Pregled bibliografske jedinice broj: 888608
How much can we trust the RSSI for IoT indoor location-based services?
How much can we trust the RSSI for IoT indoor location-based services? // Proceedings of 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Split, Hrvatska, 2017. str. - doi:10.23919/SOFTCOM.2017.8115543 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
How much can we trust the RSSI for IoT indoor location-based services?
Autori
Risteska Stojkoska, Biljana ; Nižetić Kosović, Ivana ; Jagušt, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
/ - , 2017
Skup
2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Mjesto i datum
Split, Hrvatska, 21.09.2017. - 23.09.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
indoor localization ; smartphone ; RSSI
Sažetak
One of the key challenges in the ever-changing ubiquitous computing environment of Internet of Things is accurate determination of each of its’ elements location. Indoor localization for smartphones has been in line with this research initiatives in the last decade, along with the inherited background from wireless sensor networks perspective. Therefore, most of the algorithms from the literature are based on distance measurements obtained from radio signal strength ranging technique and evaluated mostly through simulations. In this paper, we experimentally evaluated a well-known technique for localization based on multidimensional scaling, using different models of smartphones. Additionally, we analyzed the behavior of the signal strength measured by the smartphones under different field condition. From our results, we concluded that Radio Signal Strength Indicator has to be combined with more accurate ranging techniques into hybrid solutions in order to be used for the purpose of indoor localization of smartphones.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb