ZigBee RF signal strength for indoor location sensing - Experiments and results

Author

Subaashini, K. ; Dhivya, G. ; Pitchiah, R.

Author_Institution

Centre for Dev. of Adv. Comput. (C-DAC), Chennai, India

fYear

2013

Firstpage

50

Lastpage

57

Abstract

This paper discusses about the variation of signal strength due to the presence of obstacles in an indoor environment. An experimental analysis of impact of various obstacles on ZigBee RF signals strength has been done. The results obtained by the analysis have been used to locate a user inside a smart home. The parameters like Received Signal Strength (RSSI), Link Quality Indication (LQI) and Packet Error Rate (PER) has been measured and analyzed. The location of the user is an important context, based on which various controls and services can be rendered. The objective of finding out the location is to provide various services and controls like location based luminance, personalized HVAC systems. In this paper k mean clustering algorithm has been implemented to predict the location of the user. The results show that 3 to 5 m of location accuracy has been achieved.

Keywords

HVAC; Zigbee; home computing; indoor communication; pattern clustering; LQI; PER; RSSI; ZigBee RF signal strength; indoor environment; indoor location sensing; k mean clustering algorithm; link quality indication; location based luminance; packet error rate; personalized HVAC systems; received signal strength; smart home; Accuracy; Algorithm design and analysis; Manuals; Radio frequency; Receivers; Time measurement; Transmitters; Fingerprinting; Localization; Packet Error Rate; RSSI; ZigBee;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology (ICACT), 2013 15th International Conference on

Conference_Location

PyeongChang

ISSN

1738-9445

Print_ISBN

978-1-4673-3148-7

Type

conf

Filename

6488388