Improving transmission reliability in wireless sensor networks using network coding

Wireless sensor networks employed in industrial and other special applications have strict requirements concerning the transmission reliability, delays and energy efficiency. This paper proposes a scalable approach for increasing transmission reliability in wireless sensor networks, based on a coope...

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Bibliographic Details
Published in:Telecommunication systems 2015-08, Vol.59 (4), p.509-521
Main Authors: Kiss, Zsuzsanna Ilona, Polgar, Zsolt Alfred, Stef, Mihai Petru, Bota, Vasile
Format: Article
Language:English
Subjects:
Artificial Intelligence
Automation
Business and Management
Codes
Coding
Computer Communication Networks
Cooperation
Delay
Energy
Energy consumption
Energy management
Error analysis
Genetic algorithms
IT in Business
Mathematical models
Network management systems
Networks
Probability Theory and Stochastic Processes
Remote sensors
Scalability
Sensors
Studies
Telecommunications systems
Wireless networks
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Summary:Wireless sensor networks employed in industrial and other special applications have strict requirements concerning the transmission reliability, delays and energy efficiency. This paper proposes a scalable approach for increasing transmission reliability in wireless sensor networks, based on a cooperative scheme that uses Reed–Solomon codes as network code. The block error rate of the proposed coded transmission technique is analyzed in several scenarios and it is shown that our solution improves the error performance even for high coding rates. The paper proposes also a genetic algorithm based optimization of the network code functionality by selecting the most cooperation capable devices. The proposed network coding based solution is compared with automatic repeat request transmissions from the point of view of the resource usage, which influences the energy efficiency and the transmission delays. The evaluations performed show that network coded transmissions can ensure better error performance with significantly less resources.
ISSN:1018-4864
1572-9451
DOI:10.1007/s11235-014-9911-6