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The dual processor platform architecture: demo abstract

Published: 16 April 2019 Publication History

Abstract

The Dual Processor Platform (DPP) is a novel architecture template for networked embedded systems based on a strictly asynchronous processor interconnect that allows to minimize interference with a proven predictable behavior [7]. Contrary to traditional platforms [1, 5] DPP tries to mitigate interference by isolating different tasks and mapping them onto dedicated hardware resources. Typically, two different task sets - (i) sensing/actuation/data processing and (ii) communication - are mapped onto two different physically separated processing elements (usually low-power microcontrollers), allowing each to be optimized according to their individual requirements. Such hardware partitioning is a standard approach, frequently found in more complex sensor system implementations [2]. While the communication processor handles wireless packet transmission and reception, the application processor is dedicated to the sensor data acquisition, processing and actuation. But this strict separation of resources and function also requires a processor interconnect: BOLT [7], a stateful processor interconnect specifically designed based on this paradigm allows a strict decoupling of the power, clock and time domains of the two processing elements by allowing only asynchronous message passing between the two. The strict limitation to an asynchronous interface allows for predictable run-time behavior that, in addition to typical behavior observed from experiments, has been formally verified [7]. The most notable advantages of this approach are:
Modularity Exchanging one of the components is hassle free and does not require a change to the other components.
Simpler software The complexity of software development and validation is significantly reduced by task decoupling.
Parallel development Development of the two separate entities can take place independently.
Independent power management Each subsystem can take independent decisions on when to utilize low-power modes.

References

[1]
Henri Dubois-Ferrière, Laurent Fabre, Roger Meier, and Pierre Metrailler. 2006. TinyNode: A Comprehensive Platform for Wireless Sensor Network Applications. In Proc. 5th Int'l Conf. Information Processing in Sensor Networks (IPSN '06). ACM, New York, NY, USA, 358--365.
[2]
Luca Girard, Jan Beutel, Stephan Gruber, Josua Hunziker, Roman Lim, and Samuel Weber. 2012. A custom acoustic emission monitoring system for harsh environments: application to freezing-induced damage in alpine rock walls. Geoscientific Instrumentation, Methods and Data Systems 1, 2 (2012), 155--167.
[3]
Roman Lim, Federico Ferrari, Marco Zimmerling, Christoph Walser, Philipp Sommer, and Jan Beutel. 2013. FlockLab: A Testbed for Distributed, Synchronized Tracing and Profiling of Wireless Embedded Systems. In Proc. 12th Int'l Conf. Information Processing in Sensor Networks (IPSN '13). ACM, New York, NY, USA, 153--166.
[4]
Matthias Meyer, Timo Farei-Campagna, Akos Pasztor, Reto Da Forno, Tonio Gsell, Jerome Failletaz, Andreas Vieli, Samuel Weber, Jan Beutel, and Lothar Thiele. 2019. Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge. In Proc. 18th Int'l Conf. Information Processing in Sensor Networks (IPSN '19). ACM, New York, NY, USA, .
[5]
Joseph Polastre, Robert Szewczyk, and David Culler. 2005. Telos: Enabling Ultra-low Power Wireless Research. In Proc. 4th Int'l Symp. Information Processing in Sensor Networks (IPSN '05). IEEE Press, Piscataway, NJ, USA, Article 48.
[6]
Felix Sutton, Reto Da Forno, David Gschwend, Tonio Gsell, Roman Lim, Jan Beutel, and Lothar Thiele. 2017. The Design of a Responsive and Energy-Efficient Event-Triggered Wireless Sensing System. In Proc. 2017 Int'l Conf. on Embedded Wireless Systems and Networks (EWSN '17). Junction Publishing, USA, 144--155.
[7]
Felix Sutton, Marco Zimmerling, Reto Da Forno, Roman Lim, Tonio Gsell, Georgia Giannopoulou, Federico Ferrari, Jan Beutel, and Lothar Thiele. 2015. Bolt: A Stateful Processor Interconnect. In Proc. 13th Int'l ACM Conf. Embedded Networked Sensor Systems (SenSys '15). ACM, New York, NY, USA, 267--280.

Cited By

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  • (2023)Energy-Efficient Bootstrapping in Multi-hop Harvesting-Based Networks2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)10.23919/WONS57325.2023.10062242(1-8)Online publication date: 30-Jan-2023
  • (2023)Understanding Concurrent Transmissions: The Impact of Carrier Frequency Offset and RF Interference on Physical Layer PerformanceACM Transactions on Sensor Networks10.1145/360443020:1(1-39)Online publication date: 10-Jun-2023
  • (2023)Hydra: Concurrent Coordination for Fault-tolerant NetworkingProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3587047(219-232)Online publication date: 9-May-2023
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Conferences
IPSN '19: Proceedings of the 18th International Conference on Information Processing in Sensor Networks
April 2019
365 pages
ISBN:9781450362849
DOI:10.1145/3302506
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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In-Cooperation

  • IEEE-SPS: Signal Processing Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2019

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Author Tags

  1. low-power
  2. modular architecture
  3. sensor network platforms

Qualifiers

  • Demonstration

Funding Sources

  • nano-tera.ch

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IPSN '19
Sponsor:

Acceptance Rates

IPSN '19 Paper Acceptance Rate 25 of 91 submissions, 27%;
Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

View all
  • (2023)Energy-Efficient Bootstrapping in Multi-hop Harvesting-Based Networks2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)10.23919/WONS57325.2023.10062242(1-8)Online publication date: 30-Jan-2023
  • (2023)Understanding Concurrent Transmissions: The Impact of Carrier Frequency Offset and RF Interference on Physical Layer PerformanceACM Transactions on Sensor Networks10.1145/360443020:1(1-39)Online publication date: 10-Jun-2023
  • (2023)Hydra: Concurrent Coordination for Fault-tolerant NetworkingProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3587047(219-232)Online publication date: 9-May-2023
  • (2023)LSR: Energy-Efficient Multi-Modulation Communication for Inhomogeneous Wireless IoT NetworksACM Transactions on Internet of Things10.1145/35793664:2(1-36)Online publication date: 10-Jan-2023
  • (2022)A Soft Coprocessor Approach for Developing Image and Video Processing Applications on FPGAsJournal of Imaging10.3390/jimaging80200428:2(42)Online publication date: 11-Feb-2022
  • (2022)Demo Abstract: DPP3e: A Harvesting-based Dual Processor Platform for Advanced Indoor Environmental Sensing2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN54338.2022.00048(495-496)Online publication date: May-2022
  • (2021)STeCProceedings of the 19th ACM Conference on Embedded Networked Sensor Systems10.1145/3485730.3485951(274-287)Online publication date: 15-Nov-2021
  • (2021)Non-Intrusive Distributed Tracing of Wireless IoT Devices with the FlockLab 2 TestbedACM Transactions on Internet of Things10.1145/34802483:1(1-31)Online publication date: 27-Oct-2021
  • (2020)The Impact of the Physical Layer on the Performance of Concurrent Transmissions2020 IEEE 28th International Conference on Network Protocols (ICNP)10.1109/ICNP49622.2020.9259407(1-12)Online publication date: 13-Oct-2020
  • (2019)Towards a methodology for experimental evaluation in low-power wireless networkingProceedings of the 2nd Workshop on Benchmarking Cyber-Physical Systems and Internet of Things10.1145/3312480.3313173(18-23)Online publication date: 15-Apr-2019

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