As much as accurate or precise position estimation is always desirable, coarse accuracy due to sensor node localization is often sufficient. For such level of accuracy, Range-free localization techniques are being explored as low cost alternatives to range based localization techniques. To manage cost, few loca-tion aware nodes, called anchors are deployed in the wireless sensor environ-ment. It is from these anchors that all other free nodes are expected to esti-mate their own positions. This paper therefore, takes a look at some of the foremost Range-free localization algorithms, detailing their limitations, with a view to proposing a modified form of Centroid Localization Algorithm called Reach Centroid Localization Algorithm. The algorithm employs a form of anchor nodes position validation mechanism by looking at the consistency in the quality of Received Signal Strength. Each anchor within the vicinity of a free node seeks to validate the actual position or proximity of other anchors within its vicinity using received signal strength. This process mitigates mul-tipath effects of radio waves, particularly in an enclosed environment, and consequently limits localization estimation errors and uncertainties. Centroid Localization Algorithm is then used to estimate the location of a node using the anchors selected through the validation mechanism. Our approach to lo-calization becomes more significant, particularly in indoor environments, where radio signal signatures are inconsistent or outrightly unreliable. Simu-lated results show a significant improvement in localization accuracy when compared with the original Centroid Localization Algorithm, Approximate Point in Triangulation and DV-Hop.
CITATION STYLE
Ademuwagun, A., & Fabio, V. (2017). Reach Centroid Localization Algorithm. Wireless Sensor Network, 09(02), 87–101. https://doi.org/10.4236/wsn.2017.92005
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