• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2023, Volume: 16, Issue: 34, Pages: 2753-2766

Original Article

Energy Aware Adaptive Sleep Scheduling and Secured Data Transmission Protocol to enhance QoS in IoT Networks using Improvised Firefly Bio-Inspired Algorithm (EAP-IFBA)

Received Date:09 July 2023, Accepted Date:01 August 2023, Published Date:15 September 2023


Objectives: To propose a suitable bio-inspired algorithm for energy-aware adaptive sleep scheduling and secured data transmission in IoT networks. Machine learning with bio-inspired technique is employed to schedule sleep periods for sensor nodes to maximize the lifetime of the IoT network, minimize energy consumption, and ensure robust data security during attacks. Methods: Improvised Firefly Bio-Inspired Algorithm (IFBA) is employed for adaptive sleep scheduling, and Dynamic Key Distribution Management (DKDM) with the elliptic curve method is used for secured and reliable data transmission between sensor nodes. Enhanced Recurrent Neural Networks (ERNN) with the N-Key method is deployed to identify the abnormal patterns associated with attacks and topology changes. Mean Square Error Data Recovery (MSEDR) is utilized to evaluate the error in data recovery, and Q-Learning Technique (QLT) with action sets is used to identify the finest path to ensure fast transmission of data. OMNETC++ simulator software is used to evaluate the performance of the proposed EAP-IFBA IoT network protocol with baseline protocols such as IWD-ARP, ECC-ILEACH, and RLSSACDGP. Findings: The proposed EAP-IBFA sleep scheduling and secured data transmission algorithm outperforms the prevailing methods IWD-ARP, ECCILEACH, and RLSSA-CDGP with an energy depletion rate of 8%, 97.5% alive nodes, 98% network life span in an IoT environment, 97.6% data transmission speed, 98% quick sleep scheduling, and 96.5% robustness to attacks. Novelty: The comprehensive solution of EAP-IFBA enhances QoS in IoT sensor networks. The proven results show that the proposed novel sleep scheduling and secureddata transmission algorithm has the ability to address the challenges of prevailing methods IWD-ARP, ECC-ILEACH, and RLSSA-CDGP in terms of energy consumption, data security, and dynamic sensing of topology changes for efficient and reliable IoT deployments.

Keywords: Energy Efficiency; IoT Networks; Sleep Scheduling; Secured Data Transmission; Machine Learning; Bio-Inspired Algorithm; Quality of Service


