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Bound-based power optimization for multi-hop heterogeneous wireless industrial networks under statistical delay constraints
Fraunhofer Inst Embedded Syst & Commun Technol ES, Munich, Germany..
KTH, School of Electrical Engineering and Computer Science (EECS), Network and Systems engineering.ORCID iD: 0000-0002-0150-2489
Fraunhofer Inst Embedded Syst & Commun Technol ES, Munich, Germany..
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0001-6682-6559
2019 (English)In: Computer Networks, ISSN 1389-1286, E-ISSN 1872-7069, Vol. 148, p. 262-279Article in journal (Refereed) Published
Abstract [en]

The noticeably increased deployment of wireless networks for battery-limited industrial applications in recent years highlights the need for tractable performance analysis methodologies as well as efficient QoS-aware transmit power management schemes. In this work, we seek to combine several important aspects of such networks, i.e., multi-hop connectivity, channel heterogeneity and the queuing effect, in order to address these needs. We design delay-bound-based algorithms for transmit power minimization and network lifetime maximization of multi-hop heterogeneous wireless networks using our previously developed stochastic network calculus approach for performance analysis of a cascade of buffered wireless fading channels. Our analysis shows an overall transmit power saving of up to 95% compared to a fixed power allocation scheme in case when the service is modeled via a Shannon capacity. For a more realistic set-up, we evaluate the performance of the suggested algorithm in a WirelessHART network, which is a widely used communication standard for industrial process automation applications. We find that link heterogeneity can significantly reduce network lifetime when no efficient power management is applied. Using extensive simulation study we further show that the proposed bound-based power allocation performs reasonably well compared to the real optimum, especially in the case of WirelessHART networks.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2019. Vol. 148, p. 262-279
Keywords [en]
Stochastic network calculus, Wireless sensor networks, Multi-hop, Heterogeneous networks, End-to-end delay bound, Power minimization, Industrial networks, WirelessHART
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-245168DOI: 10.1016/j.comnet.2018.09.009ISI: 000458345100021Scopus ID: 2-s2.0-85058969247OAI: oai:DiVA.org:kth-245168DiVA, id: diva2:1294380
Note

QC 20190307

Available from: 2019-03-07 Created: 2019-03-07 Last updated: 2019-03-18Bibliographically approved

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Al-Zubaidy, HusseinGross, James

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