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Improved Energy-Efficient Hybrid Protocol (I-EEHP) to Maximize Energy Conservation in Wireless Sensor Networks


Affiliations
1 Manipal School of Information Sciences, Manipal Academy of Higher Education, Manipal, Udupi., India
2 Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal., India
 

Nodes running on small batteries in a wireless sensor network (WSN) act as sensors, monitors, and controllers for the entire system. In IoT contexts, these sensor nodes are increasingly common for monitoring, measurement, and control. Minimizing the sensor nodes' energy consumption is essential for maximizing energy conservation and extending the nodes' lifespan. Prolonging the lifetime of a WSN helps cut down on the cost needed to replace or redeploy it. According to reviews of the literature, most of the energy is used for routing and data transfer. This article suggests an "Improved Energy-Efficient Hybrid Protocol (I-EEHP) to Maximize Energy Conservation in Wireless Sensor Networks" that combines these two elements to maximize energy efficiency in order to reduce the energy consumption resulting from routing and data transfer. The data transfer method of an "Energy Efficient Hybrid Protocol (EEHP)" is modified to design the I-EEHP. The I-EEHP uses a multihop hierarchical communication method to reduce energy usage. This makes the routing more energy efficient. In addition, this protocol uses a technique based on IEEE 802.15.4 CSMA/CA to exchange data between cluster members, cluster heads, and sink nodes. This aids in node energy conservation, which ultimately increases the lifespan of the network. The efficiency of the proposed I-EEHP was compared with the already existing LEACH, EEHC, and EEHP using the simulation results. The I-EEHP exhibits noteworthy enhancements in network performance with regards to lifetime, energy, overhead, and packet delivery. The I-EEHP is a feasible option for low-cost and low-power WSN applications.

Keywords

Wireless Sensor Network, Energy Efficiency, Multihop Communication, Energy Consumption, Residual Energy, Routing Overhead, Packet Delivery Ratio.
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  • P. Abidoye and B. Kabaso, “Energy-efficient hierarchical routing in wireless sensor networks based on fog computing,” Eurasip J. Wirel. Commun. Netw., vol. 2021, no. 1, Dec. 2021, doi: 10.1186/s13638 -020-01835-w.

  • A. Pegatoquet, T. N. Le, and M. Magno, “A Wake-Up Radio-Based MAC Protocol for Autonomous Wireless Sensor Networks,” IEEE/ACM Trans. Netw., vol. 27, no. 1, pp. 56–70, 2019, doi: 10.1109/TNET.2018.2880797.

  • W. Ye, J. Heidemann, and D. Estrin, “An Energy-Efficient MAC Protocol for Wireless Sensor Networks,” IEEE 2002.

  • J. Yick, B. Mukherjee, and D. Ghosal, “Wireless sensor network survey,” Comput. Networks, vol. 52, no. 12, pp. 2292–2330, Aug. 2008, doi: 10.1016/j.comnet.2008.04.002.

  • F. Safara, A. Souri, T. Baker, and I. Al, “PriNergy : a priority ‑ based energy ‑ efficient routing method for IoT systems,” J. Supercomput., vol. 76, no. 11, pp. 8609–8626, 2020, doi: 10.1007/s11227-020-03147-8.

  • C. Nakas, D. Kandris, and G. Visvardis, “Energy efficient routing in wireless sensor networks: A comprehensive survey,” Algorithms, vol. 13, no. 3. MDPI AG, Mar. 01, 2020, doi: 10.3390/a13030072.

  • M. W. Samah Alhazmi, Sadia Firdous, and Nargis Bibi, “Efficient Clustering Based Routing for Energy Management in Wireless Sensor Network-Assisted Internet of Things,” MDPI, vol. 11, no. (23), 3922, 2022, https://doi.org/10.3390/electronics11233922.

  • K. Singh, “WSN LEACH based protocols: A structural analysis,” Dec. 2015, doi: 10.1109/IEMCON.2015.7344478.

  • Y. Z. Li, A. L. Zhang, and Y. Z. Liang, “Improvement of leach protocol for wireless sensor networks,” Proc. of 3rd Int. Conf. Instrum. Meas. Comput. Commun. Control. IMCCC 2013, pp. 322–326, 2013, doi: 10.1109/IMCCC.2013.74.

