TY - JFULL AU - G. Rajesh and B. Vinayaga Sundaram and C. Aarthi PY - 2015/4/ TI - Tree Based Data Aggregation to Resolve Funneling Effect in Wireless Sensor Network T2 - International Journal of Computer and Information Engineering SP - 859 EP - 865 VL - 9 SN - 1307-6892 UR - https://publications.waset.org/pdf/10003252 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 99, 2015 N2 - In wireless sensor network, sensor node transmits the sensed data to the sink node in multi-hop communication periodically. This high traffic induces congestion at the node which is present one-hop distance to the sink node. The packet transmission and reception rate of these nodes should be very high, when compared to other sensor nodes in the network. Therefore, the energy consumption of that node is very high and this effect is known as the “funneling effect”. The tree based-data aggregation technique (TBDA) is used to reduce the energy consumption of the node. The throughput of the overall performance shows a considerable decrease in the number of packet transmissions to the sink node. The proposed scheme, TBDA, avoids the funneling effect and extends the lifetime of the wireless sensor network. The average case time complexity for inserting the node in the tree is O(n log n) and for the worst case time complexity is O(n2). ER -