A sensor positioning scheme using neighbor density probability models in irregular wireless sensor networks

Abstract

In wireless sensor networks, the positions of sensor nodes are very important for many applications. If each sensor node provides information with less positioning error, the positioning information will be reliable. One of the most representative positioning schemes, called DV-HOP is low for positioning accuracy in irregular network environments. Moreover, because it requires many anchor nodes for high accuracy, it is expensive to construct the network. To overcome such problems, we propose a novel sensor positioning scheme in irregular wireless sensor networks. By doing so, the proposed scheme ensures the high accuracy of sensor positioning in non-uniform networks. To show the superiority of our proposed scheme, we compare it with the existing scheme. Our experimental results show that our proposed scheme improves about 36 % sensor positioning accuracy over the existing scheme on average even in irregular sensor networks. © 2013 Springer Science+Business Media.