Title :
An improved E-Min-Max localization algorithm in wireless sensor networks
Author :
Shaoguo Xie ; Yanjun Hu ; Yi Wang
Author_Institution :
Key Lab. of Intell. Comput. & Signal Process., AnHui Univ., Hefei, China
Abstract :
Min-Max localization algorithm is usually used by wireless sensor nodes because of the reason that it considers few conditions and have a coarse localization which can determine a blind node within a certain range. In this paper, we propose improved Extended Min-Max (improved E-Min-Max) algorithm for localization in wireless sensor networks (WSNs). Experimental results show that improved E-Min-Max algorithm outperforms E-Min-Max algorithm in the localization accuracy.
Keywords :
minimax techniques; sensor placement; wireless sensor networks; blind node; coarse localization; extended min-max algorithm; improved E-min-max localization algorithm; wireless sensor networks; Accuracy; Distance measurement; Mathematical model; Measurement uncertainty; Signal processing algorithms; Wireless communication; Wireless sensor networks; Localization; Min-Max; WSNs; anchor;
Conference_Titel :
Consumer Electronics - China, 2014 IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ICCE-China.2014.7029851
