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End-to-End Reliability-aware Scheduling for Wireless Sensor Networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and System science. (SNS)ORCID iD: 0000-0001-9372-3416
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (SNS)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (SNS)
2016 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 12, no 2, 758-767 p.Article in journal (Refereed) Published
Abstract [en]

Wireless Sensor Networks (WSN) are gaining popularity as a flexible and economical alternative to field-bus installations for monitoring and control applications. For missioncritical applications, communication networks must provide endto- end reliability guarantees, posing substantial challenges for WSN. Reliability can be improved by redundancy, and is often addressed on the MAC layer by re-submission of lost packets, usually applying slotted scheduling. Recently, researchers have proposed a strategy to optimally improve the reliability of a given schedule by repeating the most rewarding slots in a schedule incrementally until a deadline. This Incrementer can be used with most scheduling algorithms but has scalability issues which narrows its usability to offline calculations of schedules, for networks that are rather static. In this paper, we introduce SchedEx, a generic heuristic scheduling algorithm extension which guarantees a user-defined end-to-end reliability. SchedEx produces competitive schedules to the existing approach, and it does that consistently more than an order of magnitude faster. The harsher the end-to-end reliability demand of the network, the better SchedEx performs compared to the Incrementer. We further show that SchedEx has a more evenly distributed improvement impact on the scheduling algorithms, whereas the Incrementer favors schedules created by certain scheduling algorithms.

Place, publisher, year, edition, pages
2016. Vol. 12, no 2, 758-767 p.
Keyword [en]
Mission-Critical, Industrial Wireless Sensor Net- works, Reliable Packet Delivery, TDMA
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:miun:diva-24017DOI: 10.1109/TII.2014.2382335ISI: 000373949100030Scopus ID: 2-s2.0-84963878040Local ID: STCOAI: oai:DiVA.org:miun-24017DiVA: diva2:774509
Projects
ASIS
Funder
Knowledge Foundation
Available from: 2014-12-23 Created: 2014-12-23 Last updated: 2017-08-15Bibliographically 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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