The Performance of Stable Zones Protocol for Heterogeneous Wireless Sensor Networks
Received: 2 May 2024 | Revised: 4 June 2024 | Accepted: 7 June 2024 | Online: 2 August 2024
Corresponding author: Adnen Cherif
Abstract
Wireless sensor networks are characterized by significant constraints, with the primary performance parameter being their lifetime. In the context of a wireless sensor network, the distance from the base station emerges as a critical factor that influences the energy consumption of the nodes, thus affecting the overall network lifetime. To address this issue, this study introduces the Stable Zones Protocol for Heterogeneous wireless sensor networks (SZP-H). This protocol strategically divides the network into distinct zones, each differing from the other in terms of its distance from the base station and the initial energy available. This protocol outperformed traditional protocols, effectively mitigating the challenges associated with node energy consumption and improving the overall performance of the wireless sensor network. The simulation results show that SZP-H achieves the highest possible stable period and lifetime and the highest throughput level compared to the FBECS, E-CAFL, and LEACH-FC protocols. Specifically, SZP-H achieves a remarkable extension of the network's lifetime by a ratio of 303%, and 275% compared to FBECS, E-CAFL, and LEACH-FC.
Keywords:
heterogeneous wireless sensor networks, routing protocols, stable zones, lifetime, latencyDownloads
References
P. D. Nguyen and L. Kim, "Sensor System: A Survey of Sensor Type, Ad Hoc Network Topology and Energy Harvesting Techniques," Electronics, vol. 10, no. 2, Jan. 2021, Art. no. 219.
C. N. Praba and E. Al, "Study Of Energy Efficient And Secure Routing Mechanisms In Wireless Sensor Network," Turkish Journal of Computer and Mathematics Education (TURCOMAT), vol. 12, no. 12, pp. 657–661, May 2021.
P. T. Agarkar, M. D. Chawan, P. T. Karule, and P. R. Hajare, "A Comprehensive Survey on Routing Schemes and Challenges in Wireless Sensor Networks (WSN)," International Journal of Computer Networks and Applications, vol. 7, no. 6, pp. 193-207, Dec. 2020.
C. Nakas, D. Kandris, and G. Visvardis, "Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey," Algorithms, vol. 13, no. 3, Mar. 2020, Art. no. 72.
B. Seema, N. Yao, A. Carie, and S. B. H. Shah, "Efficient data transfer in clustered IoT network with cooperative member nodes," Multimedia Tools and Applications, vol. 79, no. 45, pp. 34241–34251, Dec. 2020.
M. R. Poornima, H. S. Vimala, and J. Shreyas, "Holistic survey on energy aware routing techniques for IoT applications," Journal of Network and Computer Applications, vol. 213, Apr. 2023, Art. no. 103584.
M. V. Kumaramangalam, K. Adiyapatham, and C. Kandasamy, "Zone-Based Routing Protocol for Wireless Sensor Networks," International Scholarly Research Notices, vol. 2014, no. 1, 2014, Art. no. 798934.
R. N. Jadoon, W. Zhou, W. Jadoon, and I. Ahmed Khan, "RARZ: Ring-Zone Based Routing Protocol for Wireless Sensor Networks," Applied Sciences, vol. 8, no. 7, Jul. 2018, Art. no. 1023.
D. Djabour, W. Abidi, and T. Ezzedine, "Multi-hop Cluster Zones Routing Protocol for Heterogeneous Wireless Sensor Networks (HWSNs)," in 2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Croatia, Sep. 2019, pp. 1–5.
G. Smaragdakis, I. Matta, and A. Bestavros, "SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks," Boston University, May 2004.
S. Faisal, N. Javaid, A. Javaid, M. A. Khan, S. H. Bouk, and Z. A. Khan, "Z-SEP: Zonal-Stable Election Protocol for Wireless Sensor Networks." arXiv, Mar. 24, 2013.
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.
Y. Lei, F. Shang, Z. Long, and Y. Ren, "An Energy Efficient Multiple-Hop Routing Protocol for Wireless Sensor Networks," in 2008 First International Conference on Intelligent Networks and Intelligent Systems, Wuhan, China, Nov. 2008, pp. 147–150.
M. A. Soomro, M. I. Channa, Z. Hussain, and M. Ahmed, "EPLAODV: Energy Priority and Link Aware Ad-hoc On-demand Distance Vector Routing Protocol for Post-disaster Communication Networks," Engineering, Technology & Applied Science Research, vol. 10, no. 1, pp. 5148–5152, Feb. 2020.
P. S. Mehra, M. N. Doja, and B. Alam, "Enhanced Clustering Algorithm based on Fuzzy Logic (E-CAFL) for WSN: E-CAFL for Homogeneous WSN," Scalable Computing: Practice and Experience, vol. 20, no. 1, pp. 41–54, Mar. 2019.
S. Lata, S. Mehfuz, S. Urooj, and F. Alrowais, "Fuzzy Clustering Algorithm for Enhancing Reliability and Network Lifetime of Wireless Sensor Networks," IEEE Access, vol. 8, pp. 66013–66024, 2020.
P. S. Mehra, M. N. Doja, and B. Alam, "Fuzzy based enhanced cluster head selection (FBECS) for WSN," Journal of King Saud University - Science, vol. 32, no. 1, pp. 390–401, Jan. 2020.
Downloads
How to Cite
License
Copyright (c) 2024 Kamel Khedhiri, Djammal Djabbour, Adnen Cherif
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.