Lightweight Dependable Adaptation for Wireless Sensor Networks

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 safety-critical control is envisaged. To overcome the communication uncertainties t...

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Bibliographic Details
Main Author: Casimiro, António (author)
Other Authors: Marques, Luís (author)
Format: report
Language:eng
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10451/14145
Country:Portugal
Oai:oai:repositorio.ul.pt:10451/14145
Description
Summary: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 safety-critical 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 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.