Chen, Y., Pan, Q., Liang, Y. and Hu, Z. (2010) Awcl: Adaptive Weighted Centroid Target Localization Algorithm Based on RSSI in WSN. 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), Chengdu, 9-11 July 2010, 331-336.
https://doi.org/10.1109/ICCSIT.2010.5565022

has been cited by the following article:

• TITLE: RSS-Distance Rationalization Procedure for Localization in an Indoor Environment

  AUTHORS: Adeniran Ademuwagun

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

  JOURNAL NAME: Wireless Sensor Network, Vol.11 No.2, February 28, 2019

  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.