Study of Hybrid Localization Noncooperative Scheme in Wireless Sensor Network

Joint Authors

Supatmi, Sri
Sumitra, Irfan Dwiguna
Hou, Rongtao

Source

Wireless Communications and Mobile Computing

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-03-05

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Information Technology and Computer Science

Abstract EN

In this paper, we evaluated the experiment and analysis measurement accuracy to determine object location based on wireless sensor network (WSN).

The algorithm estimates the position of sensor nodes employing received signal strength (RSS) from scattered nodes in the environment, in particular for the indoor building.

Besides that, we considered another algorithm based on weight centroid localization (WCL).

In particular testbed, we combined both RSS and WCL as hybrid localization in case of noncooperative scheme with considering that source nodes directly communicate only with anchor nodes.

Our experimental result shows localization accuracy of more than 90% and obtained the estimation error reduction to 4% compared to existing algorithms.

American Psychological Association (APA)

Sumitra, Irfan Dwiguna& Hou, Rongtao& Supatmi, Sri. 2017. Study of Hybrid Localization Noncooperative Scheme in Wireless Sensor Network. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1206079

Modern Language Association (MLA)

Sumitra, Irfan Dwiguna…[et al.]. Study of Hybrid Localization Noncooperative Scheme in Wireless Sensor Network. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1206079

American Medical Association (AMA)

Sumitra, Irfan Dwiguna& Hou, Rongtao& Supatmi, Sri. Study of Hybrid Localization Noncooperative Scheme in Wireless Sensor Network. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1206079

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1206079