By a News Reporter-Staff News Editor at Telecommunications Weekly -- A new study on Data Aggregation is now available. According to news originating from Colorado City, Colorado, by VerticalNews correspondents, research stated, "Due to the similarity and correlation among sensed data in wireless sensor network, it is an important way to reduce the number of packets transmitted with data aggregation technology so as to prolong the network lifetime. However, data aggregation is still a challenging issue since quality-of-service, such as end-to-end delay, is generally considered as a severe criterion required in many applications."
Our news journalists obtained a quote from the research from Colorado Technical University, "We focus on the minimum-latency data aggregation problem and proposed a new efficient scheme for it. The basic idea is that we first build an aggregation tree by ordering nodes into layers, and then we proposed a scheduling algorithm on the basis of the aggregation tree to determine the transmission time slots for all nodes in the network with collision avoiding. We have proved that the upper bound for data aggregation with our proposed scheme is bounded by (15R + Delta - 15) for wireless sensor networks in two-dimensional space."
According to the news editors, the research concluded: "Extensive simulation results have demonstrated that the proposed scheme has better practical performance compared with related works."
For more information on this research see: Layer-Based Data Aggregation and Performance Analysis in Wireless Sensor Networks. Journal of Applied Mathematics, 2013;():1-12. Journal of Applied Mathematics can be contacted at: Hindawi Publishing Corporation, 410 Park Avenue, 15TH Floor, #287 Pmb, New York, NY 10022, USA. (Hindawi Publishing - www.hindawi.com; Journal of Applied Mathematics - www.hindawi.com/journals/jam/)
The news correspondents report that additional information may be obtained from H.J. Cheng, Colorado Technical Univ, Sch Comp Sci, Colorado City, CO 80907, United States. Additional authors for this research include Y.Z. Chen, N.X. Xiong and F.F. Li.
Keywords for this news article include: Colorado City, United States, Information Technology, North and Central America, Information and Data Aggregation
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