IJCOT-book-cover International Journal of Computer & Organization Trends  (IJCOT)          
 
© 2022 by IJCOT Journal
Volume - 12 Issue - 2
Year of Publication : 2022
Authors : S. Vasanth kumar, P. Suresh Babu
DOI : 10.14445/22492593/IJCOT-V12I2P303

Citation

MLA Style: S. Vasanth kumar, and P. Suresh Babu. "Use of AI in Cybersecurity Applications toward Advanced Defensive Security Discipline " International Journal of Computer and Organization Trends, vol. 12, no. 2, May-Aug. 2022, pp. 9-14.  Crossref, https://doi.org/10.14445/22492593/IJCOT-V12I2P303

APA Style: S. Vasanth kumar, & P. Suresh Babu . (2022). Use of AI in Cybersecurity Applications toward Advanced Defensive Security Discipline. International Journal of Computer and Organization Trends, 12(2), 9-14. https://doi.org/10.14445/22492593/IJCOT-V12I2P303

Abstract

Wireless Sensor Network (WSN) is a self-governing network with small units called sensor nodes for reading events in surrounding areas. Object tracking is the primary task in WSN applications. Target tracking is used to detect and track a target's presence constantly. Sensor nodes are used in a structured manner depending on the sensing area to be monitored for a specific application. The sensor node senses the variations in the neighboring area and transmits the data to the sink node. The data collected by sink nodes are aggregated and sent to the base station. Many researchers conducted their research on target object tracking in WSN with minimal error. But, the error rate was not reduced, and existing tracking techniques did not increase the accuracy. To address these problems, different target object tracking methods are studied.

Keywords

Wireless Sensor Network, Target object tracking, Sensor nodes, a sink node, Neighboring area, Target tracking.

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