Several routing protocols are being developed and used to develop energy-efficient wireless sensor networks. The necessity of saving energy is the need for technology as well as the scarcity of conventional energy. The wireless sensor nodes are run on battery power with energy limitations; therefore, this study needs to develop wireless sensor networks that can be kept alive for a longer period. From a computer science point of view, a routing mechanism can help in the improvement of the network. This research aims to design and develop a routing protocol that utilizes less energy and keeps sensor networks alive for longer period while using limited energy. An efficient and intelligent even-odd scheduling-based routing protocol influenced by LEACH has been proposed to achieve this goal. During transmission, this protocol alternatively considers evenly or oddly indexed nodes. The concept in this approach is to keep the node into consideration when it is ready to send data and when it is in the queue. Any node that is not in the queue or does not have data will not consume any significant energy, and thus the whole network conserves energy after each transmission round.

• Akila, V., & Sheela, T., (2017). Preserving data and key privacy in data aggregation for wireless sensor networks. In 2017 2nd International Conference on Computing and Communications Technologies (ICCCT) (pp. 282-287). IEEE Publishing. https: //doi.org/10.1109/ICCCT2.2017.7972286

• Basavaraj, G. N., & Jaidhar, C. D. (2017). H-LEACH protocol with modified cluster head selection for WSN. In 2017 International Conference on Smart Technologies for Smart Nation (SmartTechCon) (pp. 30-33). IEEE Publishing. https://doi.org/10.1109/SmartTechCon.2017.8358338

• Cao, Y., & Zhang, L. (2018). Energy optimization protocol of heterogeneous WSN based on node energy. In 2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) (pp. 495-499). IEEE Publishing. https://doi.org/10.1109/ICCCBDA.2018.8386566

• Cao, Y., & Zhang, L. (2018). Energy optimization protocol of heterogeneous WSN based on node energy. In 2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) (pp. 495-499). IEEE Publishing. https://doi.org/10.1109/ICCCBDA.2018.8386566

• Chowdhury, M. M. J., Sadi, S. H., & Sabuj, S. R. (2018). An analytical study of single and two-slope model in wireless sensor networks. In 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (pp. 1-6). IEEE Publishing. https://doi.org/10.1109/ANTS.2018.8710109

• Gupta, S. K., Kuila, P., & Jana, P. K. (2016). Energy efficient multipath routing for wireless sensor networks: A genetic algorithm approach. In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1735-1740). IEEE Publishing. https://doi.org/10.1109/ICACCI.2016.7732298

• Karmaker, A., Hasan, M. M., Moni, S. S., & Alam, M. S. (2016). 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 Publishing. https://doi.org/10.1109/WIECON-ECE.2016.8009121

• Kavya, B., Vani, V., & Roopa, H. (2020). Efficient cluster head rotation based on residual energy to extend network lifetime. In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 774-777). IEEE Publishing. https://doi.org/10.1109/ICIRCA48905.2020.9182843

• Kumar, H., Nagarjun, E., & Kumar, S. M. D. (2019). EASM: Energy-aware sink mobility algorithm to prolong network lifetime in WSN. In 2019 IEEE 16th India Council International Conference (INDICON) (pp. 1-4). IEEE Publishing. https://doi.org/10.1109/INDICON47234.2019.9029040

• Mahajan, S., & Banga, V. K. (2015). ICBEENISH: Inter cluster data aggregation balanced energy efficient network integrated super heterogeneous protocol for wireless sensor networks. In 2015 Twelfth International Conference on Wireless and Optical Communications Networks (WOCN) (pp. 1-5). IEEE Publishing. https://doi.org/10.1109/WOCN.2015.8064507

• Manzoor, K., Jokhio, S. H., Khanzada, T. J., & Jokhio, I. A. (2019). Enhanced TL-LEACH routing protocol for large-scale WSN applications. In 2019 Cybersecurity and Cyberforensics Conference (CCC) (pp. 35-39). IEEE Publishing. https://doi.org/10.1109/CCC.2019.00-12

• Pushpalatha, D. V., & Nayak, P. (2015). A clustering algorithm for WSN to optimize the network lifetime using type-2 fuzzy logic model. In 2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS) (pp. 53-58). IEEE Publishing. https://doi.org/10.1109/AIMS.2015.19

• Sengar, C. S., Venugopal, K. R., Iyengar, S. S., & Patnaik, L. M. (2016). RRDVCR: Real-time reliable data delivery based on virtual coordinating routing for Wireless Sensor Networks. In 2016 2nd IEEE International Conference on Computer and Communications (ICCC) (pp. 2227-2234). IEEE Publishing. https://doi.org/10.1109/CompComm.2016.7925096

• Shangyang, H., Jianjian, W., & Zexuan, S. (2018). An improved wireless sensor network for natural gas monitoring. In 2018 Chinese Automation Congress (CAC) (pp. 2542-2547). IEEE Publishing. https://doi.org/10.1109/CAC.2018.8623622

• Sun, B., Ma, C., Jin, X., & Ma, Z. (2016). Data aggregation scheme based on compressive sensing in wireless sensor network. In 2016 9th International Symposium on Computational Intelligence and Design (ISCID) (pp. 453-456). IEEE Publishing. https://doi.org/10.1109/ISCID.2016.2112

• Sun, X., Yu, J., & Song, T. (2016). Data aggregation scheduling in wireless sensor networks under SINR. In 2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI) (pp. 202-207). IEEE Publishing. https://doi.org/10.1109/IIKI.2016.66

• Yan, A., & Wang, B. (2017). An adaptive WSN clustering scheme based on neighborhood energy level. In 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC) (pp. 1170-1173). IEEE Publishing. https://doi.org/10.1109/ITOEC.2017.8122540