Abstract
Sensor node energy is restricted in wireless sensor networks under most circumstances. Some methods have been designed to increase sensor node energy efficiency and wireless network longevity. The clustered routing protocol is used in the proposed method, wherein advanced nodes are employed using this clustered routing protocol to transmit information to the sink and normal nodes are used to send information directly to the sink. Sink is put in the midst of advanced node zones. So, energy will be depleted slowly for the advanced nodes, and there will be a boundary node in a cluster when that cluster is the nearest to the base station. In ZSEP, there are three zones in the network field; advanced nodes are put in two zones, and normal nodes are put in one zone. There will be at least two cluster heads that will be active at once as we add more advanced node zones, resulting in high energy consumption. The suggested technique is simulated with the help of MATLAB R2021a. According to simulation results, our proposed protocol outperforms Zonal-Stable Election Protocol (Z-SEP) throughout the stability phase. Because of the high packet delivery coefficient, the number of active nodes and network efficiency both increase, and there is an optimization of the average power consumption in comparison to other protocols.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
W. R. Heinzelman, A. C. and. H. B., “Energy-Efficient Communication Protocol for Wireless Microsensor Networks,” in Proceeding of the 33rd Hawali International Conference on System Science, 2000.
W. B. Heinzelman, A. P. Chandrakasan and H. B., “An application specific protocol architecture for wireless microsensor networks,” IEEE Transactions on Wireless, vol. VOL. 1, pp. 660–670, 2002.
M. J. Handy, M. H. and D. T., “Low Energy Adaptive Clustering Hierarchy with Deterministic Cluster-Head Selection,” 4th International Workshop on Mobile and Wireless Communications Network, 2002.
G. S. I. M. and A. B., “SEP: A Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks,” 2004.
F. A. Aderohunmu and J. D. Deng, “An Enhanced Stable Election Protocol (SEP) for Clustered Heterogeneous WSN,” 2017.
S. F. N. J.A. J. M. A. Khan, S. H. Bouk and Z. A. Khan, “Z-SEP: Zonal-Stable Election Protocol for Wireless Sensor Networks,” Journal of Basic and Applied Scientific Research (JBASR), 2013.
F. A. Kham, M. K. M. A. A. K. and I. U. Haq, “Hybrid and Multi-hop Advenced Zonal-Stable Election Protocol for Wireless Sensor Networks,” Center of Excellence in Information Technology, Institute of Management Sciences, 2019.
O. Y. and S. F. , “HEED: A Hybrid, Energy Efficient, Distributed clustering approach for Ad Hoc sensor networks,” IEEE Transactions on Mobile Computing, Vols. 3, NO. 4, 2004.
C. D. and H. F., “A Distributed Energy Balance Clustering Protocol for Heterogeneous Wireless Sensor Networks,” IEEE WiCon., 2007.
D. K. T. C. Aseri and R.B. Patel, “Distributed Cluster Head Election (DCHE) Scheme for Improving Lifetime of Heterogeneous Sensor Networks,” Tamkang Journal of Science and Engineering, 2010.
B. A. S. et al., “Improved and Balanced LEACH for heterogeneous wireless sensor networks,” (IJCSE) International Journal on Computer Science and Engineering, Vol. 02, No. 08, 2010.
M. G. Rashed, M. H. Kabir and S. E. Ullah, “WEP: an Energy Efficient Protocol for Cluster Based Heterogeneous Wireless Sensor Network,” International Journal of Distributed and Parallel Systems (IJDPS),Vol.2, No.2, 2011.
K. L.J. . L. . H. L. and Y. S. , “A Density and Distance based Cluster Head Selection Algorithm in Sensor Networks,” ICACT, 2010.
S. K. Gupta, N. J. and P. S., “Node Degree Based Clustering for WSN,” International Journal of Computer Applications (IJCA), vol. 40– No.16, 2012.
S. A. and P. S., “Lifetime Maximization of Wireless Sensor Network Using Fuzzy based Unequal Clustering and ACO based Routing Hybrid Protocol,” Appl Intell, vol. 48, pp. 2229–2246, 2018.
H.Z. and H. S., “Balancing Energy Consumption to Maximize Network Lifetime in Data-Gathering Sensor Networks,” IEEE Trans. Parallel Distrib. Syst., vol. 20, no.10, pp. 1526–1539, 2009.
C.-M. Y. and M.-L. K., “Joint Hybrid Transmission and Adaptive Routing for Lifetime Extension of WSNs,” IEEE Access, vol.6, pp. 21658–21667, 2018.
M. Z. Hasan and F. A.-T., “Optimizing Multipath Routing with Guaranteed Fault Tolerance in Internet of Things,” IEEE Sensors J., vol. 17, pp. 6463–6473, 2017.
P. G. et al., “Path Finding for Maximum Value of Information in Multi-modal Underwater Wireless Sensor Networks,” IEEE Trans. Mobile Comput., vol. 17, no. 2, pp. 404–418, 2018.
N.S. and M. I. zuzu Iragena, “Enhanced Clustering Protocol in Zonal-Stable Election Protocol for WSN,” International Journal of Scientific Research and Modern Technology, vol. 2, no. 2, 2022.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Meitei, A.H., Yadav, A.K.S. (2023). Development of Energy Efficient Routing Protocol for Lifespan Optimization in Wireless Sensor Networks (EERP). In: Mishra, M., Kesswani, N., Brigui, I. (eds) Applications of Computational Intelligence in Management & Mathematics. ICCM 2022. Springer Proceedings in Mathematics & Statistics, vol 417. Springer, Cham. https://doi.org/10.1007/978-3-031-25194-8_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-25194-8_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-25193-1
Online ISBN: 978-3-031-25194-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)