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Secure Routing-Based Energy Optimization for IoT Application with Heterogeneous Wireless Sensor Networks

Author

Listed:
  • Regonda Nagaraju

    (Department of Information Technology, St. Martin’s Engineering College, Dhulapally, Secunderabad 500100, India)

  • Venkatesan C

    (Department of Electronics and Communication Engineering, HKBK College of Engineering, Bengaluru 560045, India)

  • Kalaivani J

    (Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India)

  • Manju G

    (Department of CSE, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India)

  • S. B. Goyal

    (Faculty of Information Technology, City University, Petaling Jaya 46100, Malaysia)

  • Chaman Verma

    (Department of Media and Educational Informatics, Faculty of Informatics, Eotvos Lorand University, 1053 Budapest, Hungary)

  • Calin Ovidiu Safirescu

    (Environment Protection Department, Faculty of Agriculture, University of Agriculture Sciences and Veterrnary Medicine Cluj-Napoca, Calea Manastur No. 3–5, 40033 Cluj-Napoca, Romania)

  • Traian Candin Mihaltan

    (Faculty of Building Services, Technical University of Cluj-Napoca, 40033 Cluj-Napoca, Romania)

Abstract

Wireless sensor networks (WSNs) and the Internet of Things (IoT) are increasingly making an impact in a wide range of domain-specific applications. In IoT-integrated WSNs, nodes generally function with limited battery units and, hence, energy efficiency is considered as the main design challenge. For homogeneous WSNs, several routing techniques based on clusters are available, but only a few of them are focused on energy-efficient heterogeneous WSNs (HWSNs). However, security provisioning in end-to-end communication is the main design challenge in HWSNs. This research work presents an energy optimizing secure routing scheme for IoT application in heterogeneous WSNs. In our proposed scheme, secure routing is established for confidential data of the IoT through sensor nodes with heterogeneous energy using the multipath link routing protocol (MLRP). After establishing the secure routing, the energy and network lifetime is improved using the hybrid-based TEEN (H-TEEN) protocol, which also has load balancing capacity. Furthermore, the data storage capacity is improved using the ubiquitous data storage protocol (U-DSP). This routing protocol has been implemented and compared with two other existing routing protocols, and it shows an improvement in performance parameters such as throughput, energy efficiency, end-to-end delay, network lifetime and data storage capacity.

Suggested Citation

  • Regonda Nagaraju & Venkatesan C & Kalaivani J & Manju G & S. B. Goyal & Chaman Verma & Calin Ovidiu Safirescu & Traian Candin Mihaltan, 2022. "Secure Routing-Based Energy Optimization for IoT Application with Heterogeneous Wireless Sensor Networks," Energies, MDPI, vol. 15(13), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4777-:d:851447
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    References listed on IDEAS

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    1. Mudassir Khan & A. Ilavendhan & C. Nelson Kennedy Babu & Vishal Jain & S. B. Goyal & Chaman Verma & Calin Ovidiu Safirescu & Traian Candin Mihaltan, 2022. "Clustering Based Optimal Cluster Head Selection Using Bio-Inspired Neural Network in Energy Optimization of 6LowPAN," Energies, MDPI, vol. 15(13), pages 1-14, June.
    2. Anand Singh Rajawat & Pradeep Bedi & S. B. Goyal & Piyush Kumar Shukla & Sajjad Shaukat Jamal & Adel R. Alharbi & Amer Aljaedi, 2021. "Securing 5G-IoT Device Connectivity and Coverage Using Boltzmann Machine Keys Generation," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-10, October.
    3. Khalid Haseeb & Ahmad Almogren & Naveed Islam & Ikram Ud Din & Zahoor Jan, 2019. "An Energy-Efficient and Secure Routing Protocol for Intrusion Avoidance in IoT-Based WSN," Energies, MDPI, vol. 12(21), pages 1-18, November.
    4. Anand Singh Rajawat & Pradeep Bedi & S. B. Goyal & Adel R. Alharbi & Amer Aljaedi & Sajjad Shaukat Jamal & Piyush Kumar Shukla, 2021. "Fog Big Data Analysis for IoT Sensor Application Using Fusion Deep Learning," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-16, October.
    5. Kirshna Kumar & Sushil Kumar & Omprakash Kaiwartya & Yue Cao & Jaime Lloret & Nauman Aslam, 2017. "Cross-Layer Energy Optimization for IoT Environments: Technical Advances and Opportunities," Energies, MDPI, vol. 10(12), pages 1-40, December.
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    Cited by:

    1. Shaha Al-Otaibi & Venkatesan Cherappa & Thamaraimanalan Thangarajan & Ramalingam Shanmugam & Prithiviraj Ananth & Sivaramakrishnan Arulswamy, 2023. "Hybrid K-Medoids with Energy-Efficient Sunflower Optimization Algorithm for Wireless Sensor Networks," Sustainability, MDPI, vol. 15(7), pages 1-16, March.

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