  • A. Wendi B. Heinzelman, Anantha P. Chandrakasan, and I. Hari Balakrishnan, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE Trans. Wirel. Commun., vol. 1, no. 4, 2002.

  • J. A. Abdelkader Benelhouri and Hafida Idrissi-Saba, “An evolutionary routing protocol for load balancing and QoS enhancement in IoT enabled heterogeneous WSNs,” Simul. Model. Pract. Theory, 2023, doi: https://doi.org/10.1016/j.simpat.2023.102729.

  • M. S. Bahbahani and E. Alsusa, “A Cooperative Clustering Protocol with Duty Cycling for Energy Harvesting Enabled Wireless Sensor Networks,” IEEE Trans. Wirel. Commun., vol. 17, no. 1, pp. 101–111, Jan. 2018, doi: 10.1109/TWC.2017.2762674.

  • D. Resner, G. Medeiros de Araujo, and A. A. Fröhlich, “Design and implementation of a cross-layer IoT protocol,” Sci. Comput. Program., vol. 165, pp. 24–37, Nov. 2018, doi: 10.1016/j.scico.2017.08.008.

  • V. D. K. Jayachandran J, “A Survey on Clustering Algorithms and Proposed Architectural Framework for Border Surveillance System in Wireless Sensor Networks”, Int. J. Comput. Networks Appl., vol. 9, no. 6, 2022, doi: 10.22247/ijcna/2022/217710.

  • M. J. Handy, M. Haase, and D. Timmermann, “Low energy adaptive clustering hierarchy with deterministic cluster-head selection,” 2002 4th Int. Work. Mob. Wirel. Commun. Network, MWCN 2002, no. 1, pp. 368–372, 2002, doi: 10.1109/MWCN.2002.1045790.

  • B. R. Ali M, Dey T, “ALEACH: Advanced LEACH routing protocol for wireless microsensor networks,” Proc. Int. Conf. Electr. Comput. Eng., pp. 909-14, 2008, DOI10.1109/ICECE.2008.4769341.

  • M. C. M. T. and T. Thein, “An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks,” Proc. Int. Conf. Intell. Syst., Model. Simul., pp. 287-291, 2010, DOI: 10.1109/ISMS.2010.60.

  • A. A. and M. I. Mohammad, “Hybrid LEACH: A Relay Node Based Low Energy Adaptive Clustering Hierarchy for Wireless Sensor Networks,” Proc. Int. Conf. Commun., pp. 911-916, 2009, DOI: 10.1109/MICC.2009.5431462.

  • Yuling Li, Luwei Ding, Feng Liu, “The Improvement of LEACH Protocol in WSN,” Proc. Int. Conf. Comput. Sci. Netw. Technol., pp. 1345-1348, 2011, DOI: 10.1109/ICCSNT.2011.6182209.

  • Rui Hou; Weizheng Ren; Yaodong Zhang, “A wireless sensor network clustering algorithm based on energy and distance,” Proc. Work. Comput. Sci. Eng., pp. 439-442, 2010, DOI: 10.1109/WCSE.2009.705.

  • T. G. Nguyen, C. So-In, and N. G. Nguyen, “Two energy-efficient cluster head selection techniques based on distance for wireless sensor networks,” 2014 Int. Comput. Sci. Eng. Conf. ICSEC 2014, pp. 33–38, 2014, doi: 10.1109/ICSEC.2014.6978125.

  • Md. Saiful Islam Rubel, Nahi Kandil, Nadir Hakem, “Energy Efficient Hybrid Clustering Approach in Wireless Sensor Network (WSN),” 2018 USN. Radio Sci. Meet. (Joint with AP-S Symp.), pp. 125–126, 2018, 978-1-5386-7105-4/18/$31.00 ©2018 IEEE.

  • S. Taruna, S. Kohli, and G. N. Purohit, “Energy efficient and minimal path selection of nodes to cluster head in homogeneous wireless sensor networks,” Advances in Intelligent and Soft Computing, 2012, vol. 167 AISC, no. VOL. 2, pp. 275–284, doi: 10.1007/978-3-642-30111-7_26.

