Comparing and Refining Gossip Protocols for Fault Tolerance in Wireless P2P Systems
Dr.-Ing. Tobias Simon
Dr.-Ing. Daniel Klan
Prof. Dr.-Ing. habil. Kai-Uwe Sattler
- As a special type of wireless P2P systems, sensor networks are often deployed for detecting events caused by disasters. The peer-to-peer mode of the sensor system itself gets challenged either directly by damages of the disaster or by unreliable wireless links. This work explores possible failure models and compares the performance of several gossip protocols corresponding to the failures models. With further refinement of the gossip protocols, the performance in the failure modes caused by disasters is improved. The evaluation of our simulation results shows that using refined gossip protocols in correspondence to the failure models, the information aggregation and dissemination speed, communication cost and the accuracy of the aggregated data
can be improved.