Abstract

Location-based distributed communication in underground mines has been a hard problem to solve due to unreliable centralized architecture such as leaky feeder systems, high attenuation, and the unavailability of GPS signals. Delay Tolerant Networks (DTN) enable decentralized message routing using the store-carry-forward method that can help in creating situational awareness needed to handle emergency and disaster scenarios. The ability to predict where the DTN nodes (miner) might have been at/are headed to (with respect to the mine regions and pillars) at different times, combined with contact-based routing and intelligent handling of buffer, can be used for better delivery of messages. To this end, we propose a hybrid approach, called MinerRouter, that uses Random Forest (RF) and Graph Autoencoder (GAE) - Long Short-Term Memory (LSTM) model to exploit the short- and long-mobility patterns of miners, respectively for faster message/content dissemination. Our simulations show that MinerRouter outperforms Opportunistic RF (RF), Opportunistic Contact Graph Routing (O-CGR), MaxProp, SemiBlind, and Blind routing protocols in terms of the delivery ratio of messages received, message latency, buffer occupancy Rate, communication overhead costs, and hop count.

Department(s)

Computer Science

Second Department

Mining Engineering

Keywords and Phrases

Location-based; routing; underground mines

International Standard Serial Number (ISSN)

1551-6245

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Jan 2024

Download

Full Text Link

Share

 
COinS