Co-Simulating Complex Energy Harvesting WSN Applications: An In-Tunnel Wind Powered Monitoring Example

Abstract : A complex wind-energy harvesting wireless sensor network (WSN) application for subway tunnels is pre-prototyped using the HarvWSNet co-simulation framework. Detailed models of every component, including energy harvester, tunnel propagation channel, train mobility, node power consumption, and physical layer (PHY), medium access control (MAC), routing and power aware protocols are described. Pre-prototyping simulations quickly identify the key parameters affecting the viability of the application (e.g., harvested energy, train-induced signal attenuation). Thanks to its native capacity to handle detailed charge flow models, HarvWSNet can address scenarios with complex and intermittent energy supplies. This work demonstrates how co-simulation platforms such as HarvWSNet can aid in the development and future success of energy harvesting WSN applications
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https://hal.inria.fr/hal-01264265
Contributor : Olivier Sentieys <>
Submitted on : Friday, January 29, 2016 - 10:04:27 AM
Last modification on : Tuesday, February 11, 2020 - 1:18:02 AM

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Le-Quang-Vinh Tran, Amine Didioui, Carolynn Bernier, Gregory Vaumourin, Florian Broekaert, et al.. Co-Simulating Complex Energy Harvesting WSN Applications: An In-Tunnel Wind Powered Monitoring Example. International Journal of Sensor Networks, Inderscience, 2017, 23 (2), ⟨10.1504/IJSNET.2017.081336⟩. ⟨hal-01264265⟩

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