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Performance Evaluation of a Zone-based Three-level Heterogeneous Clustering Protocol for WSNs

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper proposes a zone-based three-level heterogeneous clustering protocol (ZB-TLHCP) for heterogeneous WSNs. In ZB-TLHCP, the sensor field/region is divided into zones where super, advance, and normal nodes are deployed uniformly and randomly. The performance of the proposed ZB-TLHCP system is compared with that of zonal-stable election protocol (Z-SEP), distributed energy efficient clustering (DEEC), and threshold-based DEEC (TDEEC) protocol by varying the number of super and advance nodes, their energy levels for the fixed sensor field, and the total number of nodes. Matlab simulation results revealed that the proposed ZB-TLHCP solution performed better than Z-SEP, DEEC, and TDEEC protocols, as it increased the instability period, prolonged the network's lifetime, and achieved higher throughput values.
Rocznik
Tom
Strony
85--93
Opis fizyczny
Bibliogr. 22 poz., rys., tab., wykr.
Twórcy
  • Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, India
autor
  • Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, India
autor
  • Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, India
Bibliografia
  • [1] A. Verma, S. Kumar, P.R. Gautam, T. Rashid, and A. Kumar, "Broadcast and Reliable Coverage Based Efficient Recursive Routing in Large-scale WSNs", Telecommunication Systems, vol. 75, no. 1, pp. 63-78, 2020.
  • [2] S.R.J. Ramson and D.J. Moni, "Applications of Wireless Sensor Networks - A Survey", IEEE International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology (ICEEIMT), Coimbatore, India, pp. 325-329, 2017.
  • [3] G. Anastasi, M. Conti, M. Di Francesco, and A. Passarella, "Energy Conservation in Wireless Sensor Networks: A Survey", Ad Hoc Networks, vol. 7, no. 3, pp. 537-568, 2009.
  • [4] I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "Wireless Sensor Networks: a Survey", Computer Networks, vol. 38, no. 4, pp. 393-422, 2002.
  • [5] J. Amutha, S. Sharma, and S.K. Sharma, "Strategies Based on Various Aspects of Clustering in Wireless Sensor Networks Using Classical, Optimization and Machine Learning Techniques: Review, Taxonomy, Research Findings, Challenges and Future Directions", Computer Science Review, vol. 40, art. no. 100376, 2021.
  • [6] W.R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy-efficient communication protocol for wireless microsensor networks", in: IEEE Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, Maui, USA, 2000.
  • [7] H. Farman et al., "Multi-criteria Based Zone Head Selection in Internet of Things Based Wireless Sensor Networks", Future Generation Computer Systems, vol. 87, pp. 364-371, 2018.
  • [8] J. Singh et al., "A Node Overhaul Scheme for Energy Efficient Clustering in Wireless Sensor Networks", IEEE Sensors Letters, vol. 5, no. 4, pp. 1-4, 2021.
  • [9] S. Kumar, P.R. Gautam, T. Rashid, A. Verma, and A. Kumar, "Division Algorithm Based Energy-efficient Routing in Wireless Sensor Networks", Wireless Personal Communications, vol. 122, no. 3, pp. 2335-2354, 2022.
  • [10] A. Verma, T. Rashid, P.R. Gautam, S. Kumar, and A. Kumar, "Cost and Sub-epoch Based Stable Energy-efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks", Wireless Personal Communications, vol. 107, no. 2, pp. 1865-1879, 2019.
  • [11] P. Rawat, S. Chauhan, and R. Priyadarshi, "A Novel Heterogeneous Clustering Protocol for Lifetime Maximization of Wireless Sensor Network", Wireless Personal Communications, vol. 117, no. 2, pp. 825-841, 2021.
  • [12] S. Faisal et al., "Z-SEP: Zonal-Stable Election Protocol for Wireless Sensor Networks", Journal of Basic and Applied Scientific Research, vol. 3, no. 5, pp. 132-139, 2013.
  • [13] F.A. Khan, M. Khan, M. Asif, A. Khalid, and I.U. Haq, "Hybrid and Multi-hop Advanced Zonal-stable Election Protocol for Wireless Sensor Networks", IEEE Access, vol. 7, pp. 25334-25346, 2019.
  • [14] R.A. Sadek, "Hybrid Energy Aware Clustered Protocol for IoT Heterogeneous Network", Future Computing and Informatics Journal, vol. 3, no. 2, pp. 166-177, 2018.
  • [15] W. Abidi and T. Ezzedine, "Effective Clustering Protocol Based on Network Division for Heterogeneous Wireless Sensor Networks", Computing, vol. 102, no. 2, pp. 413-425, 2020.
  • [16] A. Chithra and R.S.S. Kumari, "A Novel 3-level Energy Heterogeneity Clustering Protocol with Hybrid Routing for a Concentric Circular Wireless Sensor Network", Cluster Computing, vol. 22, no. 6, pp. 11101-11108, 2019.
  • [17] S. Tyagi, S. Tanwar, S.K. Gupta, N. Kumar, and J. Rodrigues, "A Lifetime Extended Multi-levels Heterogeneous Routing Protocol for Wireless Sensor Networks", Telecommunication Systems, vol. 59, no. 1, pp. 43-62, 2015.
  • [18] S. Alsafi and S.A. Talab, "Implementation of DEEC, DDEEC, EDEEC and TDEEC Protocols using MATLAB in Wireless Sensor Network", International Journal of Advanced Networking and Applications, vol. 12, no. 3, pp. 4596-4600, 2020.
  • [19] T.N. Qureshi, N. Javaid, M. Malik, U. Qasim, and Z.A. Khan, "On Performance Evaluation of Variants of DEEC in WSNs", in: IEEE Seventh International Conference on Broadband, Wireless Computing, Communication and Applications, Victoria, Canada, pp. 162-169, 2012.
  • [20] S. Kaur et al., "Heterogeneous Load Balancing Clustering Protocol for Wireless Sensor Networks", Cognitive Systems Research, vol. 70, pp. 10-17, 2021.
  • [21] I.E. Agbehadji et al., "Clustering Algorithm Based on Nature-inspired Approach for Energy Optimization in Heterogeneous Wireless Sensor Network", Applied Soft Computing, vol. 104, art. no. 107171, 2021.
  • [22] A. Slowik and H. Kwasnicka, "Nature Inspired Methods and Their Industry Applications: Swarm Intelligence Algorithms", IEEE Transactions on Industrial Informatics, vol. 14, no. 3, pp. 1004-1015, 2017.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-220cbcfa-2873-4d56-940d-cc8e8833af50
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