  1. Sharma N, Singh BM, Singh KM. QoS-based energy-efficient protocols for wireless sensor network. Sustainable Computing: Informatics and Systems. 2021;30:100425. Available from: https://doi.org/10.1016/j.suscom.2020.100425
  2. Orfanos VA, Kaminaris SD, Papageorgas P, Piromalis D, Kandris D. A Comprehensive Review of IoT Networking Technologies for Smart Home Automation Applications. Journal of Sensor and Actuator Networks. 2023;12(2):30. Available from: https://doi.org/10.3390/jsan12020030
  3. Wang X, Chen H, Li S. A reinforcement learning-based sleep scheduling algorithm for compressive data gathering in wireless sensor networks. EURASIP Journal on Wireless Communications and Networking. 2023;(1) 28. Available from: https://doi.org/10.1186/s13638-023-02237-4
  4. Rishiwal V, Yadav P, Singh O, Prasad BG. Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks. International Journal of System Dynamics Applications. 2021;10(4):1–20. Available from: http://doi.org/10.4018/IJSDA.20211001.oa21
  5. Wan R, Xiong N, Loc NT. An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks. Human-centric Computing and Information Sciences. 2018;8(1). Available from: https://doi.org/10.1186/s13673-018-0141-x
  6. Thomas D, Shankaran R, Sheng QZ, Orgun MA, Hitchens M, Masud M, et al. QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications. IEEE Access. 2021;9:3065–3096. Available from: https://doi.org/10.1109/ACCESS.2020.3046619
  7. Sakib AN, Drieberg M, Sarang S, Aziz AA, Hang NTT, Stojanović GM. Energy-Aware QoS MAC Protocol Based on Prioritized-Data and Multi-Hop Routing for Wireless Sensor Networks. Sensors. 2023;22(7):2598. Available from: https://doi.org/10.3390/s22072598
  8. Panahi U, Bayılmış C. Enabling secure data transmission for wireless sensor networks based IoT applications. Ain Shams Engineering Journal. 2023;14(2):101866. Available from: https:/doi.org/10.1016/j.asej.2022.101866
  9. Nithyanandh S, Jaiganesh V. Dynamic Link Failure Detection using Robust Virus Swarm Routing Protocol in Wireless Sensor Network. International Journal of Recent Technology and Engineering. 2020;(2) 1574–1578. Available from: https://doi.org/10.35940/ijrte.b2271.078219
  10. Panahi P, Bayılmış C, Çavuşoğlu U, Kaçar S. Performance Evaluation of Lightweight Encryption Algorithms for IoT-Based Applications. Arabian Journal for Science and Engineering. 2021;46(4):4015–4037. Available from: https://doi.org/10.1007/s13369-021-05358-4
  11. Velmurugadass P, Dhanasekaran S, Anand SS, Vasudevan V. Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks. Transactions on Emerging Telecommunications Technologies. 2023;34(1). Available from: https://doi.org/10.1002/ett.4664
  12. Ramesh S, Yaashuwanth C. Enhanced approach using trust based decision making for secured wireless streaming video sensor networks. Multimedia Tools and Applications. 2020;79(15-16):10157–10176. Available from: https://doi.org/10.1007/s11042-019-7585-5
  13. Kalpana D, Ajitha P. An Implementation of Energy Efficient Secured Routing Framework in WSN by Honey Badger Algorithm. 2022 International Conference on Industry 4.0 Technology (I4Tech). 2022;2022:1–6. Available from: https://doi.org/10.1109/I4Tech55392.2022.9952953
  14. Singh S, Nandan AS, Sikka G, Malik A, Vidyarthi A. A secure energy-efficient routing protocol for disease data transmission using IoMT. Computers and Electrical Engineering. 2022;101:108113. Available from: https://doi.org/10.1016/j.compeleceng.2022.108113
  15. Nithyanandh S, Jaiganesh V. Reconnaissance Artificial Bee Colony Routing Protocol to Detect Dynamic Link Failure in Wireless Sensor Network. International Journal of Scientific & Technology Research. 2020;(10) 3244–3251. Available from: https://doi.org/10.35940/ijstr.b2271.0986231
  16. Nagaraja GS, Vanishree K, Azam F. Novel Framework for Secure Data Aggregation in Precision Agriculture with Extensive Energy Efficiency. Journal of Computer Networks and Communications. 2023;2023:1–11. Available from: https://doi.org/10.1155/2023/5926294
  17. Sharmila, Kumar P, Bhushan S, Kumar M, Alazab M. Secure Key Management and Mutual Authentication Protocol for Wireless Sensor Network by Linking Edge Devices using Hybrid Approach. Wireless Personal Communications. 2023;130(4):2935–2957. Available from: https://doi.org/10.1007/s11277-023-10410-7
  18. Shahraki A, Taherkordi A, Haugen O, Eliassen F. A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms. IEEE Transactions on Network and Service Management. 2021;18(2):2242–2274. Available from: https://doi.org/10.1109/TNSM.2020.3035315
  19. Dhaliwal BK, Rattan K, Datta. Secure and Energy Efficient Trust Aware Routing Protocol in IoT using the Optimized Artificial Neural Network: SEETA-IoT. International Journal of Engineering and Advanced Technology (IJEAT). 2019;8(6):4341–4353. Available from: http://www.doi.org/10.35940/ijeat.F8928.088619


© 2023 Nithyanandh et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)


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