By a News Reporter-Staff News Editor at Internet Networks & Communications -- Fresh data on Networks - Computer Networks are presented in a new report. According to news reporting originating in Jiangsu, People’s Republic of China, by VerticalNews journalists, research stated, “Wireless sensor networks (WSNs) play a very important role in realizing Internet of Things (IoT). In many WSN applications, flooding is a fundamental network service for remote network configuration, diagnosis or disseminating code updates.”
Financial support for this research came from National Natural Science Foundation of China.
The news reporters obtained a quote from the research from Nanjing Agricultural University, “Despite a plethora of research on flooding problem in the literature, there has been very limited research on flooding tree construction in asynchronous low-duty-cycle WSNs. In this paper, we focus our investigation on minimum-delay and energy-efficient flooding tree construction considering the duty-cycle operation and unreliable wireless links. We show the existence of the latency energy trade-off in flooding. We formulate the problem as a undetermined-delay-constrained minimum spanning tree (UDC-MST) problem, where the delay constraint is known a posteriori. Due to the NP completeness of the UDC-MST problem, we design a distributed Minimum-Delay Energy-efficient flooding Tree (MDET) algorithm to construct an energy optimal tree with flooding delay bounding.”
According to the news reporters, the research concluded: “Through extensive simulations, we demonstrate that MDET achieves a comparable delivery latency with the minimum delay flooding, and incurs only 10% more transmission cost than the lower bound, which yields a good balance between flooding delay and energy efficiency.”
For more information on this research see: Towards minimum-delay and energy-efficient flooding in low-duty-cycle wireless sensor networks. Computer Networks , 2018;134():66-77. Computer Networks can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Computer Networks - http://www.journals.elsevier.com/computer-networks/)
Our news correspondents report that additional information may be obtained by contacting L. Cheng, Nanjing Agr Univ, Coll Engn, Nanjing, Jiangsu, People’s Republic of China. Additional authors for this research include J.W. Niu, C.W. Luo, L. Shu, L.H. Kong, Z.W. Zhao and Y. Gu.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.comnet.2018.01.012. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-04-23), Data on Computer Networks Reported by Researchers at Nanjing Agricultural University (Towards minimum-delay and energy-efficient flooding in low-duty-cycle wireless sensor networks), Internet Networks & Communications, 4, ISSN: 1944-1827, BUTTER® ID: 015547876
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