Abstract
Evaluations of Internet of Things (IoT) and Wireless Sensor Network (WSN) applications demonstrate the significant and still existing gap between examinations with generic simulation environments and real-life (e.g., field test) or controlled (e.g., testbed) sensor network deployments in terms of realistic and accurate results. The separated use of single examination approaches is often not enough to overcome all evaluation challenges. We therefore propose a combination of discrete-event simulation, radio-channel emulation, and real hardware working together on different layers of the protocol stack of the system-under-test. Our combined approach reduces the gap between abstract simulations and network testbed experiments by providing adjustable radio conditions for repeatable evaluations of WSN and IoT networks.
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Notes
- 1.
INET framework website: https://inet.omnetpp.org/.
- 2.
RoSeNet radio channel emulation platform: https://www.dresden-elektronik.de/ingenieurtechnik/development/research/rosenet/.
- 3.
PCAPNG capture file format: https://github.com/pcapng/pcapng.
- 4.
ATmega128RFA1: http://www.microchip.com/wwwproducts/en/ATmega128RFA1.
- 5.
Wireshark network protocol analyzer: https://www.wireshark.org/.
- 6.
RCB128RFA1 Radio Controller Board: http://www.dresden-elektronik.de/funktechnik/products/reference-designs/atmel-radio-controller-boards/radio-controller-boards/.
- 7.
Texas Instruments (TI) CC2531: http://www.ti.com/product/CC2531.
- 8.
SmartRF Protocol Packet Sniffer http://www.ti.com/tool/PACKET-SNIFFER.
- 9.
Radiotap project website: https://www.radiotap.org/.
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Acknowledgement
Parts of this work were funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) through the Central Innovation Programme (ZIM initiative) under Contract No. ZF4119201ED5.
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Böhm, S., Kirsche, M. (2018). Unifying Radio-in-the-Loop Channel Emulation and Network Protocol Simulation to Improve Wireless Sensor Network Evaluation. In: Baum, M., Brenner, G., Grabowski, J., Hanschke, T., Hartmann, S., Schöbel, A. (eds) Simulation Science. SimScience 2017. Communications in Computer and Information Science, vol 889. Springer, Cham. https://doi.org/10.1007/978-3-319-96271-9_14
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