Distance estimation based on RSSI and Log-Normal shadowing models for ZigBee wireless sensor network

Time cited in Arcif : 
1

Author

Muhammad, Salim Latif

Source

Engineering and Technology Journal

Issue

Vol. 34, Issue 15A (31 Dec. 2016), pp.2950-2959, 10 p.

Publisher

University of Technology

Publication Date

2016-12-31

Country of Publication

Iraq

No. of Pages

10

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

Abstract EN

In the last few years, a mobile wireless sensor and its application in wireless sensor network (WSN) are commonly used.

Localization of a mobile sensor node is considered a critical issue in some WSN applications.

In this paper, an outdoor environments experiment was carried out to measure the distance between the mobile node and the coordinator node in a simple point-to-point ZigBee WSN.

The distance was determined based on the measured Received Signal Strength Indicator (RSSI) of the mobile node by the coordinator node.

In addition, a Log-Normal Shadowing Model (LNSM) was derived for outdoor condition.

Moreover, the parameters of the propagation channel such as standard deviation and a path loss exponent were estimated.

The RSSI was measured and analysed for outdoor environments for a distance range 1-100 m.

The measurements were carried out by using 2.4 GHz ZigBee wireless protocol based on XBee series 2 modules.

The results disclosed that the mean absolute error (MAE) of 3.44 and 6.72 m for a distance range 0-65 m and 0-100 m, respectively.

These results point that the LNSM is only suited for short distance.

American Psychological Association (APA)

Muhammad, Salim Latif. 2016. Distance estimation based on RSSI and Log-Normal shadowing models for ZigBee wireless sensor network. Engineering and Technology Journal،Vol. 34, no. 15A, pp.2950-2959.
https://search.emarefa.net/detail/BIM-770761

Modern Language Association (MLA)

Muhammad, Salim Latif. Distance estimation based on RSSI and Log-Normal shadowing models for ZigBee wireless sensor network. Engineering and Technology Journal Vol. 34, no. 15A (2016), pp.2950-2959.
https://search.emarefa.net/detail/BIM-770761

American Medical Association (AMA)

Muhammad, Salim Latif. Distance estimation based on RSSI and Log-Normal shadowing models for ZigBee wireless sensor network. Engineering and Technology Journal. 2016. Vol. 34, no. 15A, pp.2950-2959.
https://search.emarefa.net/detail/BIM-770761

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 2958-2959

Record ID

BIM-770761