“Lightweight Dependable Adaptation for Wireless Sensor Networks”
in 4th International Workshop on Dependable Network Computing and Mobile Systems (DNCMS 2011), in Proceedings of the 30th IEEE International Symposium on Reliable Distributed Systems Workshops, pages 26-35, Madrid, Spain, October 2011., Oct. 2011.
Abstract: 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.
Research line(s): Timeliness and Adaptation in Dependable Systems (TADS)