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Autonomous Execution of Reliable Sensor Network Applications on Varying Node Hardware

Autonomous Execution of Reliable Sensor Network Applications on Varying Node Hardware

Steffen Ortmann, Peter Langendoerfer
Copyright: © 2015 |Pages: 62
ISBN13: 9781466663596|ISBN10: 1466663596|EISBN13: 9781466663602
DOI: 10.4018/978-1-4666-6359-6.ch024
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MLA

Ortmann, Steffen, and Peter Langendoerfer. "Autonomous Execution of Reliable Sensor Network Applications on Varying Node Hardware." Handbook of Research on Innovations in Systems and Software Engineering, edited by Vicente García Díaz, et al., IGI Global, 2015, pp. 602-663. https://doi.org/10.4018/978-1-4666-6359-6.ch024

APA

Ortmann, S. & Langendoerfer, P. (2015). Autonomous Execution of Reliable Sensor Network Applications on Varying Node Hardware. In V. Díaz, J. Lovelle, & B. García-Bustelo (Eds.), Handbook of Research on Innovations in Systems and Software Engineering (pp. 602-663). IGI Global. https://doi.org/10.4018/978-1-4666-6359-6.ch024

Chicago

Ortmann, Steffen, and Peter Langendoerfer. "Autonomous Execution of Reliable Sensor Network Applications on Varying Node Hardware." In Handbook of Research on Innovations in Systems and Software Engineering, edited by Vicente García Díaz, Juan Manuel Cueva Lovelle, and B. Cristina Pelayo García-Bustelo, 602-663. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6359-6.ch024

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Abstract

The authors present a user-centric design flow for ease of use for specifying Wireless Sensor Network applications even for heterogeneous hardware. The design flow provides very high abstraction and user guidance to refrain the user from implementation, deployment, and hardware details including heterogeneity of the available sensor nodes. Automatic event configuration is accomplished by using a flexible Event Specification Language (ESL) and Event Decision Trees (EDTs) for distributed detection and determination of real world phenomena. EDTs autonomously adapt to heterogeneous availability of sensing capabilities by pruning and subscription to other nodes for missing information. The authors analyze the approaches in theory and praxis. They present two of numerous simulated scenarios proving the robustness and energy efficiency of the approach while having learnt appropriate configuration properties that are required for correct sensing. They can deal with failing sensors despite performing pretty well in terms of accuracy and number of messages exchanged.

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