Abstract
An improved DV-Hop localization algorithm for wireless sensor networks is presented in this paper. The new algorithm improved two parts: (1) beacon nodes at the borderland of network are fixed (2) it uses Least square method to correct the average distance per hop. Then based on the DV-HOP, each node obtains the distances and hops. Unknown nodes can calculate their location with maximum likelihood estimation. Node ratio and network connectivity are simulated with DV-Hop localization algorithm and our method. it shows that the location error of the proposed algorithm is lower than DV-HOP algorithm while the location accuracy is higher.
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Choi, S.-H., Kim, B.-K., Park, J., Kang, C.-H., Eom, D.-S.: An Implementation of Wireless Sensor Network. IEEE Transactions on Consumer Electronics 50(1), 236–244 (2004)
Akyildiz, I.F., Su, W., Sankarasubraminiam, Y., Cayirci, E.: A survey on Sensor Networks. IEEE Communications Magazine 40, 102–114 (2002)
Zhang, J., Li, W., Cui, D., Sun, X., Zhou, F.: Study on Improved DV-Hop Node Localization Algorithm in Wireless Sensor Network. In: IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1855–1858 (2010)
Bao, X., Bao, F., Zhang, S., Liu, L.: An Improved DV-Hop Localization Algorithm for Wireless Sensor Networks. In: The 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM 2010), pp. 1–4 (2010)
Dai, Y., Wang, J., Zhang, C.: A Location Algorithm in Wireless Sensor Networks. In: International Conference on Internet Technology and Applications, pp. 1–3 (2010)
Li, Y., Yu, H., Su, B., Shang, Y.: Hybrid Micropower Source for Wireless Sensor Network. IEEE Sensors Journal 8(6), 678–681 (2008)
Xiao, Y., Chen, H., Wu, K., Sun, B., Zhang, Y., Sun, X., Liu, C.: Coverage and Detection of a Randomized Scheduling Algorithm in Wireless Sensor Networks. IEEE Transactions on Computers 59(4), 507–521 (2010)
Ke, W.-C., Liu, B.-H., Tsai, M.-J.: Efficient Algorithm for Constructing Minimum Size Wireless Sensor Networks to Fully Cover Critical Square Grids. IEEE Transactions on Wireless Communications 10(4), 1154–1164 (2011)
Jun, Y., Wei, Y.: Joint Source Coding, Routing and Power Allocation in Wireless Sensor Networks. IEEE Transactions on Wireless Communications 56(6), 886–896 (2008)
Shi, W., Jia, C., Liang, H.: An improved DV-HOP localization algorithm for Wireless Sensor Networks. Chinese Journal of Sensors and Actuators 24(1), 83–87 (2011)
Hu, F., Meng, X.: Revision Hops within a certain space range DV-HOP localization algorithm. Computer Systems Applications 20(3), 49–53 (2011)
Li, R., Fang, Z., Yi, T.: Improved DV-HOP localization algorithm based on regularly moving anchor (RMAN) and received signal strength indicator (RSSI) and its performance analysis. Journal of Jilin University (Engineering and Technology Edition) 41(2), 435–441 (2011)
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Tao, X., Zou, G., Yi, Y., Ping, W. (2012). An Improved DV-HOP Localization Algorithm Based on Beacon Nodes at Borderland of Wireless Sensor Networks. In: Zhang, Y. (eds) Future Wireless Networks and Information Systems. Lecture Notes in Electrical Engineering, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27323-0_19
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DOI: https://doi.org/10.1007/978-3-642-27323-0_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27322-3
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