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QoS-Aware Cross-layer Configuration for Industrial Wireless Sensor Networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and System science.ORCID iD: 0000-0001-9372-3416
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
2016 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 12, no 5, 1679-1691 p., 7485858Article in journal (Refereed) Published
Abstract [en]

In many applications of Industrial Sensor Networks, stringentreliability and maximum delay constraints paired with priority demands ona sensor-basis are present. These QoS requirements pose tough challenges forIndustrial Wireless Sensor Networks that are deployed to an ever largerextent due to their flexibility and extendibility.In this paper, we introduce an integrated cross-layer framework, SchedEx-GA, spanning MAC layer and networklayer. SchedEx-GA attempts to identify a network configuration that fulfills all application-specific process requirements over a topology including the sensorpublish rates, maximum acceptable delay, service differentiation, and eventtransport reliabilities. The network configuration comprisesthe decision for routing, as well as scheduling.

For many of the evaluatedtopologies it is not possible to find a valid configuration due to the physicalconditions of the environment. We therefore introduce a converging algorithm on top of the frameworkwhich configures a given topology by additional sink positioning in order tobuild a backbone with the gateway that guaranteesthe application specific constraints.The results show that, in order to guarantee a high end-to-end reliability of 99.999% for all flows in a network containing emergency, control loop, andmonitoring traffic, a backbone with multiple sinks is often required for thetested topologies. Additional features, such as multi-channel utilization andaggregation, though, can substantially reduce the demand for required sinks.In its present version, the framework is used for centralized control, butwith the potential to be extended for de-centralized control in future work.

Place, publisher, year, edition, pages
IEEE, 2016. Vol. 12, no 5, 1679-1691 p., 7485858
Keyword [en]
Quality if Service, Priority, Wireless Sensor Networks
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-26294DOI: 10.1109/TII.2016.2576964ISI: 000389219800005Scopus ID: 2-s2.0-85012039893Local ID: STCOAI: oai:DiVA.org:miun-26294DiVA: diva2:873390
Available from: 2015-11-24 Created: 2015-11-24 Last updated: 2017-06-30Bibliographically approved
In thesis
1. End-to-End Quality of Service Guarantees for Wireless Sensor Networks
Open this publication in new window or tab >>End-to-End Quality of Service Guarantees for Wireless Sensor Networks
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Wireless sensor networks have been a key driver of innovation and societal progressover the last three decades. They allow for simplicity because they eliminate ca-bling complexity while increasing the flexibility of extending or adjusting networksto changing demands. Wireless sensor networks are a powerful means of fillingthe technological gap for ever-larger industrial sites of growing interconnection andbroader integration. Nonetheless, the management of wireless networks is difficultin situations wherein communication requires application-specific, network-widequality of service guarantees. A minimum end-to-end reliability for packet arrivalclose to 100% in combination with latency bounds in the millisecond range must befulfilled in many mission-critical applications.The problem addressed in this thesis is the demand for algorithmic support forend-to-end quality of service guarantees in mission-critical wireless sensor networks.Wireless sensors have traditionally been used to collect non-critical periodic read-ings; however, the intriguing advantages of wireless technologies in terms of theirflexibility and cost effectiveness justify the exploration of their potential for controland mission-critical applications, subject to the requirements of ultra-reliable com-munication, in harsh and dynamically changing environments such as manufactur-ing factories, oil rigs, and power plants.This thesis provides three main contributions in the scope of wireless sensor net-works. First, it presents a scalable algorithm that guarantees end-to-end reliabilitythrough scheduling. Second, it presents a cross-layer optimization/configurationframework that can be customized to meet multiple end-to-end quality of servicecriteria simultaneously. Third, it proposes an extension of the framework used toenable service differentiation and priority handling. Adaptive, scalable, and fast al-gorithms are proposed. The cross-layer framework is based on a genetic algorithmthat assesses the quality of service of the network as a whole and integrates the phys-ical layer, medium access control layer, network layer, and transport layer.Algorithm performance and scalability are verified through numerous simula-tions on hundreds of convergecast topologies by comparing the proposed algorithmswith other recently proposed algorithms for ensuring reliable packet delivery. Theresults show that the proposed SchedEx scheduling algorithm is both significantlymore scalable and better performing than are the competing slot-based schedulingalgorithms. The integrated solving of routing and scheduling using a genetic al-vvigorithm further improves on the original results by more than 30% in terms of la-tency. The proposed framework provides live graphical feedback about potentialbottlenecks and may be used for analysis and debugging as well as the planning ofgreen-field networks.SchedEx is found to be an adaptive, scalable, and fast algorithm that is capa-ble of ensuring the end-to-end reliability of packet arrival throughout the network.SchedEx-GA successfully identifies network configurations, thus integrating the rout-ing and scheduling decisions for networks with diverse traffic priority levels. Fur-ther, directions for future research are presented, including the extension of simula-tions to experimental work and the consideration of alternative network topologies.

Place, publisher, year, edition, pages
Östersund: Mid Sweden University, 2015. 97 p.
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 234
Keyword
Wireless Sensor Networks, Reliability, Quality of Service, Genetic Algorithms
National Category
Computer Systems
Identifiers
urn:nbn:se:miun:diva-26289 (URN)STC (Local ID)978-91-88025-46-3 (ISBN)STC (Archive number)STC (OAI)
Public defence
2015-12-11, L111, Holmgatan 10, Sundsvall, 10:15 (English)
Opponent
Supervisors
Note

Vid tidpunkten för disputationen var följande delarbeten opublicerade: delarbete 4 (manuskript inskickat för granskning), delarbete 5 (manuskript inskickat för granskning)

At the time of the doctoral defence the following papers were unpublished: paper 4 (manuscript under review), paper 5 (manuscript under review)

Available from: 2015-11-24 Created: 2015-11-23 Last updated: 2016-12-23Bibliographically approved

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