Coupling Microscopic Mobility and Mobile Network Emulation for Pedestrian Communication Applications

Network emulation is a well-established method for demonstrating and testing real devices and mobile apps in a controlled scenario. This paper reports preliminary results for an open-source extension of the CrowNet pedestrian communication framework. It enables the interaction between simulated and real devices using the emulation feature of OMNeT++. The interaction is handled by several OMNeT++ modules that can be combined to match different use-cases. Initial timing measurements have been conducted for an example application which creates decentralized pedestrian density maps based on pedestrian communication. The results indicate that the approach is feasible for scenarios with a limited number of pedestrians. This limitation is mainly due to the real-time simulation requirements in coupled emulation.

[1]  Lars Wischhof,et al.  Decentralized Pedestrian Density Maps based on Sidelink Communication , 2021, 2021 IEEE International Conference on Communications Workshops (ICC Workshops).

[2]  Li-Shiuan Peh,et al.  Similitude: Interfacing a Traffic Simulator and Network Simulator with Emulated Android Clients , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).

[3]  Lars Wischhof,et al.  Towards a Bidirectional Coupling of Pedestrian Dynamics and Mobile Communication Simulation , 2019 .

[4]  Benedikt Zönnchen,et al.  Vadere: An open-source simulation framework to promote interdisciplinary understanding , 2019, Collective Dynamics.

[5]  Giovanni Stea,et al.  Modeling Network-Controlled Device-to-Device Communications in SimuLTE , 2018, Sensors.

[6]  Giovanni Stea,et al.  Using Simu5G as a Realtime Network Emulator to Test MEC Apps in an End-To-End 5G Testbed , 2020, 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  Daniele Fontanelli,et al.  Walking Ahead: The Headed Social Force Model , 2017, PloS one.

[8]  Joao Paulo Miranda,et al.  Performance comparison of a custom emulation-based test environment against a real-world LTE testbed , 2015, WNS3 '15.

[9]  Gerta Köster,et al.  Realistic Stride Length Adaptation in the Optimal Steps Model , 2015 .

[10]  Thomas Kürner,et al.  Impact of Realistic Pedestrian Mobility Modelling in the Context of Mobile Network Simulation Scenarios , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[11]  Abdelhakim Hafid,et al.  Impact of Safety Message Generation Rules on the Awareness of Vulnerable Road Users , 2021, Sensors.

[12]  Reinhard German,et al.  Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis , 2011, IEEE Transactions on Mobile Computing.

[13]  Yitzchak M. Gottlieb,et al.  Testing android devices for tactical networks: A hybrid emulation testbed approach , 2015, MILCOM 2015 - 2015 IEEE Military Communications Conference.

[14]  Lars C. Wolf,et al.  Artery: Extending Veins for VANET applications , 2015, 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

[15]  Yun-Pang Flötteröd,et al.  Microscopic Traffic Simulation using SUMO , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).