Paper detail

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

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.

preprint2020arXivOpen access

Signal facts

What is known right now

Open access4 authors2 topics

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.