Paper accepted at 14th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2017)


Paper details:
Sascha Jungen, Matteo Ceriotti, Richard Figura, Pedro José Marrón: Situated Wireless Networks Optimization through Model-based Relocation of Nodes

Abstract:

The design and deployment of networked embedded systems is challenging. In particular, the environment in which the system operates has a severe impact on the final performance. Existing tools trade generality for specificity with arbitrary setups, e.g., in simulation, or specific configurations, e.g., in public testbeds. As a result, the peculiar effect of the target deployment scenario on the system performance can only be experienced by hand. Optimising and adapting the system to the operational environment becomes then a trial and error, impractical challenge. We introduce MOTION, a hybrid modelling technique able to characterise indoor wireless communication in the target environment from measurements and descriptions, e.g., maps, of the deployment area. By exploiting all available knowledge, our model is able to increase the achieved accuracy by up to 35% in our primary evaluation scenario with respect to conventional approaches. The computed models can then support traditional design and analysis tools in investigating the impact of arbitrary displacements of devices in the target environment. E.g., by controlling the relocation of a single node based on the information provided by the model, we were able to reduce the latency of a typical application by up to 21.4%. Ultimately, our work allows situated network optimisation of wireless systems where devices can be freely moved in the environment and the corresponding impact on the network performance can be estimated beforehand.

14th, IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2017), 22 – 25 October 2017, Orlando, USA.
See more information here: https://mass2017.engineering.osu.edu/