A Novel Location Pinpointed Anti-Jammer with Knowledged Estimated Localizer for secured Data Transmission in Mobile Wireless Sensor Network

Nowadays mobile/cellular phones are considered as the most common and the key medium for establishing communication amid the sensor nodes in Wireless Sensor Network (WSN). Though Mobile Wireless Sensor networks (MWSN) is highly reliable, often they are susceptible to various Denial-of-Service (DoS) attacks, jamming attack, attacks caused by anomalies, etc. due to its shared and open-access nature, which in turn causes packet loss, delayed packet delivery, routing distractions, etc. Though some kinds of passive attacks, as well as the jamming/malicious nodes, are detected with prior methodologies, they fail to localize the jammer/attacker. In order to arrest all those difficulties we propose, a novel location Pinpointed Anti-jammer with Knowledged Estimated Localizer (KNOWEL). Initially, an energy detector is used here to set the decision threshold. In addition, an adaptive filter is utilized to discriminate the differences amid normal and reactive jammer traffic. Finally, KNOWLE detects the jammer and their exact location by learning the profile of the external attacker. Thus the proposed pinpointed anti-jammer aids secured and reliable data transmission with the detection and localization of jammer/attacker. It thereby enhances the Quality of Services (QoS) with low energy consumption. The proposed work is implemented in MATLAB, whereas the performance is evaluated and is compared with the prior work to ensure its strength over prior works.