Journal of Intelligent Systems and Internet of Things

Journal DOI

https://doi.org/10.54216/JISIoT

Submit Your Paper

2690-6791ISSN (Online) 2769-786XISSN (Print)

Volume 14 , Issue 1 , PP: 221-229, 2025 | Cite this article as | XML | Html | PDF | Full Length Article

Efficient Routing and Lifetime Prolongation in IoT founded Wireless Sensor Network Performance with Bee Colony-Inspired Lifetime Enhancement

Megha Gupta 1 , Sunil Kr Pandey 2 , Piyush Kumar Pareek 3 * , Prashant Kumar Shukla 4 , Puneet Kumar Aggarwal 5 , P. Venkateswarlu Reddy 6

  • 1 Assistant Professor, Department Computer Science & Engineering, Dr Akhilesh Das Gupta Institute of Professional Studies, New Delhi, India - (megha.gupta@adgitmdelhi.ac.in)
  • 2 Professor, Department of Information Technology, Institute of Technology & Science, Ghaziabad, Uttar Pradesh, India - (sunilpandey@ite.edu.in)
  • 3 Professor and Head Department of AIML and IPR Cell Nitte Meenakshi Institute of Technology Bengaluru, India - (piyush.kumar@nmit.ac.in)
  • 4 Associate Professor (Research) Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur - 522302, Andhra Pradesh, India - (prashantshukla2005@gmail.com)
  • 5 Associate Professor, Department of Information Technology, ABES ENGINEERING COLLEGE, Ghaziabad, Uttar Pradesh, India - (puneet.aggarwal@abes.ac.in)
  • 6 Assistant Professor of CSE, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College(Autonomous), Tirupati, Andhra Pradesh , India - (venkateswarlucse@gmail.com)
  • Doi: https://doi.org/10.54216/JISIoT.140117

    Received: February 21, 2024 Revised: April 30, 2024 Accepted: July 22, 2024
    Abstract

    To extend the lifespan of Wireless Sensor Networks (WSNs), effective routing protocols are required to provide communication channels between the sources and sink. While nodes are arbitrarily distributed in a substantially unsafe situation, these steering protocols are susceptible to an extensive range of assaults. For WSNs, trust-based routing protocols are created, which employ a trusted route rather than the quickest path, to prevent these attacks. The artificial bee colony-based clustering technique is utilized because the conventional clustering algorithm reduces the energy usage of nodes. This allows it to increase the lifespan of the sensor network by evenly dividing energy use among all nodes. The artificial bee colony (ABC)-based grouping method was developed because the typical grouping technique minimizes the energy usage of nodes. By integrating diverse sensors and devices, Internet of Things (IoT) enhances the performance of WSN, by enabling efficient data collection, analysis, and communication. The creation of such traditional protocols does not guarantee the best global optimization for the lengthening of WSN life. Through simulation analysis, the suggested Artificial Bee Algorithm (ABC)-based Traffic-Aware Energy Efficient Routing (TEER) protocol's performance was evaluated and contrasted with the TEER protocols. The ABC-based TEER protocol's lifetime analysis, active node analysis is achieved and contrasted with those of other protocols. In terms of the number of rounds, the network performance for the ABC-based TEER scheme performs better than the TEER schemes. The Analysis of throughput of the ABC-TEER method, which reveals a 9.5% increase in performance in comparison to the TEER protocol.

    Keywords :

    WSN , TEER , ABC , IoT , ABC-TEER

    References

    [1]       O. Kaiwartya, A. H. Abdullah, Y. Cao et al., “Virtualization in wireless sensor networks: fault tolerant embedding for Internet of things,” IEEE Internet of Things Journal, vol. 5, no. 2, pp. 571–580, 2018.

    [2]       P. K. Shukla et al., “Network Physical Address Based Encryption Technique Using Digital Logic”, International Journal of Scientific & Technology Research, Vol. 9, No. 4, 2020, Pp no.- 3119-3122.

    [3]       O. Kaiwartya, A. H. Abdullah, Y. Cao, et al., “Internet of vehicles: motivation, layered architecture, network model, challenges, and future aspects,” IEEE Access, vol. 4, pp. 5356–5373, 2016.

    [4]       V. Roy. "An Improved Image Encryption Consuming Fusion Transmutation and Edge Operator." Journal of Cybersecurity and Information Management, Vol. 8, No. 1, 2021, PP. 42-52.

    [5]       L. Farhan, R. Kharel, O. Kaiwartya, M. Hammoudeh, and B. Adebisi, “Towards green computing for Internet of things: energy-oriented path and message scheduling approach,” Sustainable Cities and Society, vol. 38, pp. 195–204, 2018.

    [6]       V. Roy. " Breast cancer Classification with Multi-Fusion Technique and Correlation Analysis" Fusion: Practice & Applications, Vol. 9, No. 2, 2023, PP. 48-61.

