Traffic-Adaptive and Link-Quality-Aware Communication in Wireless Sensor Networks

Hurni, Philipp (2013). Traffic-Adaptive and Link-Quality-Aware Communication in Wireless Sensor Networks. Praxis der Informationsverarbeitung und Kommunikation, 36(1), pp. 3-8. De Gruyter 10.1515/pik-2012-0138

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This paper is a summary of the main contribu- tions of the PhD thesis published in [1]. The main research contributions of the thesis are driven by the research question how to design simple, yet efficient and robust run-time adaptive resource allocation schemes within the commu- nication stack of Wireless Sensor Network (WSN) nodes. The thesis addresses several problem domains with con- tributions on different layers of the WSN communication stack. The main contributions can be summarized as follows: First, a a novel run-time adaptive MAC protocol is intro- duced, which stepwise allocates the power-hungry radio interface in an on-demand manner when the encountered traffic load requires it. Second, the thesis outlines a metho- dology for robust, reliable and accurate software-based energy-estimation, which is calculated at network run- time on the sensor node itself. Third, the thesis evaluates several Forward Error Correction (FEC) strategies to adap- tively allocate the correctional power of Error Correcting Codes (ECCs) to cope with timely and spatially variable bit error rates. Fourth, in the context of TCP-based communi- cations in WSNs, the thesis evaluates distributed caching and local retransmission strategies to overcome the perfor- mance degrading effects of packet corruption and trans- mission failures when transmitting data over multiple hops. The performance of all developed protocols are eval- uated on a self-developed real-world WSN testbed and achieve superior performance over selected existing ap- proaches, especially where traffic load and channel condi- tions are suspect to rapid variations over time.

Item Type: Journal Article (Original Article)
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
Subjects: 000 Computer science, knowledge & systems
500 Science > 510 Mathematics
ISSN: 0930-5157
Publisher: De Gruyter
Language: English
Submitter: Jonnahtan Eduardo Saltarin de Arco
Date Deposited: 10 Mar 2014 11:57
Last Modified: 18 Dec 2014 08:38
Publisher DOI: 10.1515/pik-2012-0138
BORIS DOI: 10.7892/boris.44124

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