Imperial College London
Alternate

DrDavidBoyle

Faculty of Engineering, Dyson School of Design Engineering

Senior Lecturer
 
 
 
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Contact

 

david.boyle Website

 
 
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Location

 

1M04ARoyal College of ScienceSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Chen:2021:10.1109/ICDCS47774.2020.00110,
author = {Chen, P-Y and Bhatia, L and Kolcun, R and Boyle, D and McCann, J},
doi = {10.1109/ICDCS47774.2020.00110},
pages = {574--583},
publisher = {IEEE},
title = {Contact-aware opportunistic data forwarding in disconnected LoRaWAN mobile networks},
url = {http://dx.doi.org/10.1109/ICDCS47774.2020.00110},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - LoRaWAN  is  one  of  the  leading  Low  Power  WideArea Network (LPWAN) architectures. It was originally designedfor systems consisting of static sensor or Internet of Things (IoT)devices and static gateways. It was recently updated to introducenew  features  such  as  nano-second  timestamps  which  open  upapplications to enable LoRaWAN to be adopted for mobile devicetracking and localisation. In such mobile scenarios, devices couldtemporarily  lose  communication  with  the  gateways  because  ofinterference  from  obstacles  or  deep  fading,  causing  throughputreduction  and  delays  in  data  transmission.  To  overcome  thisproblem, we propose a new data forwarding scheme. Instead ofholding the data until the next contact with gateways, devices canforward their data to nearby devices that have a higher probabil-ity of being in contact with gateways. We propose a new networkmetric  called  Real-Time  Contact-Aware  Expected  TransmissionCount  (RCA-ETX)  to  model  this  contact  probability  in  real-time.  Without  making  any  assumption  on  mobility  models,  thismetric exploits data transmission delays to model complex devicemobility.  We  also  extend  RCA-ETX  with  a  throughput-optimalstochastic  backpressure  routing  scheme  and  propose  Real-TimeOpportunistic  Backpressure  Collection  (ROBC),  a  protocol  tocounter  the  stochastic  behaviours  resulting  from  the  dynamicsassociated  with  mobility.  To  apply  our  approaches  seamlesslyto   LoRaWAN-enabled   devices,   we   further   propose   two   newLaRaWAN  classes,  namely  Modified  Class-C  and  Queue-basedClass-A.  Both  of  them  are  compatible  with  LoRaWAN  Class-Adevices. Our data-driven experiments, based on the London busnetwork, show that our approaches can reduce data transmissiondelays  up  to25%and  provide  a53%throughput  improvementin  data  transfer  performance.
AU  - Chen,P-Y
AU  - Bhatia,L
AU  - Kolcun,R
AU  - Boyle,D
AU  - McCann,J
DO  - 10.1109/ICDCS47774.2020.00110
EP  - 583
PB  - IEEE
PY  - 2021///
SP  - 574
TI  - Contact-aware opportunistic data forwarding in disconnected LoRaWAN mobile networks
UR  - http://dx.doi.org/10.1109/ICDCS47774.2020.00110
UR  - https://ieeexplore.ieee.org/document/9355763
UR  - http://hdl.handle.net/10044/1/78462
ER  -
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