    [7]       Roy, V., Shukla, P. K., Gupta, A. K., Goel, V., Shukla, P. K., & Shukla, S. (2021). Taxonomy on EEG Artifacts Removal Methods, Issues, and Healthcare Applications. Journal of Organizational and End User Computing (JOEUC), 33(1), 19-46. http://doi.org/10.4018/JOEUC.2021010102.

    [8]       O. Kaiwartya, A. H. Abdullah, Y. Cao et al., “Internet of vehicles: motivation, layered architecture, network model, challenges, and future aspects,” IEEE Access, vol. 4, pp. 5356–5373, 2016.

    [9]       A. Khatri, S. Kumar, O. Kaiwartya, and A. H. Abdullah, “Green computing for wireless sensor networks: optimization and Huffman coding approach,” Peer-to-Peer Networking and Applications, vol. 10, no. 3, pp. 592–609, 2017.

    [10]    P. Kumar, A. Baliyan, K. R. Prasad, N. Sreekanth, P. Jawarkar, V. Roy, E. T. Amoatey, "Machine Learning Enabled Techniques for Protecting Wireless Sensor Networks by Estimating Attack Prevalence and Device Deployment Strategy for 5G Networks", Wireless Communications and Mobile Computing, vol. 2022, Article ID 5713092, 15 pages, 2022. https://doi.org/10.1155/2022/5713092

    [11]    Saranya, V., Shankar, S., & Kanagachidambaresan, G. R. (2018). Energy efficient clustering scheme (EECS) for wireless sensor network with mobile sink. Wireless Personal Communications, 100(4), 1553–1567. https://doi.org/10.1007/s11277-018-5653-1

    [12]    Roy, S., Mazumdar, N., & Pamula, R. (2021). An energy and coverage sensitive approach to hierarchical data collection for mobile sink-based wireless sensor networks. Journal of Ambient Intelligence and Humanized Computing, 12(1), 1267–1291.

    [13]    Nabil M. AbdelAziz,Hassan H. Mohammed,Khalid A. Eldrandaly, An effective Decision making model through Fusion Optimization and risk associated with flash flood hazards: A case study Asyut, Egypt, Journal of Fusion: Practice and Applications, Vol. 12 , No. 1 , (2023) : 64-94 (Doi   :  https://doi.org/10.54216/FPA.120105)

    [14]    Yalcin, S., & Erdem, E. (2019). Bacteria interactive cost and balanced-compromised approach to clustering and transmission boundary-range cognitive routing in mobile heterogeneous wireless sensor networks. Sensors. https://doi.org/10.3390/s19040867

    [15]    Fotohi, R., & Bari, S. F. (2020). A novel countermeasure technique to protect WSN against denial-of-sleep attacks using Firefly and Hopfield neural network (HNN) algorithms. Journal of Supercomputing, 76(6), 6860–6886. https://doi.org/10.1007/s11227-019-03131-x

    [16]    Sharmin, N., Karmaker, A., Lambert, W. L., Alam, M. S., & Shawkat, M. S. T. S. A. (2020). Minimizing the energy hole problem in wireless sensor networks: A Wedge Merging Approach. Sensors.

    [17]    Zahra, M., Wang, Y., & Ding, W. J. (2019). Cross-layer routing for a mobility support protocol based on handover mechanism in cluster-based wireless sensor networks with mobile sink. Sensors.

    [18]    Basumatary, H., Debnath, A., Barma, M. K. D., & Bhattacharyya, B. K. (2020). Centroid-based routing protocol with moving sink node for uniform and non-uniform distribution of wireless sensor nodes. Journal of Supercomputing, 77(4), 3727–3751.

    [19]    Zhang, J., Tang, J., Wang, Z. H., Wang, F., & Yu, G. (2020). Load-balancing rendezvous approach for mobility-enabled adaptive energy-efficient data collection in WSNs. KSII Transactions on Internet and Information Systems, 14(3), 1204–1227.

    [20]    Theodorou, T., & Mamatas, L. (2021). SD-MIoT: A software-defined networking solution for mobile internet of things. IEEE Internet Things, 8(6), 4604–4617.

    [21]    Maruthupandi, J., Prasanna, S., Jayalakshmi, P., Mareeswari, V., Kumar, B. S., & Sanjeevi, P. (2021). Route manipulation aware software-defined networks for effective routing in SDN controlled MANET by Disney routing protocol. Microprocessors and Microsystems.

    [22]    Guo, W. J., Yan, C. R., & Lu, T. (2019). Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing. International Journal of Distributed Sensor Networks.

    [23]    Alghamdi, T. A. (2020). Energy efficient protocol in wireless sensor network: Optimized cluster head selection model. Telecommunication Systems, 74(3), 331–345. https://doi.org/10.1007/s11235-020-00659-9

    [24]    Balamurugan, A., Priya, M. D., Janakiraman, S., & Malar, A. C. J. (2021). Hybrid stochastic ranking and opposite differential evolution-based enhanced Firefly Optimization Algorithm for extending network lifetime through efficient clustering in WSNs. Journal of Network and Systems Management, 29(3), 1–31.

