications become more advanced and complicated and the commands and data transmitted between UAV and ground control station significantly increase, it is vital to safely and robustly transmit the packets carrying commands and data in a wireless network environment. However, the conventional UAV simulation platforms do not take into account the wireless network conditions encountered in the real-world flight so they cannot sufficiently simulate packet transmission. To address this issue, co-simulation platforms have been developed to verify UAV-based applications under a virtual wireless network environment. However, they still cannot effectively support the co-simulation needed to develop the UAV-based applications. In this paper, we have derived a list of improvements to the conventional co-simulation platform based on analysis of the conventional ones. Based on these improvements, we have developed an advanced co-simulation platform consisting of a UAV simulation part, a wireless network simulation part, and an integration part. In this platform, a two-channel approach was introduced to parallelize the synchronization required for performing the UAV simulation and the wireless network simulation simultaneously. The experimental results carried out on three test scenarios demonstrate that the proposed platform accurately performs cosimulation by efficient interoperation of its three parts and by remarkable reduction of the processing time delay, and that it is extendible due to its modularized software architecture.

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Section: Background and Related Workmentioning

confidence: 99%

Advanced Co-Simulation Platform for UAV Simulations Under Virtual Wireless Network Environments

Cho

Kim

et al. 2022

IEEE Access

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“…Mobility models emulate the nodes' movement pattern in targeted real-life applications includes their location, position, velocity, and acceleration which change over time. For realistic mobility patterns, trace-based mobility models are appropriate for accurate mobility traces [31], [32]. However, MANETs have not been instigated and deployed on a wider scale and obtaining real mobility traces is a major challenge.…”

Section: A Generation Of Nodes Mobility Scenariosmentioning

confidence: 99%

A Stochastic Distribution Based Methodology to Estimate Control Phase Time for Software-Defined Radios in Tactical MANETs

et al. 2021

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Unlike commercial networks, the tactical networks drive in a critical environment and without a backbone infrastructure. These networks involve mission-critical operations that are dependent on the rapid and reliable transfer of delay-sensitive data to conduct command and control (C2). Owing to the decentralized and dynamic nature, tactical networks need to survive by maintaining seamless and simultaneous time-sensitive communication among software-defined radios (SDRs). Under mobility and dynamic network topology, link status continuously changes that cause substantial packet loss, and degrade network performance. It is challenging to maintain the connectivity between communicating nodes and find a suitable time for sending control messages (e.g., packet forwarding and route discovery), known as control phase time (CPT). Given a maximum transmission range for narrowband (NB) and wideband (WB) communication, the knowledge of link duration between communicating radios are of major concern, particularly for low latency and reliable communication requirements. Many existing techniques focus on topology control by exchanging mobility parameters in control transmissions, increasing the delay in data transmission. Therefore, it is a non-trivial task to calculate the expected time for the control transmissions due to the confrontation of speed and random movement of nodes. This paper presents a novel methodology to estimate a suitable time to execute the control phase based on the lifetime of communication links between SDRs in tactical MANETs. It uses stochastic distribution to make a network capable of effectively figuring out operative connectivity. The proposed methodology evaluates the maximum network connectivity based on the distances between communicating radios and radio transmission ranges for different qualityof-service (QoS) requirements. The simulation results validate that the proposed methodology's CPT estimations are more appropriate for the timely link-formations in tactical radio MANETs. The proposed technique is generic and can be applied to any MANET environment using different mobility models.INDEX TERMS Mobile ad hoc networks, tactical network, time-critical data, software-defined radio.

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Design of trace-based NS-3 simulations for UAS video analytics with geospatial mobility

Cited by 2 publications

References 10 publications

Advanced Co-Simulation Platform for UAV Simulations Under Virtual Wireless Network Environments

Advanced Co-Simulation Platform for UAV Simulations Under Virtual Wireless Network Environments

A Stochastic Distribution Based Methodology to Estimate Control Phase Time for Software-Defined Radios in Tactical MANETs

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