Improving WSN Performance through Fuzzy-Based Traffic Data Analysis

Article Sidebar

PDF
Published: Jan 25, 2024
DOI: https://doi.org/10.52783/jes.663
Keywords:
WSN, traffic data, sensor node, residual energy, average node dead.

Main Article Content

Anuradha P. Gharge, Sarman K.Hadia

Abstract

In the present time in Wireless Sensor Network plays an essential role in the monitoring of different physical phenomena. Monitoring of city traffic data analysis is very important in different metro cities due to rapid increase in population.  This research work proposes a model for traffic data analysis using wireless sensor network  incorporated with fuzzy technique. The proposed model is tested for performance parameters such as node dead rate , data packed received. The proposed model improved the efficiency compared to existing techniques of the WSN network for traffic data collection and analysis..

Article Details

Issue
Vol. 20 No. 1 (2024)
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

Author Biography

Anuradha P. Gharge, Sarman K.Hadia

1Anuradha P. Gharge

2Dr. Sarman K.Hadia

1Research Scholar, V.T.Patel Department of Electronics and Communication Engineering, CS Patel Institute of Technology, Charotar University of Science andTechnology (CHARUSAT ). Changa,Anand, Gujarat, India. & Assistant Professor, Department of Electronics and Communication Engineering, Parul University, Vadodara, Gujarat, India

anuradha.gharge@paruluniversity.ac.in

2Associate Professor, Graduate School of Engineering & Technology, Gujarat Technological University, Ahmedabad, Gujarat, India. ,

asso_s_k_hadia@gtu.edu.in

Copyright © JES 2024 on-line : journal.esrgroups.org

References

Kundaliya, B. L., & Hadia, S. K. (2020). Routing algorithms for wireless sensor networks: Analysed and compared. Wireless Personal Communications, 110(1), 85–107.

Mall, P. K., Narayan, V., Pramanik, S., Srivastava, S., Faiz, M., Sriramulu, S., & Kumar, M. N. (2023). FuzzyNet-Based Modelling Smart Traffic System in Smart Cities Using Deep Learning Models. In Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities (pp. 76-95). IGI Global.

Wang, H., Ouyang, M., Meng, Q., & Kong, Q. (2020). A traffic data collection and analysis method based on wireless sensor network. EURASIP Journal on Wireless Communications and Networking, 2020(1), 1-8..

Liang, H., Yang, S., Li, L., & Gao, J. (2019). Research on routing optimization of WSNs based on improved LEACH protocol. EURASIP Journal on Wireless Communications and Networking, 2019(1), 1–12.

Behera, T. M., Mohapatra, S. K., Samal, U. C., Khan, M. S., Daneshmand, M., & Gandomi, A. H. (2019). I-SEP: An improved routing protocol for heterogeneous WSN for IoT-based environmental monitoring. IEEE Internet of Things Journal, 7(1), 710–717.

Zhou, Y., Wang, N., & Xiang, W. (2017). Clustering hierarchy protocol in wireless sensor networks using an improved PSO algorithm. IEEE Access, 5, 2241–2253.

Kim J-Y, Sharma T, Kumar B, Tomar GS, Berry K, Lee W-H. Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment. International Journal of Distributed Sensor Networks. 2014;10(4). doi:10.1155/2014/457402

Mittal, N., Singh, U., Salgotra, R., & Bansal, M. (2020). An energy-efficient stable clustering approach using fuzzy-enhanced fower pollination algorithm for WSNs. Neural Computing and Applications, 32(11), 7399–7419.

Abidoye, A. P., Ochola, E. O., Obagbuwa, I. C., & Govender, D. W. (2020). An improved ant colony optimization algorithm: a technique for extending wireless sensor networks lifetime utilization. International Journal of Advanced Computer Science and Applications, 11(8).

Jiang, A., & Zheng, L. (2018). An effective hybrid routing algorithm in WSN: Ant colony optimization in combination with hop count minimization. Sensors, 18(4), 1020.

Maheshwari, P., Sharma, A. K., & Verma, K. (2021). Energy efcient cluster based routing protocol for WSN using butterfy optimization algorithm and ant colony optimization. Ad Hoc Networks, 110, 102317.

Acciarini, G., Izzo, D., & Mooij, E. (2020, July). MHACO: a multi-objective hypervolume-based ant colony optimizer for space trajectory optimization. In 2020 IEEE Congress on Evolutionary Computation (CEC) (pp. 1-8). IEEE.

Yang, D., Xia, H., Xu, E., Jing, D., & Zhang, H. (2018). Energy-balanced routing algorithm based on ant colony optimization for mobile ad hoc networks. Sensors, 18(11), 3657.

Vaiyapuri, T., Parvathy, V. S., Manikandan, V., Krishnaraj, N., Gupta, D., & Shankar, K. (2021). A novel hybrid optimization for cluster‐based routing protocol in information-centric wireless sensor networks for IoT based mobile edge computing. Wireless Personal Communications, 1-24.

Faiz, M., & Daniel, A. K. (2022). A Multi-Criteria Dual Membership Cloud Selection Model based on Fuzzy Logic for QoS. International Journal of Computing and Digital Systems, 12(1), 453-467.

Choudhary, S., Narayan, V., Faiz, M., & Pramanik, S. (2022). Fuzzy approach-based stable energy-efficient AODV routing protocol in mobile ad hoc networks. In Software Defined Networking for Ad Hoc Networks (pp. 125-139). Cham: Springer International Publishing.

Faiz, M., & Daniel, A. K. (2021, December). Multi-criteria based cloud service selection model using fuzzy logic for QoS. In International Conference on Advanced Network Technologies and Intelligent Computing (pp. 153-167). Cham: Springer International Publishing.

Narayan, Vipul, A. K. Daniel, and Pooja Chaturvedi. "E-FEERP: Enhanced Fuzzy based Energy Efficient Routing Protocol for Wireless Sensor Network." Wireless Personal Communications (2023): 1-28.

Narayan, Vipul, and A. K. Daniel. "CHHP: coverage optimization and hole healing protocol using sleep and wake-up concept for wireless sensor network." International Journal of System Assurance Engineering and Management 13.Suppl 1 (2022): 546-556.

Narayan, Vipul, and A. K. Daniel. "Energy Efficient Protocol for Lifetime Prediction of Wireless Sensor Network using Multivariate Polynomial Regression Model." (2022).

Narayan, Vipul, and A. K. Daniel. "IOT based sensor monitoring system for smart complex and shopping malls." International conference on mobile networks and management. Cham: Springer International Publishing, 2021.