The sensor nodes in sensor networks are limited in power, computational capacities, and memory. In order to fulfill these limitations an appropriate strategy is needed. Data aggregation is one of the power saving strategies in sensor networks, combining the data that comes from many sensor nodes into a set of the meaningful information. This paper proposes a new data aggregation algorithm named DAUCH (Data Aggregation algorithm Using DAG rooted at the Cluster Head) for clustering distributed nodes in sensor networks, combining the random cluster head election technique in LEACH with DAG in TORA. The proposed algorithm outperforms LEACH due to the less transmission power. Our simulation reveals that approximately a 4% improvement is accomplished comparing to the number of nodes alive with LEACH.
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