Impacts of Brooks Iyengar Algorithm on PhD Dissertations

The SDSN-Aggregation: The SDSN aggregation method uses a combination of methods ”Brooks-Iyengar algorithm” and ”Witness based approach for data fusion assurance” to achieve the aggregation. The aggregation method should work for multiple data types and for different densities of the network. The SDSN-aggregation is event-based, it is triggered on an aggregation request by another node or when new data is available. All data types have specific parameters for the freshness function which indicates if the sensor data is still fresh enough for aggregation or not. To use this implementation it is important to known the location of the sensor data and the time of the sensor data.