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

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

doi:10.1117/12.2588317

12 April 2021 Distributed network communication using B.A.T.M.A.N. algorithm over LoRa

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

Author Affiliations +

Proceedings Volume 11742, Radar Sensor Technology XXV; 117420C (2021) https://doi.org/10.1117/12.2588317
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

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.

Conference Presentation

Citation Download Citation

Frederick M. Chache, Sean Maxon, Ram M. Narayanan, and Ramesh Bharadwaj "Distributed network communication using B.A.T.M.A.N. algorithm over LoRa", Proc. SPIE 11742, Radar Sensor Technology XXV, 117420C (12 April 2021); https://doi.org/10.1117/12.2588317

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE