PhD dissertation entitled "Towards Fault Reactiveness in Wireless Sensor Networks with Mobile Carrier Robots". It features the following scientific contributions:
- A distributed protocol that allows a robot team to cooperatively surround a geographical point of interest with multiple, concentric sensor layers was proposed.
- The use of Computational Intelligence techniques (evolutionary and bio-inspired metaheuristic optimization) to derive good-quality replacement trajectories for one or more mobile robots to replace damaged sensors with passive, spare ones throughout the deployment field.
- A multi-modular architecture of a risk management framework for wireless sensor networks was also part of the thesis contributions. The risk visualization and risk assessment modules were completed. The former relies on an evolving clustering algorithm based on the shadowed set formalism and the latter is a rule-based module.