    [25]    Baradaran, A. A., & Navi, K. (2020). HQCA-WSN: High-quality clustering algorithm and optimal cluster head selection using fuzzy logic in wireless sensor networks. Fuzzy Sets and Systems, 389(1), 114–144.

    [26]    Mohd Zainal Abidin Ab Kadir , Mhmed Algrnaodi , Ahmed N. Al-Masri, Optimal Algorithm for Shared Network Communication Bandwidth in IoT Applications, International Journal of Wireless and Ad Hoc Communication, Vol. 2 , No. 1 , (2021) : 33-48 (Doi   :  https://doi.org/10.54216/IJWAC.020103)

    [27]    Muhammad Edmerdash, Waleed khedr, Ehab Rushdy, An Overview of Cloud-Based Secure Services for Enterprise Drug–Drug Interaction Systems, International Journal of Wireless and Ad Hoc Communication, Vol. 2 , No. 2 , (2021) : 49-58 (Doi   :  https://doi.org/10.54216/IJWAC.020201)

    [28]    Andino Maseleno, Design of Optimal Machine Learning based Cybersecurity Intrusion Detection Systems, Journal of Cybersecurity and Information Management, Vol. 0 , No. 1 , (2019) : 32-43 (Doi   :  https://doi.org/10.54216/JCIM.000103).

    [29]    Ahmed Abdelhafeez, Hoda K. Mohamed,  Skin Cancer Detection using Neutrosophic c-means and Fuzzy c-means Clustering Algorithms,  Journal of Intelligent Systems and Internet of Things,  Vol. 8 ,  No. 1 ,  (2023) : 33-42 (Doi   :  https://doi.org/10.54216/JISIoT.080103)

    [30]    Lobna Osman, Olutosin Taiwo, Ahmed Elashry, Absalom E. Ezugwu, Intelligent Edge Computing for IoT: Enhancing Security and Privacy, Journal of Intelligent Systems and Internet of Things, Vol. 8, No. 1, (2023): 55-65 (Doi :  https://doi.org/10.54216/JISIoT.080105)

    Cite This Article As :
    Gupta, Megha. , Kr, Sunil. , Kumar, Piyush. , Kumar, Prashant. , Kumar, Puneet. , Venkateswarlu, P.. Efficient Routing and Lifetime Prolongation in IoT founded Wireless Sensor Network Performance with Bee Colony-Inspired Lifetime Enhancement. Journal of Intelligent Systems and Internet of Things, vol. , no. , 2025, pp. 221-229. DOI: https://doi.org/10.54216/JISIoT.140117
    Gupta, M. Kr, S. Kumar, P. Kumar, P. Kumar, P. Venkateswarlu, P. (2025). Efficient Routing and Lifetime Prolongation in IoT founded Wireless Sensor Network Performance with Bee Colony-Inspired Lifetime Enhancement. Journal of Intelligent Systems and Internet of Things, (), 221-229. DOI: https://doi.org/10.54216/JISIoT.140117
    Gupta, Megha. Kr, Sunil. Kumar, Piyush. Kumar, Prashant. Kumar, Puneet. Venkateswarlu, P.. Efficient Routing and Lifetime Prolongation in IoT founded Wireless Sensor Network Performance with Bee Colony-Inspired Lifetime Enhancement. Journal of Intelligent Systems and Internet of Things , no. (2025): 221-229. DOI: https://doi.org/10.54216/JISIoT.140117
    Gupta, M. , Kr, S. , Kumar, P. , Kumar, P. , Kumar, P. , Venkateswarlu, P. (2025) . Efficient Routing and Lifetime Prolongation in IoT founded Wireless Sensor Network Performance with Bee Colony-Inspired Lifetime Enhancement. Journal of Intelligent Systems and Internet of Things , () , 221-229 . DOI: https://doi.org/10.54216/JISIoT.140117
    Gupta M. , Kr S. , Kumar P. , Kumar P. , Kumar P. , Venkateswarlu P. [2025]. Efficient Routing and Lifetime Prolongation in IoT founded Wireless Sensor Network Performance with Bee Colony-Inspired Lifetime Enhancement. Journal of Intelligent Systems and Internet of Things. (): 221-229. DOI: https://doi.org/10.54216/JISIoT.140117
    Gupta, M. Kr, S. Kumar, P. Kumar, P. Kumar, P. Venkateswarlu, P. "Efficient Routing and Lifetime Prolongation in IoT founded Wireless Sensor Network Performance with Bee Colony-Inspired Lifetime Enhancement," Journal of Intelligent Systems and Internet of Things, vol. , no. , pp. 221-229, 2025. DOI: https://doi.org/10.54216/JISIoT.140117