WSN Localization in 3-D Environments to Minimize the Localization Errors

The development of wireless sensor network have brought dominant transition in the current extent of research and development because it is extensively used in the various applications around the world. Localization of sensor nodes is one of the major obstacle in WSN. The localization is the process of hierarchical connectivity between the sensor nodes. The localization process is prone to various types of localization errors, which affects the connectivity of individual nodes or the group of nodes. The priority of the nodes is defined in many data forwarding techniques. A falsified priority mechanism may lead the data of several sensor nodes towards the dead ends, which causes the data unavailability on the sink nodes and leads towards the partial or false analysis. In this paper, we are proposing a new techniques for localization and edge node (dead end) marking. The accuracy of presented approach will be high. The performance of the proposed system will be measured using the number of connected nodes with sink node, hop count, delay, drop ratio of packet, etc.