@article{(Open Science Index):https://publications.waset.org/pdf/10003252,
	  title     = {Tree Based Data Aggregation to Resolve Funneling Effect in Wireless Sensor Network},
	  author    = {G. Rajesh and  B. Vinayaga Sundaram and  C. Aarthi},
	  country	= {},
	  institution	= {},
	  abstract     = {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).},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {3},
	  year      = {2015},
	  pages     = {860 - 865},
	  ee        = {https://publications.waset.org/pdf/10003252},
	  url   	= {https://publications.waset.org/vol/99},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 99, 2015},
	}