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Towards multiprocessor sensor nodes

Published: 28 June 2010 Publication History

Abstract

Wireless Sensor Network (WSN) software is typically organized as a set of modules and depending on the application only necessary modules are selected, compiled and installed on a sensor node. This software flexibility is currently not matched by available hardware platforms. A sensor node always provides the same single microcontroller regardless of application requirements; efficiency is limited by the need to support the worst-case processing demands of the system. We argue that the central processing unit can be replaced by a number of less capable, interconnected and more specialized microcontrollers focused on specific tasks. Thus, unutilised processing hardware can easily be removed from the platform. This paper presents the results of an early experimental study into the benefits of using a multiprocessor sensor node architecture. The study shows that the desired hardware configuration flexibility can be achieved with relatively low overheads while supporting established sensor node programming concepts.

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Cited By

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  • (2016)Design of a multi-sensor inertial data acquisition system for patient health monitoring with real time operating system2016 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT)10.1109/ICACCCT.2016.7831727(685-689)Online publication date: May-2016
  • (2016)Interrupts Become Features: Using On-Sensor Intelligence for Recognition TasksEmbedded Engineering Education10.1007/978-3-319-27540-6_12(171-185)Online publication date: 20-Jan-2016
  • (2014)Application design and performance evaluation for multiprocessor sensor nodes2014 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2014.6953072(3272-3277)Online publication date: Apr-2014
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cover image ACM Other conferences
HotEmNets '10: Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors
June 2010
89 pages
ISBN:9781450302654
DOI:10.1145/1978642
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 28 June 2010

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Cited By

View all
  • (2016)Design of a multi-sensor inertial data acquisition system for patient health monitoring with real time operating system2016 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT)10.1109/ICACCCT.2016.7831727(685-689)Online publication date: May-2016
  • (2016)Interrupts Become Features: Using On-Sensor Intelligence for Recognition TasksEmbedded Engineering Education10.1007/978-3-319-27540-6_12(171-185)Online publication date: 20-Jan-2016
  • (2014)Application design and performance evaluation for multiprocessor sensor nodes2014 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2014.6953072(3272-3277)Online publication date: Apr-2014
  • (2014)Hardware-software co-design for heterogeneous multiprocessor sensor nodes2014 IEEE Global Communications Conference10.1109/GLOCOM.2014.7036778(20-25)Online publication date: Dec-2014
  • (2013)An RTOS-based architecture for industrial wireless sensor network stacks with multi-processor support2013 IEEE International Conference on Industrial Technology (ICIT)10.1109/ICIT.2013.6505847(1216-1221)Online publication date: Feb-2013
  • (2012)SmartEyeProceedings of the seventh ACM international workshop on Wireless network testbeds, experimental evaluation and characterization10.1145/2348688.2348702(59-66)Online publication date: 22-Aug-2012

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