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arXiv · 2002.00578

Empirical Feasibility Analysis for Energy Harvesting Intra-Vehicular Wireless Sensor Networks

Abstract

Vehicle electronic systems currently utilize wired networks for power delivery (from the main battery) and communication (e.g., LIN, CAN, FlexRay) between nodes. Wired networks cannot practically accommodate nodes in moving parts (e.g., tires) and with the increasing functional complexity in vehicles, they require kilometer-long harnesses, significantly increasing fuel consumption and manufacturing and design costs. As an alternative, energy harvesting intra-vehicular wireless sensor networks (IVWSN) can accommodate nodes in all locations and they obviate the need for wiring, significantly lowering costs. In this paper, we empirically analyze the feasibility of such an IVWSN framework via extensive in-vehicle measurements for communications at 2.4 GHz, ultra wideband (UWB) and millimeter wave (mmWave) frequencies together with radio frequency (RF), thermal and vibration energy harvesting. Our analyses show that mmWave performs best for short line-of-sight (LoS) links in the engine compartment with performance close to UWB for LoS links in the chassis and passenger compartments in terms of worst case signal-to-interference-and-noise-ratio. For non-LoS links, which appear especially more in the engine compartment and chassis, UWB provides the highest security and reliability. 2.4 GHz suffers heavily from interference in all compartments while UWB utilizes narrowband suppression techniques at the cost of lower bandwidth; mmWave inherently experiences very low interference due to its propagation characteristics. On the other hand, RF energy harvesting provides up to 1 mW of power in all compartments. Vibration and thermal energy harvesters can supply all nodes consuming <10 mW in the engine compartment and all <5 mW nodes in the chassis. In the passenger compartment, thermal harvesting is not available due to low temperature gradients but vibration and RF sources can supply <1 mW nodes.

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BibTeXRIS

Mertkan Koca, Gokhan Gurbilek, Burak Soner, Sinem Coleri. 2020-02-03. Empirical Feasibility Analysis for Energy Harvesting Intra-Vehicular Wireless Sensor Networks. https://arxiv.org/abs/2002.00578

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