RSS-Distance Rationalization Procedure for Localization in an Indoor Environment - Wireless Sensor Network

WSN > Vol.11 No.2, February 2019

Wireless Sensor Network

Volume 11, Issue 2 (February 2019)

ISSN Print: 1945-3078 ISSN Online: 1945-3086

Google-based Impact Factor: 3.25 Citations

RSS-Distance Rationalization Procedure for Localization in an Indoor Environment ()

HTML XML

Download as PDF (Size: 2591KB) PP. 13-33

DOI: 10.4236/wsn.2019.112002 1,103 Downloads 3,047 Views Citations

Author(s)

Adeniran Ademuwagun

Affiliation(s)

University of Aberdeen King’s College, Aberdeen, UK.

ABSTRACT

The computational capabilities of off-the-shelf wireless sensors networks presents a limitation when more complex forms of localization algorithms are employed for location estimation purposes, particularly in an indoor environment. Range-free algorithms rely on Received Signal Strength (RSS) from sensors that are location aware (anchor nodes) as the major means of distance estimation. This paper presents a non-site specific algorithm for better estimating RSS relationship with distance. By employing a unique form of rationalization of raw RSS with respect to distance using the proposed algorithm, it is possible to enhance the reliability of RSS when employed in indoor Localization Algorithms. Consequently, this paper presents an innovative RSS-Distance rationalization algorithm for localization of objects in an indoor environment. The paper compared the proposed algorithm with Simple Moving Average (SMA) algorithm due to the wide applicability and ease of manipulation of SMA. The analysis of the proposed algorithm and SMA shows that the proposed algorithm better modifies RSS for more accurate position estimation in an indoor environment.

KEYWORDS

Anchor Nodes, Received Signal Strength (RSS), Localization Algorithm, Simple Moving Average (SMA)

Share and Cite:

Ademuwagun, A. (2019) RSS-Distance Rationalization Procedure for Localization in an Indoor Environment. Wireless Sensor Network, 11, 13-33. doi: 10.4236/wsn.2019.112002.

Cited by

[1]	A Collaborative Localization and Guidance Method of Multiple UGVs for Logistics Delivery
	2023 China Automation …, 2023

[2]	Ultra-wideband Received Signal Strength Analysis for UAV Indoor NLOS Navigation
	2023 Power Quality and …, 2023

[3]	Node Localization in a Network of Doppler Shift Sensor Using Multilateral Technique
	Green Intelligent Systems and Applications, 2022

[4]	Wireless Sensor Network Target Localization Algorithm Based on Two‐and Three‐Dimensional Delaunay Partitions
	Journal of Sensors, 2021

[5]	Wireless Sensor Network Target Localization Algorithm Based on Two-and Three-Dimensional Delaunay Partitions
	Journal of Sensors, 2021

Journals Menu

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journals Menu

Home

About SCIRP

Service

Policies