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Adaptive Data Aggregation for Clustered Wireless Sensor Networks
Description
Wireless sensor network (WSN) has emerged as an event-driven paradigm based on the collective effort of numerous sensing nodes. Due to the dynamic topology and random deployment, incorporating adaptive behavior into protocols in WSNs is important. Hence, we propose an adaptive data aggregation (ADA) scheme for the clustered WSNs. In ADA scheme, the temporal aggregation degree controlled by the reporting frequency at sensor nodes and the spatial aggregation degree controlled by the aggregation degree at Cluster Heads (CHs) are determined by the current scheme state according to the observed reliability. Furthermore, the ADA scheme is mainly performed at the sink node, with a few functions at CHs and sensor nodes. Performance results show that the scheme state converges to the desired reliability starting from any initial state.