  • T. Kaur and D. Kumar, “Computational intelligence-based energy efficient routing protocols with QoS assurance for Wireless Sensor Networks: A survey,” International Journal of Wireless and Mobile Computing, vol. 16, no. 2. Inderscience Publishers, pp. 172–193, 2019, doi: 10.1504/IJWMC.2019.099043.

  • S. Arockiaraj, K. Makkithaya, and N. Harishchandra Hebbar, “Energy-Efficient Hybrid Protocol for Wireless Sensor Networks,” Int. J. Comput. Networks Appl., vol. 8, no. 6, pp. 804–817, 2021, doi: 10.22247/ijcna/2021/210728.

  • A. Singh, S. Rathkanthiwar, and S. Kakde, “LEACH based-energy efficient routing protocol for wireless sensor networks,” in International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016, Nov. 2016, pp. 4654–4658, doi: 10.1109/ICEEOT.2016.7755602.

  • N. P. R. Kumar and J. B. Gnanadhas, “Cluster centroid-based energy efficient routing protocol for WSN-assisted IoT,” Adv. Sci. Technol. Eng. Syst., vol. 5, no. 4, pp. 296–313, Jul. 2020, doi: 10.25046/aj050436.

  • M. F. Ullah, J. Imtiaz, and K. Q. Maqbool, “Enhanced three layer hybrid clustering mechanism for energy efficient routing in IoT,” Sensors (Switzerland), vol. 19, no. 4, Feb. 2019, doi: 10.3390/s19040829.

  • S. Arockiaraj, H. Hebbar, and K. Makkithaya, “MAC Layer Protocol Selection Mechanism for the Energy Efficient Cross Layer Protocol Design of Wireless Sensor Network,” pp. 1–6, 2021, doi: 10.1109/apsit52773.2021.9641450.

  • P. Hurni, T. Braun, B. K. Bhargava, and Y. Zhang, “Multi-Hop Cross-Layer Design in Wireless Sensor Networks: A Case Study,” IEEE 2008, DOI: 10.1109/WiMob.2008.28.

  • Y. Z. Zhao, C. Y. Miao, and M. Ma, “An energy-efficient self-adaptive duty cycle MAC protocol for traffic-dynamic wireless sensor networks,” Wirel. Pers. Commun., vol. 68, no. 4, pp. 1287–1315, Feb. 2013, doi: 10.1007/s11277-012-0508-7.

  • L. Adnan, K. Al, and R. B. Ahmad, “Performance Comparison of Different MAC Protocols over Wireless Body Area Networks (WBAN) Performance Comparison of Different MAC Protocols over Wireless Body,” Aust. J. Basic Appl. Sci., vol. 11, no. April, pp. 34–40, 2017, ISSN:1991-8178, EISSN: 2309-8414

  • N. S. P. S. Shanmuga Priya, “Energy-Efficient Trust and Quarantine-Based Secure Data Transmission in Wireless Sensor Networks,” Int. J. Comput. Networks Appl. (IJCNA), V, vol. 10, no. 2, 2023, doi: 10.22247/ijcna/2023/220733.

  • J. A. Haqbeen, T. Ito, M. Arifuzzaman, and T. Otsuka, “Intelligent Cross-Layer Protocol with traffic-differentiation-based QoS for wireless sensor networks,” IEEE Region 10 Annual International Conference, Proceedings/TENCON, Feb. 2017, pp. 1088–1092, doi: 10.1109/TENCON.2016.7848176.

  • A. C. and I. D. Ernesto Garc Davis, “Improving Packet Delivery Performance of Publish_Subscribe Protocols in Wireless Sensor Networks Enhanced Reader,” Sensors 2013, 13(1), 648-680; https://doi.org/10.3390/s130100648.

  • MATLAB Documentation, “IEEE 802.15.4 - Asynchronous CSMA MAC,” MATLAB, 2021. https://in.mathworks.com/help/comm/ug/ieee-802-15-4-asynchronous-csma-mac.html.

