Abstract
A wireless sensor networks comprised of massive micro-sensor devices which installed in geographical areas used for surveillance, monitoring and control the applications and remote sensing process. Several smart WSN (wireless sensor network) applications have been raised nowadays. The efficiency of the WSN advancement applications have some issues such as lifetime duration, energy consumption and reliable communication. The cluster based hierarchical routing protocols like LEACH used to improvise the transmission of data techniques. But randomized cluster head selection affects the lifetime of network and energy and other QoS parameters. Hence the enhancement of the routing protocol has highly needed to optimize the QoS parameters for obtaining efficiency. To improve the QoS parameters of energy efficiency, network lifetime, stability, throughput and other parameters the efficient routing protocol developed based on efficient clustering approach of cluster head (CH) selection in time division multiple access (TDMA) schedule. For WSN, to attain the efficiency the optimal QoS parameters the efficient hybrid clustering approach and TDMA schedule based new routing protocol Q-LEACH has been proposed. For homogeneous and heterogeneous network of WSN the fitness function has been calculated. Hence the optimal cluster head CH has been selected from the fitness function leads to minimal energy and balancing of load. As per TDMA frame redesign every cluster node has its turn for data transmission in allocated slot. Hence all nodes equally send’s the data as per allocated slot and hence same amount of energy also used. Hence energy efficiency leads to long network life time. The proposed work of efficient hybrid clustering approach has been analysed in terms of QoS parameters such as energy efficiency, network lifetime, throughput and other parameters. The results of the proposed study evaluated with other existing approaches and comparative analysis have been performed. By comparison it shows that the proposed method yields better network stability compared to existing protocols.
Similar content being viewed by others
Data Availability
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
-
7.
https://www.acadpubl.eu/jsi/2018-118-16-17/articles/16/29.pdf
- 8.
- 9.
- 10.
- 11.
- 12.
- 13.
- 14.
- 15.
- 16.
- 17.
- 18.
- 19.
- 20.
- 21.
- 22.
- 23.
- 24.
- 25.
- 26.
- 27.
- 28.
- 29.
- 30.
- 31.
- 32.
- 33.
- 34.
- 35.
- 36.
- 37.
Code Availability
N\A.
References
Thakur, U. K., & Dethe, C. (2019). QoS aware cloud based routing protocol for security improvement of hybrid wireless network. Machine Learning Research, 4, 21.
Kaur, S., & Mir, R. N. (2016). Clustering in wireless sensor networks-a survey. International Journal of Computer Network and Information Security, 8, 38.
Kaur, T., & Kumar, D. (2019) A survey on QoS mechanisms in WSN for computational intelligence based routing protocols. Wireless Networks (pp. 1–22)
Jaiswal, K., & Anand, V. (2019). EOMR: An energy-efficient optimal multi-path routing protocol to improve QoS in wireless sensor network for IoT applications. Wireless Personal Communications (pp. 1–23).
Aadri, A., & Idrissi, N. (2017). An energy efficient hierarchical routing scheme for wireless sensor networks. Computer Science Information Technology, pp. 137–148.
Sarkar, A., & Murugan, T. S. (2016). Routing protocols for wireless sensor networks: What the literature says? Alexandria Engineering Journal, 55, 3173–3183.
Priya, I. L., Lalitha, S., & Paul, P. V. (2018). Energy Efficient Routing Models in Wireless Sensor Networks-A Recent Trend Survey. International Journal of Pure and Applied Mathematics, 118, 443–458.
Guleria, K., & Verma, A. K. (2019). Comprehensive review for energy efficient hierarchical routing protocols on wireless sensor networks. Wireless Networks, 25, 1159–1183.
Bhavana, V., Rathi, J., Reddy, K. R., & Madhavi, K. (2018). Energy efficiency routing protocols in wireless sensor networks—A comparative study. International Journal of Pure and Applied Mathematics, 118, 585–591.
Han, G., Jiang, J., Guizani, M., & Rodrigues, J. J. C. (2016). Green routing protocols for wireless multimedia sensor networks. IEEE Wireless Communications, 23, 140–146.
