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Power minimization for industrial wireless networks under statistical delay constraints

 
: Petreska, Neda; Al-Zubaidy, Hussein; Gross, James

:
Postprint urn:nbn:de:0011-n-3132951 (509 KByte PDF)
MD5 Fingerprint: bbb337c1867222463ec3c563c87c6a56
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Erstellt am: 8.11.2014


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Communications Society:
26th International Teletraffic Congress, ITC 2014 : 9-11 September 2014, Karlskrona, Sweden
Piscataway, NJ: IEEE, 2014
ISBN: 978-0-9836283-9-2
ISBN: 978-0-9883045-0-5
9 S.
International Teletraffic Congress (ITC) <26, 2014, Karlskrona/Sweden>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer ESK
power minimization; WirelessHart; industrial networks; stochastic network calculus; delay; lokales Funknetz; LFN; Local Wireless Networks; Wireless Automation Networks; ICW; calculus; fading; quality of service; signal to noise ratio; wireless communication; QoS; wireless sensor network

Abstract
Energy efficiency is a very important aspect of modern communication systems. In particular, industrial applications, that deploy wireless machine-to-machine communication and process automation, demand energy-efficient communication in order to prolong battery lifetime and reduce inter-node interference, while maintaining a predefined probabilistic delay bound. In this work, we propose an algorithm that minimizes the transmit power in a WirelessHART network under statistical delay constraints. We achieve this by utilizing a recently developed network calculus approach for wireless networks performance analysis. The evaluation of the algorithm shows that it reaches quasi-minimal power settings within a few iterations.

: http://publica.fraunhofer.de/dokumente/N-313295.html