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A review of advanced wireless sensor nodes, networks, and applications in precision agriculture has been presented. Features of several commercial and prototype sensor node platforms designed and implemented for agricultural applications have been described. Basics of sensor network protocols and topologies have been reviewed together with numerous applications. Advanced machine learning approaches...
Energy efficiency is one of the most important design requirements in wireless sensor networks (WSN). In this paper, three performed benchmarks compared code size and execution speed of ARM Cortex-M series processors with processors which are commonly used in WSN. In addition, power consumption is taken into account in order to determine energy efficiency of tested processors. Results show that recently...
The paper presents design and implementation of a wireless sensor node suitable for medical applications. As physiological signals are highly redundant, the data compression algorithms (Huffman's coding) are used to save energy and improve the node performance. Design is based on the ARM Cortex M1 processor and implemented in FPGA.
One of the main issues in wireless sensor networks is energy efficiency. Most of the energy is used for wireless transmission. To reduce an amount of data being sent, if a particular compression algorithm is used, than it can significantly reduce a power consumption and increase node's operating lifetime. Presented in this paper is a research, in which the possibility of use of IEEE 802.15.4 wireless...
In this paper we analyze performance of IEEE 802.15.4/ZigBee wireless networks in order to use these networks for transmitting different data for medical purposes such as ECG, body temperature, acceleration, etc. The aim of study is to improve efficiency of ZigBee standard by variable time and length of data transmit. The original run-length coded method is described.
In this paper we analyze performance of ZigBee wireless networks in order to use these networks for transmitting data for medical purposes such as ECG, body temperature, acceleration and etc. The aim of study is to make quantification of a complex electromagnetic field (EMF) and predict the intensity of coverage area of EMF on human subjects inside the wireless sensor network.
Application of information technologies (IT) and wireless networking will liberate people from such confinement and enable continuous real time monitoring of physiological data, which is vital for medical care. To achieve this goal, it is necessary research and development on wearable intelligent sensor devices, sensor miniaturization, signal processing, wireless transmission, and databases for these...
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