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Fade Depth Prediction Using Human Presence for Real Life WSN Deployment


Horvat, Goran; Rimac-Drlje, Snježana; Žagar, Drago
Fade Depth Prediction Using Human Presence for Real Life WSN Deployment // Radioengineering, 22 (2013), 3; 758-768 (međunarodna recenzija, članak, znanstveni)


Naslov
Fade Depth Prediction Using Human Presence for Real Life WSN Deployment

Autori
Horvat, Goran ; Rimac-Drlje, Snježana ; Žagar, Drago

Izvornik
Radioengineering (1210-2512) 22 (2013), 3; 758-768

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Fade depth prediction; human presence; human density; received strength signal indicator; wireless sensor net-works; ZigBee.

Sažetak
Current problem in real life WSN deployment is determining fade depth in indoor propagation scenario for link power budget analysis using (fade margin parameter). Due to the fact that human presence impacts the performance of wireless networks, this paper proposes a statistical approach for shadow fading prediction using various real life parameters. Considered parameters within this paper include statistically mapped human presence and the number of people through time compared to the received signal strength. This paper proposes an empirical model fade depth prediction model derived from a comprehensive set of measured data in indoor propagation scenario. It is shown that the measured fade depth has high correlations with the number of people in non-line-of-sight condition, giving a solid foundation for the fade depth prediction model. In line-of-sight conditions this correlations is significantly lower. By using the proposed model in real life deployment scenarios of WSNs, the data loss and power consumption can be reduced by the means of intelligently planning and designing Wireless Sensor Network.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekt / tema
165-0361630-1636 - Adaptivni prijenos videosignala radijskim mrežama u heterogenom okruženju (Snježana Rimac-Drlje, )
165-0362027-1479 - Širokopojasni pristup i internetske usluge u ruralnim područjima (Drago Žagar, )

Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • INSPEC