International Journal of Networked and Distributed Computing

Volume 5, Issue 2, March 2017, Pages 101 - 112

An Innovative Positioning System with Unsynchronized Interferometric Modulated Signals in Wireless Sensor Networks

Authors
Ruiling Gao, Alva Couch, Chorng Hwa Chang
Corresponding Author
Ruiling Gao
Available Online 31 March 2017.
DOI
https://doi.org/10.2991/ijndc.2017.5.2.5How to use a DOI?
Keywords
sensor localization; radio interferometric positioning system; unsynchronized; CC2420
Abstract
In this paper, we investigate the sensor localization problem and present Stochastic Radio Interferometric Positioning System with Unsynchronized Modulated Signals (SRIPS_UMS). Previous radio interferometric positioning methods have limitations include (1) strict hardware requirements for Received Signal Strength Indicator (RSSI) circuitry (2) time synchronization problem between distributed hardware. SRIPS_UMS overcomes these by using unsynchronized interferometric modulated signals. Its viability and advantages are demonstrated through mathematical models and extensive simulations. Further, the ongoing hardware implementation based on CC2420 is presented.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Journal
International Journal of Networked and Distributed Computing
Volume-Issue
5 - 2
Pages
101 - 112
Publication Date
2017/03
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
https://doi.org/10.2991/ijndc.2017.5.2.5How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Ruiling Gao
AU  - Alva Couch
AU  - Chorng Hwa Chang
PY  - 2017
DA  - 2017/03
TI  - An Innovative Positioning System with Unsynchronized Interferometric Modulated Signals in Wireless Sensor Networks
JO  - International Journal of Networked and Distributed Computing
SP  - 101
EP  - 112
VL  - 5
IS  - 2
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2017.5.2.5
DO  - https://doi.org/10.2991/ijndc.2017.5.2.5
ID  - Gao2017
ER  -