EECLA: A Novel Clustering Model for Improvement of Localization and Energy Efficient Routing Protocols in Vehicle Tracking Using Wireless Sensor Networks
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Abstract
Due to increase of usage of wireless sensor networks (WSN) for various purposes leads to a required technology in the present world. Many applications are running with the concepts of WSN now, among that vehicle tracking is one which became prominent in security purposes. In our previous works we proposed an algorithm called EECAL (Energy Efficient Clustering Algorithm and Localization) to improve accuracy and performed well. But are not focused more on continuous tracking of a vehicle in better aspects. In this paper we proposed and refined the same algorithm as per the requirement. Detection and tracking of a vehicle when they are in larges areas is an issue. We mainly focused on proximity graphs and spatial interpolation techniques for getting exact boundaries. Other aspect of our work is to reduce consumption of energy which increases the life time of the network. Performance of system when in active state is another issue can be fixed by setting of peer nodes in communication. We made an attempt to compare our results with the existed works and felt much better our work. For handling localization, we used genetic algorithm which handled good of residual energy, fitness of the network in various aspects. At end we performed a simulation task that proved proposed algorithms performed well and experimental analysis gave us faith by getting less localization error factor.
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References
G. Han, J. Shen, L. Liu, and L. Shu. “brtco: A novel boundary recognition and tracking algorithm for continuous objects in wireless sensor networks”. IEEE Systems Journal, pages 1–10, 2016.
S.W. Hong, S.K. Noh, E. Lee, S. Park, and S.H Kim. “energy efficient predictive tracking for continuous objects in wireless sensor networks”. In Personal Indoor and Mobile Radio Communications (PIMRC), IEEE 21st International Symposium, pages 1725–1730. IEEE, 2010.
Y. Zhang, Z. Zhou, D. Zhao, M. Barhamgi, and T. Rahman. “graph-based mechanism for scheduling mobile sensors in time sensitive wsns applications”. IEEE Access, 5:1559–1569, 2017.
R. Kaur and S. Arora, “Nature inspired range based wireless sensor node localization algorithms,” International Journal of Interactive Multimedia and Artificial Intelligence, vol. 4, no. 6,pp. 7–17, 2017.
W. Lan, W. Zhang, and J. Luo, “Design and implementation of adaptive intelligent trilateral localization algorithm,” Chinese Journal of Sensors and Actuators, vol. 30, no. 7, pp. 1089–1094,2017.
Y. Liu and J. Chen, “A K-means based firefly algorithm for localization in sensor networks,” International Journal of Parallel, Emergent and Distributed Systems, vol. 34, no. 4, pp. 364–379, 2018.
Yedukondalu, Gangolu & K., Samunnisa & Bhavsingh, M. & Raghuram, I & Lavanya, Addepalli. (2022). MOCF: A Multi-Objective Clustering Framework using an Improved Particle Swarm Optimization Algorithm. International Journal on Recent and Innovation Trends in Computing and Communication. 10. 143-154. 10.17762/ijritcc.v10i10.5743.
S. K. Rout, A. K. Rath, P. K. Mohapatra, P. K. Jena, and A. Swain, “A fuzzy optimization technique for energy efficient node localization in wireless sensor network using dynamic trilateration method,” Advances in Intelligent Systems and Computing in Progress in Computing, Analytics, and Networking, vol. 1, pp. 325–338, 2018.
L. Lin and L. Donghui, “An energy-balanced routing protocol for a wireless sensor network,” Journal of Sensors, vol. 2018, Article ID 8505616, 12 pages, 2018.
J. Wang, X. Zhang, Q. Gao, H. Yue, and H. Wang, “Device free wireless localization and activity recognition: a deep learning approach,” IEEE Transactions on Vehicular Technology,vol. 66, no. 7, pp. 6258–6267, 2017.
Pasha, M. & Pingili, Madhavi & Sreenivasulu, K. & Maloth, Bhavsingh & Saheb, Shaik & Saleh, Alaa. (2022). Bug2 algorithm-based data fusion using mobile element for IoT-enabled wireless sensor networks. Measurement: Sensors. 24. 100548. 10.1016/j.measen.2022.100548.
J. H. Anajemba, T. Yue, C. Iwendi, M. Alenezi, and M. Mittal, “Optimal cooperative offloading scheme for energy efficient multi-access edge computation,” IEEE Access, vol. 8, pp. 53931–53941, 2020.
Y. Chen, Z. Wang, T. Ren, and H. Lv, “Lifetime Optimization Algorithm with Mobile Sink Nodes for Wireless Sensor Networks Based on Location Information,” International Journal of Distributed Sensor Networks, vol. 11, no. 8, p. 857673, Aug. 2015.
G. Sharma and A. Kumar, “Improved DV-Hop localization algorithm using teaching learning based optimization for wireless sensor networks,” Telecommun Syst, vol. 67, no. 2, pp. 163–178, Feb. 2018. Authorized.
C. Gulzar and AmeenaYasmeen, “Maximum network lifetime with load balance and connectivity by clustering process for wireless sensor networks,” International Journal of Computer Engineering In Research Trends, vol. 3, no.7, pp. 375–383, July. 2016.
T. Najeh, H. Sassi, and N. Liouane, “A Novel Range Free Localization Algorithm in Wireless Sensor Networks Based on Connectivity and Genetic Algorithms,” Int J Wireless Inf Networks, vol. 25, no. 1, pp. 88–97, Mar. 2018.
A. A. A. Alkhatib, M. Alia, A. Hnaif, and S. Yousef, “A novel method for localising a randomly distributed wireless sensor network,” Int J Syst Assur Eng Manag, vol. 9, no. 2, pp. 354–361, Apr. 2018.
Amatul Mateen Shamsiya, G.S.S Rao, “Energy and Memory Clone Detection in Wireless Sensor Network,” International Journal of Computer Engineering In Research Trends, vol. 4, no. 10, pp. 413–418, Oct. 2017.
Z. Qiu, L. Wu, and P. Zhang, “An Efficient Localization Method for Mobile Nodes in Wireless Sensor Networks,” Int. J. Onl. Eng., vol. 13, no. 03, p. 160, Mar. 2017.
Al-Karaki, A.; Kamal, Routing Techniques in Wireless Sensor networks: A Survey. Secur. Netw. 2004, 11, 6–28.
Pantazis, N.A.; Nikolidakis, S.A.; Vergados, D.D. Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey. IEEE Commun. Surv. Tutor. 2013, 15, 551–591.
Warrier, M.M.; Kumar, A. Energy Efficient Routing in Wireless Sensor Networks: A Survey. In Proceedings of the 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India, 23–25 March 2016; pp. 1987–1992.
Cirstea, C. Energy Efficient Routing Protocols for Wireless Sensor Networks: A Survey. In Proceedings of the 2011 IEEE 17th International Symposium for Design and Technology in Electronic Packaging (SIITME), Timisoara, Romania, 20–23 October 2011; pp. 277–282.
Mohamed, R.E.; Saleh, A.I.; Abdelrazzak, M.; Samra, A.S. Survey on wireless sensor network applications and energy efficient routing protocols. Wirel. Pers. Commun. 2018, 101, 1019–1055.
Mundada, M.R.; Kiran, S.; Khobanna, S.; Varsha, R.N.; George, S.A. A study on energy efficient routing protocols in wireless sensor networks. Int. J. Distrib. Parallel Syst. 2012, 3, 311–330.
Jingjing, Y.; Mengchu, Z.; Zhijun, D. Recent advances in energy-efficient routing protocols for wireless sensor networks: A review. IEEE Access 2016, 4, 5673–5686.