TARWIS - A Testbed Management Architecture for Wireless Sensor Network Testbeds

Hurni, Philipp; Anwander, Markus; Wagenknecht, Gerald; Staub, Thomas; Braun, Torsten (2011). TARWIS - A Testbed Management Architecture for Wireless Sensor Network Testbeds. In: International Conference on Network and Service Management (CNSM), Paris, France (pp. 1-4). IEEE

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With research on Wireless Sensor Networks (WSNs) becoming more and more mature in the past five years, researchers from universities all over the world have set up testbeds of wireless sensor networks, in most cases to test and evaluate the real-world behavior of developed WSN protocol mechanisms. Although these testbeds differ heavily in the employed sensor node types and the general architectural set up, they all have similar requirements with respect to management and scheduling functionalities: as every shared resource, a testbed requires a notion of users, resource reservation features, support for reprogramming and reconfiguration of the nodes, provisions to debug and remotely reset sensor nodes in case of node failures, as well as a solution for collecting and storing experimental data. The TARWIS management architecture presented in this paper targets at providing these functionalities independent from node type and node operating system. TARWIS has been designed as a re-usable management solution for research and/or educational oriented research testbeds of wireless sensor networks, relieving researchers intending to deploy a testbed from the burden to implement their own scheduling and testbed management solutions from scratch.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Hurni, Philipp, Anwander, Markus, Wagenknecht, Gerald, Staub, Thomas, Braun, Torsten

ISBN:

978-1-4577-1588-4

Publisher:

IEEE

Language:

English

Submitter:

Dimitrios Xenakis

Date Deposited:

04 Oct 2013 14:27

Last Modified:

05 Dec 2022 14:08

URI:

https://boris.unibe.ch/id/eprint/9963 (FactScience: 215780)

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