Isolated Node Localization Probablity in Wireless Ad-Hoc Networks

Abstract

Node Iocalization enabled wireless sensor network has gained immense popularity in real time due to its faster execution, high coverage area, performance and connectivity. It can achieve the primary objectives such as high connectivity and coverage area in wireless sensor networks. To completely exploit the wireless sensor networks, it is very essential to achieve a high connectivity between sensor nodes and gateways of sensor networks. Therefore, here, we have introduced a novel Local Isolated Node Localization in Wireless Sensor Networks based on probability analysis to locate the isolate node probability precisely, enhance connectivity between nodes and improve coverage area and scalability. A local collaborative pair method is introduced for isolated node recognition and ensures high connectivity. Experimental results verifies superiority of our proposed Isolated Node Localization model in terms of distance between sensor nodes, high connectivity and coverage area, identification of isolated sensor node location when networks are coinciding with each other at the boundaries and it also consider channel randomness while searching for connectivity between nodes.