4th International Workshop on Dependable Network Computing and Mobile Systems (DNCMS'11), in Proceedings of the 30th IEEE Symposium on Reliable Distributed Systems Workshops (SRDS'11),Madrid, Spain, October 2011
Achieving dependable and real-time operation in
Wireless Sensor Networks (WSNs) is a hard and open problem.
This can be an obstacle for many applications, namely in
the automotive and medical domains, particularly if safetycritical
control is envisaged. To overcome the communication
uncertainties that are intrinsic to wireless and dynamic environments,
a generic approach is to constantly adapt to environment
conditions. This requires appropriate solutions to characterize
such conditions.
This paper contributes with a lightweight solution for a
dependable characterization of network QoS metrics, which is
thus appropriate to support dependable adaptation in WSNs.
The proposed solution offers probabilistic guarantees, building
on non-parametric stochastic analysis to achieve fast and
effective results. The paper also provides an evaluation of the
solution.
@inproceedings{Marques:11a,
author = {Marques, L. and Casimiro, A.},
title = {Lightweight Dependable Adaptation for Wireless Sensor Networks},
booktitle = {2011 30th IEEE Symposium on Reliable Distributed Systems Workshops (SRDSW), 4th International Workshop on Dependable Network Computing and Mobile Systems (DNCMS'11)},
year = {2011},
month = {Oct},
pages = {26-35},
isbn = {978-1-4577-1624-9},
address = {Madrid. Spain},
doi = {10.1007/978-3-642-33675-1_13},
url = {http://dx.doi.org/10.1109/SRDSW.2011.13},
publisher = {IEEE},
abstractURL = {http://www.di.fc.ul.pt/~casim/papers/dncms11/dncms11.html},
documentURL = {http://www.di.fc.ul.pt/~casim/papers/dncms11/dncms11.pdf},
keywords={quality of service;wireless sensor networks;QoS metrics;WSN;lightweight dependable adaptation;nonparametric stochastic analysis;safety-critical control;wireless sensor networks;Complexity theory;Histograms;Monitoring;Probability distribution;Quality of service;Real time systems;Wireless sensor networks;QoS;adaptation;dependability;lightweight;non-parametric;wireless sensor networks},
}