Three Dimensional Optimum Node Localization in Dynamic Wireless Sensor Networks

Location information plays an important role in most of the applications Wireless Sensor Network (WSN). Recently, many localization techniques have been proposed, while these deals with two Dimensional applications. Whereas, Three task is complex and there are large variations altitude levels. In 3D environments, sensors placed mountains for tracking deployed air monitoring pollution level. For such applications, 2D models not reliable. Due to this, design systems WSNs faces new challenges. this paper, order find unknown nodes Three-Dimensional environment, only single anchor node used. simulation-based locations moving at middle & lower layers whereas top layer equipped node. A novel soft computing technique namely Adaptive Plant Propagation Algorithm (APPA) introduced obtain optimized mobile nodes. These target heterogeneous anisotropic environment having Irregularity (Degree (DOI)) value set 0.01. The simulation results present that proposed APPA algorithm outperforms as tested among other meta-heuristic optimization terms error, computational time, located sensor