Gao, T., Song, J.-Y., Zou, J.-Y., Ding, J.-H., Wang, D.-Q., & Jin, R.-C. (2016). An overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks. Wireless Networks, 22, 135–157.
Jadidoleslamy, H. (2017). A hierarchical multipath routing protocol in clustered wireless sensor networks. Wireless Personal Communications, 96, 4217–4236.
Tyagi, P. & Verma, V. (2018). Leach routing protocol for wireless sensor networks: A survey. Journal of Advances in Computational Intelligence and Communication Technologies (vol. 2).
Tandel, R. I. (2016). Leach protocol in wireless sensor network: A survey. International Journal of Computer Science and Information Technologies, 7, 1894–1896.
Arora, V. K., Sharma, V., & Sachdeva, M. (2016). A survey on LEACH and other’s routing protocols in wireless sensor network. Optik, 127, 6590–6600.
Sirajuddin, M., & Srikanth, M. (2018). INCREASING THE LIFE SPAN OF WIRELESS SENSOR NETWORKS USING IMPROVED LEACH PROTOCOL. International Journal of Pure and Applied Mathematics, 120, 7481–7493.
Singh, S. K., Kumar, P., & Singh, J. P. (2017). A survey on successors of LEACH protocol. IEEE Access, 5, 4298–4328.
Bhushan, B., & Sahoo, G. (2019). Routing protocols in wireless sensor networks. In: Computational intelligence in sensor networks. Springer (pp. 215–248).
Xu, L., Collier, R., & O’Hare, G. M. (2017). A survey of clustering techniques in WSNs and consideration of the challenges of applying such to 5G IoT scenarios. IEEE Internet of Things Journal, 4, 1229–1249.
Kaur, T., & Kumar, D. (2019). Computational intelligence-based energy efficient routing protocols with QoS assurance for wireless sensor networks: A survey. International Journal of Wireless and Mobile Computing, 16, 172–193.
Kirsan, A. S., Al Rasyid, M. U. H. & Syarif, I. (2019). Efficient energy for cluster head selection using new LEACH-based routing protocol in wireless sensor network. In: 2019 international electronics symposium (IES) (pp. 70–75).
Ahmad, S., Zafar, M. H., Ashraf, M., Khan, I., & Khan, F. Q. (2018). Energy-efficient TDMA based clustering scheme for WSN. In: Proceedings of the Pakistan academy of sciences: A. physical and computational sciences (Vol. 55, pp. 53–65).
Agarkhed, J., & Patil, Y. D. (2019). Energy efficient service differentiated QoS aware routing in cluster-based wireless sensor network. International Journal of Hybrid Intelligence, 1, 79–95.
Samara, G., & Aljaidi, M. (2019). Efficient energy, cost reduction, and QoS based routing protocol for wireless sensor networks. arXiv preprint arXiv:1903.09636.
Brar, G. S., Rani, S., Chopra, V., Malhotra, R., Song, H., & Ahmed, S. H. (2016). Energy efficient direction-based PDORP routing protocol for WSN. IEEE access, 4, 3182–3194.
Rozas, A., & Araujo, A. (2019). An application-aware clustering protocol for wireless sensor networks to provide QoS management. Journal of Sensors, vol. 2019.
Al-Baz, A., & El-Sayed, A. (2018). A new algorithm for cluster head selection in LEACH protocol for wireless sensor networks. International Journal of Communication Systems, 31, 3407.
Zhu, F., & Wei, J. (2019). An energy-efficient unequal clustering routing protocol for wireless sensor networks. International Journal of Distributed Sensor Networks, 15, 1550147719879384.
Bahbahani, M. S. & Alsusa, E. (2017). DC-LEACH: A duty-cycle based clustering protocol for energy harvesting WSNs. In: 2017 13th international wireless communications and mobile computing conference (IWCMC) (pp. 974–979).
Batra, P. K., & Kant, K. (2016). LEACH-MAC: A new cluster head selection algorithm for wireless sensor networks. Wireless Networks, 22, 49–60.
