@article{Permpol_Thammasakorn_Rujirakul_So-In_2016, title={Fuzzy Centroid Localization Scheme for Unbalanced Deployments of Wireless Sensor Networks}, volume={8}, url={https://jtec.utem.edu.my/jtec/article/view/1245}, abstractNote={This paper proposes a novel methodology to mitigate the effect of unbalanced known nodes’ positions for location approximation in wireless sensor networks. In a practical deployment, some nodes may not properly be in uniform places, and perhaps, due to unequal power consumption of large-scale networks while performing sensing, computing, and transmitting tasks. Kmeans clustering is applied to select a representative of the known nodes where their positions are close together, and each of which will be then fed into fuzzy logic systems to determine a proper weight to finally use in the actual location determination process with weighted Centroid. The effectiveness of our methodology is evaluated via a large scale simulation with regard to node density, coverage, and topology, against a traditional Centroid, its fuzzy systems, and DV-Hop.}, number={6}, journal={Journal of Telecommunication, Electronic and Computer Engineering (JTEC)}, author={Permpol, Songyut and Thammasakorn, Chudapa and Rujirakul, Kanokmon and So-In, Chakchai}, year={2016}, month={Sep.}, pages={55–59} }