Pragmatic Distribution Based Routing Cluster to Improve Energy Efficient Cluster lifetime for Wireless Sensor Networks

S.V. Harish, N.V. Archana


Energy consumed by the  sensor nodes are more sporadic in a sensor networks. A skilled way to bring down energy consumption and extend maximum life-time of any sensor present can be of evenly and unevenly distributed random area networks. Cluster heads are more responsible for the links between the source and destination. Energy consumption are much compare to member nodes of the network. Re-clustering will take place if the connectivity in the distributed network failure occurs in between the cluster networks  that will affects redundancy in the network efficiency. Hence, we propose  pragmatic distribution based routing cluster lifetime using fitness function (PDBRC) prototype  is better than the existing protocol using MATLAB 2021a simulation tool.

Full Text:



Wu, H., Zhong, Z., & Hanzo, L. (2010, December). A cluster-head selection and update algorithm for ad hoc networks. In 2010 IEEE Global Telecommunications Conference GLOBECOM 2010 (pp. 1-5). IEEE.

Liu, T., Li, Q., & Liang, P. (2012). An energy-balancing clustering approach for gradient-based routing in wireless sensor networks. Computer Communications, 35(17), 2150-2161.

Mahajan, S., Malhotra, J., & Sharma, S. (2014). An energy balanced QoS based cluster head selection strategy for WSN. Egyptian Informatics Journal, 15(3), 189-199.

Dattatraya, K. N., & Rao, K. R. (2019). Hybrid based cluster head selection for maximizing network lifetime and energy efficiency in WSN. Journal of King Saud University-Computer and Information Sciences.

Karmaker, A., Hasan, M. M., Moni, S. S., & Alam, M. S. (2016, December). An efficient cluster head selection strategy for provisioning fairness in wireless sensor networks. In 2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) (pp. 217-220). IEEE.

Kannan, G., & Raja, T. S. R. (2015). Energy efficient distributed cluster head scheduling scheme for two tiered wireless sensor network. Egyptian Informatics Journal, 16(2), 167-174.

Ke, W., Yangrui, O., Hong, J., Heli, Z., & Xi, L. (2016). Energy aware hierarchical cluster-based routing protocol for WSNs. The Journal of China Universities of Posts and Telecommunications, 23(4), 46-52.

Ray, A., & De, D. (2016). Energy efficient clustering protocol based on K‐means (EECPK‐means)‐midpoint algorithm for enhanced network lifetime in wireless sensor network. IET Wireless Sensor Systems, 6(6), 181-191.

Kaur, L., & Kad, S. (2018, March). Modified EECPK-means mid-point algorithm for enhancing network life expactancy in WSN. In 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 1262-1265). IEEE.

Bozorgi, S. M., Rostami, A. S., Hosseinabadi, A. A. R., & Balas, V. E. (2017). A new clustering protocol for energy harvesting-wireless sensor networks. Computers & Electrical Engineering, 64, 233-247.

Mann, P. S., & Singh, S. (2019). Improved metaheuristic-based energy-efficient clustering protocol with optimal base station location in wireless sensor networks. Soft Computin g, 23(3), 1021-1037.

Arjunan, S., & Pothula, S. (2019). A survey on unequal clustering protocols in wireless sensor networks. Journal of King Saud University-Computer and Information Sciences, 31(3), 304-317.

Sharma, D., Ojha, A., & Bhondekar, A. P. (2019). Heterogeneity consideration in wireless sensor networks routing algorithms: a review. The journal of supercomputing, 75(5), 2341-2394.

Sangaiah, A. K., Rostami, A. S., Hosseinabadi, A. A. R., Shareh, M. B., Javadpour, A., Bargh, S. H., & Hassan, M. M. (2021). Energy-aware geographic routing for real-time workforce monitoring in industrial informatics. IEEE Internet of Things Journal, 8(12), 9753-9762.

Yadav, R. K., & Mahapatra, R. P. (2021). Energy aware optimized clustering for hierarchical routing in wireless sensor network. Computer Science Review, 41, 100417.

Latiff, A., Latiff, N. A., & Ahmad, R. B. (2015). Enhancement of Wireless Sensor Network Lifetime with Mobile Base Station Using Particle Swarm Optimization. International Review on Computers and Software (IRECOS), 10(2), 189-199.

Ahmed, Z. E., Saeed, R. A., Mukherjee, A., & Ghorpade, S. N. (2020). Energy optimization in low-power wide area networks by using heuristic techniques. LPWAN technologies for IoT and M2M applications, 199-223.

Khalifeh, A., Abid, H., & Darabkh, K. A. (2020). Optimal cluster head positioning algorithm for wireless sensor networks. Sensors, 20(13), 3719.

H. S. V and A. NV, "Efficient Load Balancing and Extended Network Lifetime for Cluster Based Routing Wireless Sensor Networks Using Fitness Function Algorithm," 2021 IEEE Mysore Sub Section International Conference (MysuruCon), 2021, pp. 653-659, doi: 10.1109/MysuruCon52639.2021.9641541.


  • There are currently no refbacks.

International Journal of Electronics and Telecommunications
is a periodical of Electronics and Telecommunications Committee
of Polish Academy of Sciences

eISSN: 2300-1933