Proceedings of the 32nd IEEE Symposium on Reliable Distributed Systems (SRDS'13), Braga, Portugal, September 2013
Real-time operation in Wireless Sensor Networks
(WSNs) is conditioned not only by the current technological
level (e.g., limited computing power) but also inherently by the
target problem itself: WSNs are required to operate in very
open and uncertain environments, subject to external radio
interferences, highly dynamic network load, etc.
Current WSN solutions either provide only best-effort realtime
guarantees or make (generally implicit) assumptions on
the dynamics of the open environment. These assumptions,
in turn, are either very relaxed (i.e., compatible only with
undemanding real-time requirements) or very hard to justify.
When dealing with WSNs supporting highly dynamic applications
and operating environments (e.g., media streaming,
robot control, vehicle coordination, etc.) this problem cannot
be ignored. Accordingly, we argue for, and show the efficacy of,
using probabilistic models to characterize dynamic WSN QoS,
which is the first step to tackle the problem head on. Using
our network monitoring technique, we demonstrate that it is
possible to meet probabilistic real-time objectives.
@inproceedings{Marques:13a, author = {Marques, Lu\'{\i}s and Casimiro, Ant\'{o}nio}, title = {Fighting Uncertainty in Highly Dynamic Wireless Sensor Networks with Probabilistic Models}, booktitle = {Proceedings of the 32nd IEEE Symposium on Reliable Distributed Systems (SRDS'13)}, year = {2013}, month = [Sep}, address = {Braga, Portugal}, pages = {31-40}, url = {http://dx.doi.org/10.1109/SRDS.2013.12}, doi = {10.1109/SRDS.2013.12}, publisher = {IEEE}, abstractURL = {http://www.di.fc.ul.pt/~casim/papers/ascoms12/ascoms12.html}, documentURL = {http://www.di.fc.ul.pt/~casim/papers/ascoms12/ascoms12.pdf}, keywords = {Wireless Sensor Networks; real-time; dependability; adaptation; 802.15.4; non-parametric; lightweight; QoS;}, }