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Decentralized Brains: A Reference Implementation with Performance Evaluation

 
: Ramachandran Venkatapathy, A.K.; Gouda, A.; Ten Hompel, M.; Paradiso, J.

:

Penalver, L. ; Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering -ICST-, Brussels; European Alliance for Innovation -EAI-, Gent:
Industrial IoT Technologies and Applications. 4th EAI International Conference, Industrial IoT 2020. Proceedings : Virtual Event, December 11, 2020
Brüssel: ICST, 2021 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 365)
ISBN: 978-3-030-71060-6 (Print)
ISBN: 978-3-030-71061-3 (Online)
ISBN: 978-3-030-71062-0
S.80-99
International Conference on Industrial IoT Technologies and Applications (Industrial IoT) <4, 2020, Online>
Englisch
Konferenzbeitrag
Fraunhofer IML ()

Abstract
Decentralized Brains is a concept developed for multiple parallel control of decentralized collaborative swarms and systems. This systems communication paradigm comprises of local peer-to-peer control as well as the global state management which is required for large-scale collaborative systems. The scenarios vary from self-assembly protocols for aerospace structures to organizing a warehouse in a material-handling context where heterogeneous systems collaboratively accomplish a task. A reference implementation of the conceptualized protocol is developed and deployed in a 345 node test bed. A reliable broadcast communication primitive using synchronous broadcast is deployed in a dual-band System on Chip (SoC) micro-controller. The performance of the adopted synchronous broadcast for network-wide flooding and consensus is presented in this article. The firmware is based on the latest branch of Contiki-Open Source Operating System - Next Generation (Contiki-NG) to keep further open source implementations easier and modularized as per the ISO OSI networking model. Using the concepts of multi-hop mesh networking, network flooding using synchronous broadcasts from wireless sensor networks and multi-band radio controllers for cognitive radios, a hardware-software architecture is developed, deployed and evaluated. The synchronous broadcast has a success rate of more than 95% in network wide floods and the implicit network wide time synchronisation of less than 1 μs which is evaluated using experiments using a 345 node test bed is presented in this paper. The developed communication primitives for the target hardware CC1350 STK and the developed experiments are available at https://github.com/akrv/deBr.

: http://publica.fraunhofer.de/dokumente/N-637742.html