@article{(Open Science Index):https://publications.waset.org/pdf/5132,
	  title     = {Tree-on-DAG for Data Aggregation in Sensor Networks},
	  author    = {Prakash G L and  Thejaswini M and  S H Manjula and  K R Venugopal and  L M Patnaik},
	  country	= {},
	  institution	= {},
	  abstract     = {Computing and maintaining network structures for efficient
data aggregation incurs high overhead for dynamic events
where the set of nodes sensing an event changes with time. Moreover,
structured approaches are sensitive to the waiting time that is used
by nodes to wait for packets from their children before forwarding
the packet to the sink. An optimal routing and data aggregation
scheme for wireless sensor networks is proposed in this paper. We
propose Tree on DAG (ToD), a semistructured approach that uses
Dynamic Forwarding on an implicitly constructed structure composed
of multiple shortest path trees to support network scalability. The key
principle behind ToD is that adjacent nodes in a graph will have
low stretch in one of these trees in ToD, thus resulting in early
aggregation of packets. Based on simulations on a 2,000-node Mica2-
based network, we conclude that efficient aggregation in large-scale
networks can be achieved by our semistructured approach.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {1},
	  year      = {2009},
	  pages     = {95 - 101},
	  ee        = {https://publications.waset.org/pdf/5132},
	  url   	= {https://publications.waset.org/vol/25},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 25, 2009},