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http://dx.doi.org/10.1093/cid/ciz699 | DOI Listing |
Clin Infect Dis
May 2020
Expert Stewardship, Inc, Newport Beach, California.
Sensors (Basel)
June 2018
Department of Information Security Engineering, Soonchunhyang University, Asan 31538, Korea.
The Internet of Things (IoT) utilizes algorithms to facilitate intelligent applications across cities in the form of smart-urban projects. As the majority of devices in IoT are battery operated, their applications should be facilitated with a low-power communication setup. Such facility is possible through the Low-Power Wide-Area Network (LPWAN), but at a constrained bit rate.
View Article and Find Full Text PDFScientificWorldJournal
May 2015
Universidad Autónoma de Tamaulipas, UAMRR, Carr. Reynosa-San Fernando S/N, Colonia Arcoiris, 88779 Reynosa, TAMPS, Mexico.
The problem of obtaining the transmission rate in an ad hoc network consists in adjusting the power of each node to ensure the signal to interference ratio (SIR) and the energy required to transmit from one node to another is obtained at the same time. Therefore, an optimal transmission rate for each node in a medium access control (MAC) protocol based on CSMA-CDMA (carrier sense multiple access-code division multiple access) for ad hoc networks can be obtained using evolutionary optimization. This work proposes a genetic algorithm for the transmission rate election considering a perfect power control, and our proposition achieves improvement of 10% compared with the scheme that handles the handshaking phase to adjust the transmission rate.
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