Continuous aggregation queries are used to monitor the changes in data with time varying for online decision making. For continuous queries, a low-cost and scalable technique using a network of aggregators. Individual node cannot by itself determine its inclusion in the query result for this a different algorithmic challenges from aggregate and selection queries are presented. At specific coherencies each data item can serve for a set of data aggregators. Technique involves disseminating query into sub query and sub queries are executed on the chosen data aggregators.