Low-Powered Wireless Sensor Network for Indoor Localization
| Main Author: | Widyawan, Widyawan |
|---|---|
| Format: | Article PeerReviewed application/pdf |
| Bahasa: | eng |
| Terbitan: |
, 2010
|
| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/33067/1/A_low_powered_wireless_sensor.pdf https://repository.ugm.ac.id/33067/ |
Daftar Isi:
- The proliferation of wireless sensor networks (WSN) open a possibility for use in indoor localization. WSN is intended principally for monitoring and control applications that demand very low power consumption from a battery source. This study investigates the use of WSN for indoor localization. The WSN is used to track and detect the location of a moving object inside a building. This system was developed in the context of WSN application for enabling and supporting improved facilities management. The overall goal of the facilities management is to improve energy efficiency of a building. Bayesian probabilistic approach implemented as particle filter and map filtering algorithm is presented. The location system performance is also evaluated. It is found that the location system provide reliable prediction (μ = 2.17m with σ = 1.27m).