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  4. Self-stabilization - A mechanism to make networked embedded systems more reliable?
 
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Self-stabilization - A mechanism to make networked embedded systems more reliable?

Publikationstyp
Conference Paper
Date Issued
2016-09
Sprache
English
Author(s)
Lohs, Stefan  
Nolte, Jörg  
Siegemund, Gerry  
Turau, Volker  
Institut
Telematik E-17  
TORE-URI
http://hdl.handle.net/11420/4903
Start Page
317
End Page
326
Article Number
7794361
Citation
IEEE Symposium on Reliable Distributed Systems 2016
Contribution to Conference
IEEE Symposium on Reliable Distributed Systems 2016  
Publisher DOI
10.1109/SRDS.2016.049
Scopus ID
2-s2.0-85010210762
Publisher
IEEE
ISBN
978-1-5090-3513-7
978-1-5090-3514-4
The erratic behavior of wireless channels is still a major hurdle in the implementation of robust applications in wireless networks. In the past it has been argued that self-stabilization is a remedy to provide the needed robustness. This assumption has not been verified to the extent necessary to convince engineers implementing such applications. A major reason is that the time in which a self-stabilizing system returns to a valid state is unpredictable and potentially unbound. Failure rates typically depend on physical phenomena and in self-stabilizing systems each node tries to react to failures in an inherently adaptive fashion by the cyclic observation of its neighbors' states. When the frequency of state changes is too high, the system may never reach a state sufficiently stable for a specific task. In this paper we substantiate the conditions under which self-stabilization leads to fault tolerance in wireless networks and look at the myths about the power of self-stabilization as a particular instance of self-organization. We investigate the influences of the error rate and the neighbor state exchange rate on the stability and the convergence time on topology information acquired in real network experiments.
Subjects
Fault tolerance
Self-stabilization
Wireless sensor networks
DDC Class
620: Ingenieurwissenschaften
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