An Advanced DV-Hop Localization Algorithm for Random Mobile Nodes in Wireless Sensor Networks.

Localization is one of the most crucial part in wireless sensor networks, as various applications require accurate location of the sensor nodes. Although many algorithms have been proposed for precise location estimation, few studies have considered node mobility along with energy consumption. An advanced DV-Hop localization algorithm with minimum energy-efficient connected dominating set (MEECDS) is proposed in the present study. Initially, MEECDS is constructed as a virtual backbone by dominating set for energy-efficient localization. The beacon nodes are then prioritized based on their residual energy and degree of connectivity to unknown nodes. The hop-size of the beacon nodes is improved by adding a correction factor in the proposed algorithm. We also consider the location errors caused by collinear beacon nodes, and the concept of collinearity is introduced to reduce the localization errors. The simulation is performed using Matlab, and the proposed algorithm is scrutinized for localization error and least energy consumption thoroughly. [ABSTRACT FROM AUTHOR]