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Poster Année : 2019

Internet of things system for healthcare applications

Résumé

The IoT sensor networks used by patients, could support medical staff to diagnose and to monitor continuously. The human body and movement can cause interference which make the sensors retransmit the data. This will increase packet error ratio (PER). Our cross layer protocol take advantages of beacon power measurements in the node’s physical layer, to determine whether there is interference from human body or not. This information will be used by medium access control layer to decide transmission of frames. Simulation results show that there are significant improvements of PER while maintaining throughput relatively.
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Dates et versions

hal-03549758 , version 1 (31-01-2022)

Identifiants

  • HAL Id : hal-03549758 , version 1

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Prasaja Wikanta, Andy Triwinarko, Iyad Dayoub, El Hadj Dogheche. Internet of things system for healthcare applications. 10ème Edition Franco-Belge du Mardi des Chercheurs, MdC 2019, Mar 2019, Mons, Belgium. ⟨hal-03549758⟩
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