Dutt, S., Agrawal, S., & Vig, R. (2018). Cluster-head restricted energy efficient protocol (CREEP) for routing in heterogeneous wireless sensor networks. Wireless Personal Communications, 100, 1477–1497.
Gupta, V. & Doja, M. (2018) H-leach: Modified and efficient leach protocol for hybrid clustering scenario in wireless sensor networks. In: Next-generation networks (pp. 399–408), Springer.
Hasan, M. Z., Al-Rizzo, H., & Al-Turjman, F. (2017). A survey on multipath routing protocols for QoS assurances in real-time wireless multimedia sensor networks. IEEE Communications Surveys & Tutorials, 19, 1424–1456.
Kalaivaani, P., & Krishnamoorthy, R. (2019). Performance analysis of various hierarchical routing protocols using spatial correlation. Measurement, 144, 44–51.
Mostafaei, H. (2018). Energy-efficient algorithm for reliable routing of wireless sensor networks. IEEE Transactions on Industrial Electronics, 66, 5567–5575.
Sarkar, A., & Murugan, T. S. (2019). Cluster head selection for energy efficient and delay-less routing in wireless sensor network. Wireless Networks, 25, 303–320.
Beni G. & Christopher, C. S. (2018). Analysis of energy efficient routing protocols in wireless sensor networks.
Tiab, A., Bouallouche-Medjkoune, L., & Boulfekhar, S. (2018). A new QoS aware and energy efficient opportunistic routing protocol for wireless sensor networks. International Journal of Parallel, Emergent and Distributed Systems, 33, 52–68.
Zenia, N. Z., Aseeri, M., Ahmed, M. R., Chowdhury, Z. I., & Kaiser, M. S. (2016). Energy-efficiency and reliability in MAC and routing protocols for underwater wireless sensor network: A survey. Journal of Network and Computer Applications, 71, 72–85.
Marappan, P., & Rodrigues, P. (2016). An energy efficient routing protocol for correlated data using CL-LEACH in WSN. Wireless Networks, 22, 1415–1423.
Priya, J. S., Alenazy, W. M., & Sathyabama, A. (2021). Energy efficient cluster based routing protocol for WSN based on hybrid BSO-TLBO optimization model.
Funding
This research work was not funded by any organization/institute/agency.
Author information
Authors and Affiliations
Contributions
I Am Dr. Preetha Marappan Hereby State That The Manuscript Title Entitled “A HYBRID CLUSTERING APPROACH BASED Q-LEACH IN TDMA TO OPTIMIZE QOS-PARAMETERS” Submitted To The Wireless Personal Communications, I Confirm That This Work Is Original And Has Not Been Published Elsewhere, Nor Is It Currently Under Consideration For Publication Elsewhere. And I Am Professor In the Department of CSE, Prince Shri Venkateshwara Padmavathy Engineering College, and Chennai. I’m the corresponding author of our paper, my contribution work on this paper is to Writing, developing, and reviewing the content of the manuscript. And my co-authors N. Anil Kumar, K. Elavarasi, T. Vignesh and Dr. V. Nagaraju works were to cite the figure, table and references. We are the entire contributors of our paper. And no other third party people involved in this paper.
Corresponding author
Ethics declarations
Conflicts of interest
I confirm that this work is original and has either not been published elsewhere, or is currently under consideration for publication elsewhere. None of the authors have any competing interests in the manuscript.
Ethics Approval
No animals or human participants are involved in this research work.
Informed Consent
I confirm that any participants (or their guardians if unable to give informed consent, or next of kin, if deceased) who may be identifiable through the manuscript (such as a case report), have been given an opportunity to review the final manuscript and have provided written consent to publish.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Preetha, M., Anil Kumar, N., Elavarasi, K. et al. A Hybrid Clustering Approach Based Q-Leach in TDMA to Optimize QOS-Parameters. Wireless Pers Commun 123, 1169–1200 (2022). https://doi.org/10.1007/s11277-021-09175-8
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-021-09175-8