PACKET SCHEDULING ALGORITHM VIA THE SINK NODES FOR THE ENERGY EFFICIENT MULTITARGET TRACKING IN WSNS
DOI:
https://doi.org/10.29121/shodhkosh.v5.i6.2024.2493Keywords:
Packet Scheduling, Algorithm, LWKMTT Model, WSNS, MultitargetAbstract [English]
Multitarget tracking is important research problem in WSNs since last decade. Recently improved solutions have been proposed for the same. However, some research problems that yet to address. Targets with varied importance levels invade the monitoring area, making threat assessment challenging. Some critical monitoring locations may miss high-level targets. Tracking delay reduction, energy consumption reduction, and overall network performances enhancement still needs to be enhanced.
References
T. Khurana, S. Singh, and N. Goyal, “An evaluation of Ad-hoc routing protocols for wireless sensor networks,” Int. J. Adv. Res. Comput. Sci. Electron. Eng., vol. 1, no. 5, pp. 27–30, 2012
A.S. H. Abdul-Qawy et al., “An enhanced energy efficient protocol for large-scale IoT-based heterogeneous WSN,” Sci. African, vol. 21, pp. e01807, 2023. DOI: https://doi.org/10.1016/j.sciaf.2023.e01807
K. Guleria, A. K. Verma, N. Goyal, A. K. Sharma, A. Benslimane and A. Singh, “An enhanced energy proficient clustering (EEPC) algorithm for relay selection in heterogeneous WSNs,” Ad Hoc Netw., vol. 116, no. 3, pp. 102473, 2021 DOI: https://doi.org/10.1016/j.adhoc.2021.102473
J. Wang, H. Han, H. Li, S. He, P. Kumar Sharma and L. Chen, “Multiple strategies differential privacy on sparse tensor factorization for network traffic analysis in 5G,” IEEE Trans. Ind. Inform., vol. 18, no. 3, pp. 1939–1948, 2022. DOI: https://doi.org/10.1109/TII.2021.3082576
M. Maheswari and R. A. Karthika, “A novel QoS based secure unequal clustering protocol with intrusion detection system in wireless sensor networks,” Wirel. Pers. Commun., vol. 118, no. 2, pp. 1535–1557, 2021. DOI: https://doi.org/10.1007/s11277-021-08101-2
Y. Zhang and L. J. Gao, “Sensor-networked underwater target tracking based on grubbs criterion and improved particle filter algorithm,” IEEE Access, vol. 7, pp. 142894–142906, 2019. DOI: https://doi.org/10.1109/ACCESS.2019.2943916
M. Anvaripour, M. Saif, and M. Ahmadi, “A novel approach to reliable sensor selection and target tracking in sensor networks,” IEEE Trans. Ind. Inform., vol. 16, no. 1, pp. 171–182, 2020. DOI: https://doi.org/10.1109/TII.2019.2916091
G. S. Kori and M. S. Kakkasageri, “Agent driven resource scheduling in wireless sensor networks: Fuzzy approach,” Int. J. Inf. Technol., vol. 14, no. 1, pp. 345–358, 2022. DOI: https://doi.org/10.1007/s41870-021-00829-1
D. P. Bhagat, “Tracking of moving target in wireless sensor network with improved network life time using PSO,” Wirel. Pers. Commun., vol. 127, no. 2, pp. 1225–1239, 2021. DOI: https://doi.org/10.1007/s11277-021-08574-1
H. Zhu, H. Chen, and M. Luo, “Adaptive event-driven robust set membership estimation for receivedsignal-strength-based moving targets localization,” IEEE Internet Things J., vol. 9, no. 14, pp. 12825–12835, 2022. DOI: https://doi.org/10.1109/JIOT.2021.3138784
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Bukey Chetan Manikrao, Dr. Vijayalaxmi Biradar, Dr. Sagar B. Shinde

This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.