DTN for WSN: FREAK, implementations and study

Sensor Networks can be envisaged to monitor mobile systems. Nevertheless, new challenges appear from mobility such as delay and connectivity disruptions. These challenges can be tackled by the Delay/Disruption Tolerant Networking architecture. However, implementing DTN mechanisms on sensors require to select the schemes which propose an efficient use of the memory. Our scheme, FREAK, aims at providing high performance with low-memory usage. This scheme relies on the mean frequency of past encounter with the base station. Transmissions are driven by this metric. The FREAK solution is keen because we assume that future can be predicted from the past events. The acknowledgements effects on performance is analysed. We run simulations using mobility quota-based mainstreammodels and real traces. FREAK is compared to several replication and quota-based mainstream DTN solutions and achieves quite better performance in realistic scenarios.