LENS: resource specification for wireless sensor network experimentation infrastructures

  • Authors:

  • Xi Ju;Hongwei Zhang;Wenjie Zeng;Mukundan Sridharan;Jing Li;Anish Arora;Rajiv Ramnath;Yufeng Xin

  • Affiliations:

  • Wayne State University, Detroit, MI, USA;Wayne State University, detroit, MI, USA;The Ohio State University, Columbus, OH, USA;The Ohio State University, Columbus, OH, USA;The Ohio State University, Columbus, OH, USA;The Ohio State University, Columbus, OH, USA;The Ohio State University, Columbus, USA;RENCI, Chapel Hill, NC, USA

  • Venue:
  • WiNTECH '11 Proceedings of the 6th ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
  • Year:
  • 2011

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Abstract

As a first step towards predictable, repeatable WSN experimentation, we propose the resource specification language LENS (a.k.a. Language for Embedded Networked Sensing) for WSN experimentation infrastructures. Using the Resource Description Framework (RDF) and the Web Ontology Language (OWL), LENS defines a semantic ontology for WSN resources; LENS enables explicit control and measurement of uncertainty factors, and it enables reasoning about the relationships between WSN resources. Focusing on basic concepts of WSNs, LENS supports resource specification in a wide range of WSN experimentation infrastructures, and it is extensible to support potentially unforeseen technologies. LENS is also compatible with specification languages for other network resources such as optical networks. As a part of the NSF GENI initiative, we have implemented LENS in the KanseiGenie control framework, and LENS has been actively used to support experimentation in the federated WSN infrastructure involving Kansei and NetEye. Enabling reasoning about uncertainty factors in experimentation, LENS is expected to serve as a basis for developing methodologies and tools for predictable, repeatable WSN experimentation.