|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|
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
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.
Wireless Sensor Network, Target object tracking, Sensor nodes, a sink node, Neighboring area, Target tracking.
 Jiangfeng Xian, Huafeng Wu, Xiaojun Mei, Yuanyuan Zhang, Huixing Chen and Jun Wang, "NMTLAT: A New Robust Mobile Multi-Target Localization and Tracking Scheme in Marine Search and Rescue Wireless Sensor Networks under Byzantine Attack", Computer Communications, Elsevier, vol. 160, pp. 623-635, 2020.  Khalid Ali, MohdFadlee A. Rasid, AduwatiSali and Borhanuddin Ali, "Face‐Based Mobile Target Tracking Technique in Wireless Sensor Network", Wireless Personal Communications, Springer, vol. 111, pp. 1853-1870, 2020.
 Dhiren P. Bhagat and HimanshukumarSoni, "Target Tracking in a Wireless Sensor Network using a Multi-Step KF-PSO Model", International Journal of Computers and Applications, Taylors and Francis, vol. 43, no. 5, pp. 401-412, 2021.
 Ce Pang, Gong-guoXu, Gan-lin Shan and Yun-pu Zhang, "A New Energy Efficient Management Approach for Wireless Sensor Networks in Target Tracking", Defence Technology, Elsevier, vol. 17, no. 3, pp. 932-947, 2021.
 JayeshMunjani and Maulin Joshi, "A Non-Conventional Lightweight Auto Regressive Neural Network for Accurate and Energy Efficient Target Tracking in Wireless Sensor Network", ISA Transactions, Elsevier, vol. 115, pp. 12-31, 2021.
 XianzhenXu, Zhiyu Yuan and Yanping Wang, "Multi-Target Tracking and Detection Based on Hybrid Filter Algorithm", IEEE Access, vol. 8, pp. 209528 – 209536, 2020.
 Tauseef Ahmad and Ash Mohammad Abbas, "LeDA: Leadership Delegation Based Activation Scheme for Target Tracking in Wireless Sensor Networks", International Journal of Information Technology, Springer, vol. 13, pp. 541-549, 2021.
 Bassam A. Y. Alqaralleh, SachiNandanMohanty, Deepak Gupta, AshishKhanna, K. Shankar, and ThavavelVaiyapuri, "Reliable Multi-Object Tracking Model using Deep Learning and Energy Efficient Wireless Multimedia Sensor Networks", IEEE Access, vol. 8, pp. 213426 – 213436, 2020.
 Xiaofei Cao and Sanjay Madria, "An Efficient Moving Object Tracking Framework for WSNS using Sequence-to-Sequence Learning Model", Peer-to-Peer Networking and Applications, Springer, vol. 14, pp. 3915–3928, 2021.
 Tao Wang, Xiang Wang, Wei Shi, Zongmin Zhao, Zhenxue He and Tongsheng Xi, "Target Localization and Tracking Based on Improved Bayesian Enhanced Least-Squares Algorithm in Wireless Sensor Networks", Computer Networks, Elsevier, vol. 167, pp. 1-15, 2020.
 S. Alonshia and P. Sumathy, "Optimized Target Tracking using Heuristics Base Dispensed Advert Oriented Algorithm", Microprocessors and Microsystems, Elsevier, pp. 1-15, 2021.
 Jiangfeng Xian, Huafeng Wu, Xiaojun Mei, Yuanyuan Zhang, Huixing Chen and Jun Wang, "NMTLAT: A New Robust Mobile Multi-Target Localization and Tracking Scheme in Marine Search and Rescue Wireless Sensor Networks Under Byzantine Attack", Computer Communications, Elsevier, vol. 160, pp. 623-635, 2020.
 S. Salari, I.M. Kim, F. Chan, “Distributed Cooperative Localization for Mobilewireless Sensor Networks,” IEEE Wirel. Commun. Lett., vol. 7, no. 1, pp. 18-21, 2018.
 R. Niu, A. Vempaty, P.K. Varshney, “Received-Signal-Strength-Based Localizationin Wireless Sensor Networks,” Proc. IEEE, vol. 106, no. 7, pp. 1166–1182, 2018.
 B. Huang, C. Yu, B.D.O. Anderson, et al., “Estimating Distances via Connectivityin Wireless Sensor Networks,” Wirel. Commun. Mobile Comput., vol. 14, no. 5, pp. 541-556, 2014.
 S. Zaidi, A.E. Assaf, S. Affes, et al., “Accurate Range-Free Localization in Multi-Hopwireless Sensor Networks,” IEEE Trans. Commun., vol. 64, no. 9, pp. 3886–3900, 2016.
 J. Cota-Ruiz, P. Rivas-Perea, E. Sifuentes, et al., “A Recursive Shortest Path Routingalgorithm with Application for Wireless Sensor Network Localization,” IEEE Sens.J., vol. 16, no. 11, pp. 4631–4637, 2016.
 Z. Wang, B. Zhang, X. Wang, et al., “Improvements of Multi-Hop Localizationalgorithm for Wireless Sensor Networks,” IEEE Syst. J., no. 7, pp. 1-12, 2018.
 O. Pandey, A. Mahajan, R.M. Hegde, “Joint Localization and Data Gathering Oversmall World WSN with Optimal Data MULE Allocation,” IEEE Trans. Veh. Technol., vol. 67, no. 7, pp. 6518–6531, 2018.
 A.E. Assaf, S. Zaidi, S. Affes, et al., “Low-Cost Localization for Multi-Hop Heterogeneous Wireless Sensor Networks,” IEEE Trans. Wireless Commun., vol. 15, no. 1, pp. 472–484, 2016.
 X. Liu, Z. Gang, X. Ma, “Target Localization and Tracking in Noisy Binary Sensornetworks with Known Spatial Topology,” Wirel. Commun. Mobile Comput., vol. 9, no. 8, pp. 1028–1039, 2010.
 H. Wang, K. Yao, D. Estrin, “Information-Theoretic Approaches For Sensor Selectionand Placement in Sensor Networks for Target Localization and Tracking, J. Commun.Netw., vol. 7, no. 4, pp. 438–449, 2005.
 J. Feng, B. Lian, H. Zhao, “Coordinated and Adaptive Information Collecting Intarget Tracking Wireless Sensor Networks,” IEEE Sens. J., vol. 15, no. 6, pp. 3436–3445, 2015.
 S. Tomic, M. Beko, D. Rui, et al., “A Robust Bisection-Based Estimator for Toabased Target Localization in NLOS Environments,” IEEE Commun. Lett., vol. 21, no. 11, pp. 2488–2491, 2017.
 J. Lee, K. Cho, S. Lee, et al., “Distributed and Energy-Efficient Target Localizationand Tracking in Wireless Sensor Networks,” Comput. Commun., vol. 29, no. 13–14, pp. 2494–2505, 2006.
 A. Zaeemzadeh, M. Joneidi, B. Shahrasbi, et al., “Robust Target Localization Basedon Squared Range Iterative Reweighted Least Squares,” in: IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems, pp. 380–388, 2018.