Distributed network communication using B.A.T.M.A.N. algorithm over LoRa

Frederick M. Chache, Sean Maxon, Ram M. Narayanan, Ramesh Bharadwaj

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Internet of Things (IoT) has become a fast growing research topic in recent years. Internet connected sensors and devices allow for the collection and processing of a wealth of data. This in conjunction with sensor fusion can provide greater accuracy in object recognition and detection surpassing what could be obtained by sensors operating independently. However these distributed sensors must often operate in environments with poor to no access to the internet which can greatly reduce their effectiveness. Additionally these sensors can be attached to highly dynamic platforms further complicating communication and data routing. One possible solution is to use the B.A.T.M.A.N. (Better Approach To Mobile Ad hoc Networking) routing protocol adapted for use with LoRa, a low power long range RF protocol, to route sensor data through other nodes in order to reach internet access points and allow these devices to interact with the cloud that would have otherwise been unable. Other adaptations to the algorithm will be investigated, such as including other sensors, like GPS and message signal strength to better predict route quality. This system shows promise to be an effective, fault-tolerant solution for this application.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XXV
EditorsKenneth I. Ranney, Ann M. Raynal
PublisherSPIE
ISBN (Electronic)9781510643215
DOIs
StatePublished - 2021
EventRadar Sensor Technology XXV 2021 - Virtual, Online, United States
Duration: Apr 12 2021Apr 16 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11742
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRadar Sensor Technology XXV 2021
Country/TerritoryUnited States
CityVirtual, Online
Period4/12/214/16/21

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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