Benefits of building wireless sensor networks on commodity hardware and software stacks

Bajema, Nigel B., Trevathan, Jarrod, Bergmann, Niel W., Atkinson, Ian, Read, Wayne, Scarr, Adam, Lee, Yong Jin, and Johnstone, Ron (2011) Benefits of building wireless sensor networks on commodity hardware and software stacks. In: Proceedings of 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp. 282-287. From: ISSNIP 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 6-9 December 2011, Adelaide, SA, Australia.

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Abstract

The majority of wireless sensor networks are built on bespoke platforms, that is, custom designed and built hardware with a light weight software stack. There are a number of advantages to this approach. First, the ability to closely match and minimise the resource requirements (e.g., power consumption and communications protocols) to those that are suitable for the intended deployment. Second, as an entire hardware and software stack is often designed or at least optimised for each deployment, the latest advances can be quickly incorporated. However, this model generally requires the expertise of hardware and software engineers to design and build the system. In turn, this increases the cost and tends to shift the focus away from the initial science towards the development of the wireless sensor networks. This paper explores the utility and practicality of building wireless sensor networks based on commercially available embedded single board computing platforms using standard consumer operating systems. Our test bed was built using Gumstix computing platform, running a Linux Operating System (OS) with a java-based middleware coupled to low-cost scientific grade sensors. Test deployments have found this to be a highly versatile solution, able to leverage the flexibility of commodity hardware and software while maintaining reasonable utility.

Item ID: 18973
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: WSN, commodity stacks
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ISBN: 978-1-4577-0675-2
Date Deposited: 22 Mar 2012 05:52
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 50%
09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified @ 50%
SEO Codes: 96 ENVIRONMENT > 9606 Environmental and Natural Resource Evaluation > 960699 Environmental and Natural Resource Evaluation not elsewhere classified @ 50%
89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified @ 50%
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