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Adaptive Forward Error Correction for Best Effort Wireless Sensor Networks
Mälardalen University, School of Innovation, Design and Engineering.
Mid Sweden University.
ABB, Corporate Research.
ABB, Corporate Research.ORCID iD: 0000-0002-7159-7508
2012 (English)In: 2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012, 7104-7109 p.Conference paper (Refereed)
Abstract [en]

In this work we propose an Adaptive Forward Error Correction (AFEC) algorithm for best effort Wireless Sensor Networks. The switching model is described in terms of a finite-state Markov model and it is based on the channel behavior,observed via Packet Delivery Ratio in the recent past. We compare the performance of AFEC with static FEC, as well as uncoded transmissions. The results demonstrate a gain in PDR achieved by introducing FEC coding in uncoded IEEE 802.15.4 transmissions, as well as the advantages over static FEC schemes,namely increased throughput and reduced energy consumption.The proposed solution is IEEE 802.15.4-compliant and requires no additional feedback channels.

Place, publisher, year, edition, pages
2012. 7104-7109 p.
National Category
Communication Systems Engineering and Technology
URN: urn:nbn:se:mdh:diva-15219DOI: 10.1109/ICC.2012.6364798ISI: 000312855707072ScopusID: 2-s2.0-84871987704ISBN: 978-1-4577-2051-2ISBN: 978-1-4577-2052-9OAI: diva2:549336
IEEE International Conference on Communications, ICC 2012; Ottawa; 10 June 2012 through 15 June 2012

 This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

Available from: 2012-09-04 Created: 2012-09-04 Last updated: 2013-12-03Bibliographically approved
In thesis
1. On Reliable Real Time Communication in Industrial Wireless Sensor Networks
Open this publication in new window or tab >>On Reliable Real Time Communication in Industrial Wireless Sensor Networks
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In the industrial automation, Industrial Wireless Sensor Networks (IWSNs) have been increasingly applied due to a great number of benefits such as convenient installation, flexible deployment and cost efficiency. Compared with conventional wireless systems, IWSNs have more stringent requirements communication reliability and real time performance. However, IWSNs are frequently deployed in a hash industrial environment with electromagnetic disturbances, moving objects and non-line-of-sight (NLOS) communication. Because of the vulnerability of wireless signal, IWSNs are under high risk oftransmission failures, which may result in missing or delaying of process orcontrol data. For industrial automation, missing the process or control deadlineis intolerable, which may terminate industrial application and finally result in economic loss and safety problems. From hierarchy point of view, the high communication reliability and low communication latency can be achieved from different network layers. OnMAC layer, existing protocols in IWSNs only provide automatic repeat request (ARQ) to improve reliability at the cost of real time performance. Analternative method is to apply Forward Error Correction (FEC) mechanism on MAC layer to provide more reliable transmissions and reduce acknowledgement messages by recovering error data. On network layer, routing protocolplays an important role in both communication reliability and latency. Traditionalrouting protocols in IWSNs are either hardly able to fulfill both of these requirements or overcomplicated.In this thesis, we initially explore the possibilities of introducing FEC intoIWSN under the requirements of the existing standard on MAC layer. Then we propose compatible and flexible FEC schemes on MAC layer for IWSNs without violating the standard format. Routing protocols based on flooding are proved to increase the Packet Delivery Ratio (PDR) by transmission diversity.We propose reliable and robust routing protocols with respect to high reliability and real time performance for IWSNs.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2012
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 158
National Category
Communication Systems
Research subject
Computer Science
urn:nbn:se:mdh:diva-15270 (URN)978-91-7485-082-6 (ISBN)
2012-10-16, Gamma, Västerås, 13:15 (English)
Available from: 2012-09-10 Created: 2012-09-09 Last updated: 2012-10-02Bibliographically approved

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