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Titlebook: Computational Intelligence in Sensor Networks; Bijan Bihari Mishra,Satchidanand Dehuri,Himansu Da Book 2019 Springer-Verlag GmbH Germany,

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樓主: Eschew
41#
發(fā)表于 2025-3-28 15:35:10 | 只看該作者
,Digitale Supply-Chain-F?higkeiten,eless sensor networks comprise of huge number of spatially distributed, low-power, low-cost and intelligent autonomous sensors with one or more base stations which cooperatively monitor environment or physical conditions such as pressure, temperature, sound or motion. Efficiency of any routing proto
42#
發(fā)表于 2025-3-28 19:29:23 | 只看該作者
43#
發(fā)表于 2025-3-29 02:50:34 | 只看該作者
Schriften zur Unternehmensentwicklungk (WSN) is its limited processing capability, bandwidth scarcity, insufficient memory, etc. In reality, the sensors (EEG, ECG, and so on) continuously sense the highly sensitive data, and send to the medical server leading to numerous challenges. The integration of cloud computing and WSNs with inte
44#
發(fā)表于 2025-3-29 06:58:48 | 只看該作者
45#
發(fā)表于 2025-3-29 11:16:24 | 只看該作者
Strategische Gruppen in der Bauindustried from ground water and a obscurity to right of entry is observed at the moment in a number of countries, and enough conservation policy have to be applied in direct to go with the client desires and keep away from non-ecological slaughter. Starting vision, the latest SN technologies is the feasible
46#
發(fā)表于 2025-3-29 15:18:39 | 只看該作者
47#
發(fā)表于 2025-3-29 17:04:24 | 只看該作者
Strategische Gruppen und Strategieforschungg the power consumption like sensor node, communication protocols and packet data transfer. After power analysis of WSN, it is identified that reduction in power consumption of sensor nodes is vital in WSN. Nowadays, FPGA configurable architecture becomes attractive solutions to design the sensor no
48#
發(fā)表于 2025-3-29 19:47:01 | 只看該作者
49#
發(fā)表于 2025-3-29 23:54:23 | 只看該作者
50#
發(fā)表于 2025-3-30 07:35:16 | 只看該作者
https://doi.org/10.1007/978-3-662-13057-5f the spectrum remain unused. To cope with this situation, a new communication paradigm is introduced, known as Cognitive Radio (CR). One of the main challenges in Cognitive Radio Network (CRN) is the sharing of spectrum. Spectrum sharing allows several CR nodes for transmission by using vacant spec
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