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IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY A NEURAL DATA-DRIVEN ALGORITHM FOR SMART SAMPLING
2015
Scientific Journal Impact Factor: 3.449 (ISRA)
unpublished
Wireless sensor network (WSN) have gained much more attention from researchers. WSN makes the use of sensor nodes generally battery-operated .Their prevalence is threatened by a number of technical difficulties, especially the shortage of energy. To overcome this problem, we propose a smart reduction in data communication by sensors. In order to reduce the measurements, we present a data prediction method based on neural networks which performs an adaptive, data-driven, and non-uniform
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