Abstract:
This paper proposes a QoS-constrained Deviation-Avoidance Tree with anchor node (Q-DATa) approach that can support not only the efficient update and query operations but also QoS guarantee for the two operations. The proposed Q-DATa approach can designate, according to the QoS constraints, the anchor nodes that aggregate and store the sensory data, so that the query from sink and update from sensor nodes are sent to the anchor node to meet their QoS constraints. The simulation results show that the Q-DATa not only inherits the merits from the DAT approach but also guarantees the QoS in terms of delay and loss rate requirements. Moreover, with the respect of the weighted delay value, the Q-DATa approach outperforms the DAT approach, under most of the conditions.

Keywords: WSN, Data Aggregation, QoS, Object Tracking.