Abstract
Systems for collecting geospatial event data may be subject to challenges associated with active user input and the latency of centralized verification. A decentralized framework may passively detect and verify such events. For example, a client-side agent operating on a user device (e.g., a smartphone, wearable device, or in-vehicle system) can monitor ambient audio for predefined keywords. Upon detecting a trigger, the system may cross-reference the audio event with data from onboard physical sensors for potential local validation. If validated, the device may initiate a distributed consensus protocol, broadcasting a verification request to proximate peer devices. These peer devices may then act as witnesses, checking their own sensor data for corroborating physical evidence. This approach of distributed verification at the network edge may improve data ingestion speed and fidelity for services such as real-time mapping and navigation.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shanmugam, Dhandapani, "The Distributed Verification of Geospatial Events via Passive Audio and Local Swarm Consensus", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/9423