  • M. M. G. Sunil Kumar and Gupteswar Sahu, “Cluster Head Selection for Energy Balancing in Wireless Sensor Networks Using Modified Salp Swarm Optimization,” Int. J. Comput. Networks Appl., vol. 10, no. 1, 2023, doi: 10.22247/ijcna/2023/218508.

  • N. Janbakhsh and M. R. Pakravan, “An Energy Efficient Cross-Layer Protocol for Wireless Sensor Networks,” in 26th Iranian Conference on Electrical Engineering, ICEE 2018, Sep. 2018, pp. 493–498, doi: 10.1109/ICEE.2018.8472411. How to cite this article:

  • M. Razzaq, D. Devi Ningombam, and S. Shin, “Energy efficient K-means clustering-based routing protocol for WSN using optimal packet size,” International Conference on Information Networking, 2018, vol. 2018-Janua, no. 1, pp. 632–635, doi: 10.1109/ICOIN.2018.8343195.

  • M. Ahyar et al., “Comparison of energy efficiency and routing packet overhead in single and multi path routing protocols over S-MAC for wireless sensor network,” Intech, vol. i, no. 1, pp. 406–411, 2015, doi: 10.1109/EMS.2012.66.

  • M. R. Senouci, A. Mellouk, H. Senouci, and A. Aissani, “Performance evaluation of network lifetime spatial-temporal distribution for WSN routing protocols,” J. Netw. Comput. Appl., vol. 35, no. 4, pp. 1317– 1328, Jul. 2012, doi: 10.1016/j.jnca.2012.01.016.

  • A. Jamatia, K. Chakma, N. Kar, D. Rudrapal, and S. Debbarmai, “Performance Analysis of Hierarchical and Flat Network Routing Protocols in Wireless Sensor Network Using Ns-2,” Int. J. Model. Optim., vol. 5, no. 1, pp. 40–43, 2015, doi: 10.7763/ijmo.2015.v5.433.

  • I. F. Akyildiz and M. C. Vuran, “Wireless Sensor Networks : A Survey Revisited,” Comput. Networks, pp. 1–45, 2005.


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  • Improved Energy-Efficient Hybrid Protocol (I-EEHP) to Maximize Energy Conservation in Wireless Sensor Networks

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Authors

S. Arockiaraj
Manipal School of Information Sciences, Manipal Academy of Higher Education, Manipal, Udupi., India
Krishanamoorthi Makkithaya
Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal., India
Harishchandra Hebbar N.
Manipal School of Information Sciences, Manipal Academy of Higher Education, Manipal, Udupi., India

Abstract


Nodes running on small batteries in a wireless sensor network (WSN) act as sensors, monitors, and controllers for the entire system. In IoT contexts, these sensor nodes are increasingly common for monitoring, measurement, and control. Minimizing the sensor nodes' energy consumption is essential for maximizing energy conservation and extending the nodes' lifespan. Prolonging the lifetime of a WSN helps cut down on the cost needed to replace or redeploy it. According to reviews of the literature, most of the energy is used for routing and data transfer. This article suggests an "Improved Energy-Efficient Hybrid Protocol (I-EEHP) to Maximize Energy Conservation in Wireless Sensor Networks" that combines these two elements to maximize energy efficiency in order to reduce the energy consumption resulting from routing and data transfer. The data transfer method of an "Energy Efficient Hybrid Protocol (EEHP)" is modified to design the I-EEHP. The I-EEHP uses a multihop hierarchical communication method to reduce energy usage. This makes the routing more energy efficient. In addition, this protocol uses a technique based on IEEE 802.15.4 CSMA/CA to exchange data between cluster members, cluster heads, and sink nodes. This aids in node energy conservation, which ultimately increases the lifespan of the network. The efficiency of the proposed I-EEHP was compared with the already existing LEACH, EEHC, and EEHP using the simulation results. The I-EEHP exhibits noteworthy enhancements in network performance with regards to lifetime, energy, overhead, and packet delivery. The I-EEHP is a feasible option for low-cost and low-power WSN applications.

Keywords


Wireless Sensor Network, Energy Efficiency, Multihop Communication, Energy Consumption, Residual Energy, Routing Overhead, Packet Delivery Ratio.

References





DOI: https://doi.org/10.22247/ijcna%2F2023%2F221901