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.

如今，移动/蜂窝电话被视为在无线传感器网络（WSN）的传感器节点之间建立通信的最常用和关键介质。尽管移动无线传感器网络（MWSN）高度可靠，但由于它们的共享和开放访问性质，它们经常容易受到各种拒绝服务（DoS）攻击，干扰攻击，异常引起的攻击等。反过来会导致数据包丢失，数据包传递延迟，路由分散等。尽管使用现有方法可以检测到某些类型的被动攻击以及干扰/恶意节点，但它们无法定位干扰者/攻击者。为了解决所有这些困难，我们建议采用一种新颖的，精确定位的抗干扰器，并配备知识丰富的本地化定位器（知道）。最初，此处使用能量检测器来设置决策阈值。另外，利用自适应滤波器来区分正常和无功干扰通信量之间的差异。最后，KNOWLE通过了解外部攻击者的个人资料来检测干扰器及其确切位置。因此，所提出的精确的抗干扰器可通过对干扰器/攻击者的检测和定位来确保安全可靠的数据传输。因此，它以低能耗提高了服务质量（QoS）。拟议的工作是在MATLAB中实现的，同时评估了性能并将其与先前的工作进行了比较，以确保其性能优于先前的工作。