An Adaptive Connectivity-based Centroid Algorithm for Node Positioning in Wireless Sensor Networks

  • Aries Pratiarso Politeknik Elektronika Negeri Surabaya
  • Prima Kristalina Politeknik Elektronika Negeri Surabaya


In wireless sensor network applications, the position of nodes is randomly distributed following the contour of the observation area. A simple solution without any measurement tools is provided by range-free method. However, this method yields the coarse estimating position of the nodes. In this paper, we propose Adaptive Connectivity-based (ACC) algorithm. This algorithm is a combination of Centroid as range-free based algorithm, and hop-based connectivity algorithm. Nodes have a possibility to estimate their own position based on the connectivity level between them and their reference nodes. Each node divides its communication range into several regions where each of them has a certain weight depends on the received signal strength. The weighted value is used to obtain the estimated position of nodes. Simulation result shows that the proposed algorithm has up to 3 meter error of estimated position on 100x100 square meter observation area, and up to 3 hop counts for 80 meters' communication range. The proposed algorithm performs an average error positioning up to 10 meters better than Weighted Centroid algorithm.

Keywords: adaptive, connectivity, centroid, range-free.


Download data is not yet available.


Y. Liu and Z. Yang, Location, Localization, and Localizability: Location-awareness Technology for Wireless Networks. Springer Science & Business Media, 2010.

G. Mao, B. D. O. Anderson, and B. Fidan, Path Loss Exponent Estimation for Wireless Sensor Network Localization, Comput Netw, vol. 51, no. 10, pp. 2467–2483, Jul. 2007.

P. Kristalina, W. Wirawan, and G. Hendrantoro, Improve the Robustness of Range-Free Localization Methods on Wireless Sensor Networks using Recursive Position Estimation Algorithm, ITB J. Inf. Commun. Technol., vol. 5, no. 3, pp. 207–226, 2011.

J. Blumenthal, R. Grossmann, F. Golatowski, and D. Timmermann, Weighted Centroid Localization in Zigbee-based Sensor Networks, in IEEE International Symposium on Intelligent Signal Processing, 2007. WISP 2007, 2007, pp. 1–6.

S. Yun, Centroid Localization Method in Wireless Sensor Networks using TSK Fuzzy Modelling, in International Symposium on Advanced Intelligent Systems, Sokcho, Korea, 2005, pp. 971–974.

B. Deng, G. Huang, L. Zhang, and H. Liu, Improved centroid localization algorithm in WSNs, in 3rd International Conference on Intelligent System and Knowledge Engineering, 2008. ISKE 2008, 2008, vol. 1, pp. 1260–1264.

C. Hai-qing, W. Hua-kai, and W. Hua, Research on Centroid Localization Algorithm That Uses Modified Weight in WSN, in 2011 International Conference on Network Computing and Information Security (NCIS), 2011, vol. 2, pp. 287–291.

N. Bulusu, J. Heidemann, and D. Estrin, GPS-less low-cost outdoor localization for very small devices, IEEE Pers. Commun., vol. 7, no. 5, pp. 28–34, Oct. 2000.

D. Niculescu and B. Nath, DV Based Positioning in Ad Hoc Networks, Telecommun. Syst., vol. 22, no. 1–4, pp. 267–280, Jan. 2003.

How to Cite
Pratiarso, A., & Kristalina, P. (2015). An Adaptive Connectivity-based Centroid Algorithm for Node Positioning in Wireless Sensor Networks. EMITTER International Journal of Engineering Technology, 3(1), 153-163.