6LoWPAN in Wireless Sensor Network with IoT in 5G Technology for Network Secure Routing and Energy Efficiency
Main Article Content
Today, interconnection and routing protocols must discover the best solution for secure data transformation with a variety of smart devices due to the growing influence of information technology, such as Internet of Things (IoT), in human life. In order to handle routing concerns with regard to new interconnection approaches like the 6LoWPAN protocol, it is required to offer an improved solution. This research propose novel technique in 6LoWPAN network secure routing and energy efficiency (EE) for WSN in IoT application based on 5G technology. Here the energy optimization has been carried out using clustered channel aware least square support vector machine (Cl_CHLSSVM). Then the secure routing has been carried out using fuzzy based Routing Protocol for low-power and Lossy Networks with kernel-particle swarm optimization (Fuz_RPL_KPSO). To serve needs of IoT applications, proposed method is cognizant of both node priorities as well as application priorities. Applications' sending rate allocation is modeled as a constrained optimization issue.Pxperimental analysis is carried out in terms of throughput of 96%, weighted fairness index of 77%, end-to-end delay of 59%, energy consumption of 86%, and buffer dropped packets of 51%.
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Han, B., Ran, F., Li, J., Yan, L., Shen, H., & Li, A. (2022). A Novel Adaptive Cluster Based Routing Protocol for Energy-Harvesting Wireless Sensor Networks. Sensors, 22(4), 1564.
Qureshi, K. N., Bashir, M. U., Lloret, J., & Leon, A. (2020). Optimized cluster-based dynamic energy-aware routing protocol for wireless sensor networks in agriculture precision. Journal of sensors, 2020.
Faheem, M., Butt, R. A., Raza, B., Alquhayz, H., Ashraf, M. W., Shah, S. B., ... &Gungor, V. C. (2019). QoSRP: A cross-layer QoS channel-aware routing protocol for the Internet of underwater acoustic sensor networks. Sensors, 19(21), 4762.
Das, S., Abraham, A., &Konar, A. (2008). Automatic kernel clustering with a multi-elitist particle swarm optimization algorithm. Pattern recognition letters, 29(5), 688-699.
Khashan, O. A., Ahmad, R., &Khafajah, N. M. (2021). An automated lightweight encryption scheme for secure and energy-efficient communication in wireless sensor networks. Ad Hoc Networks, 115, 102448.
Kumar, M., Mukherjee, P., Verma, K., Verma, S., & Rawat, D. B. (2021). Improved deep convolutional neural network based malicious node detection and energy-efficient data transmission in wireless sensor networks. IEEE Transactions on Network Science and Engineering.
Nagaraju, R., Goyal, S. B., Verma, C., Safirescu, C. O., &Mihaltan, T. C. (2022). Secure Routing-Based Energy Optimization for IoT Application with Heterogeneous Wireless Sensor Networks. Energies, 15(13), 4777.
Toma, D. M., del Rio, J., &Mànuel, A. Research Article Wireless HDLC Protocol for Energy-Efficient Large-Scale Linear Wireless Sensor Networks.
Li, S., Kim, K. S., Zhang, L., Huan, X., & Smith, J. (2022). Energy-Efficient Message Bundling with Delay and Synchronization Constraints in Wireless Sensor Networks. Sensors, 22(14), 5276.
Bettoumi, B., &Bouallegue, R. (2021). LC-DEX: Lightweight and efficient compressed authentication based elliptic curve cryptography in multi-hop 6lowpan wireless sensor networks in HIP-based Internet of things. Sensors, 21(21), 7348.
Nashiruddin, A. H. N., &Rakhmawati, L. (2022). Literature Review: Energy Efficiency Mechanisms using Data Reduction in Wireless Sensor Networks (WSNs) Applications. INAJEEE (Indonesian Journal of Electrical and Electronics Engineering), 5(1), 5-13.
Shreyas, J., Deepa, H., Udayaprasad, P. K., Chouhon, D., Srinidhi, N. N., & SM, D. K. (2022, January). Energy Optimization to Extend Network Lifetime for IoT based Wireless Sensor Networks. In 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 90-93). IEEE.
Sharma, S., & Verma, V. K. (2022). An integrated exploration on internet of things and wireless sensor networks. Wireless Personal Communications, 124(3), 2735-2770.
Li, Y., Li, J., & Huang, X. (2021, December). An Energy Efficiency Evaluation Scheme of IPHC over CSMA and TSCH in 6LoWPAN Networks. In 2021 The 10th International Conference on Networks, Communication and Computing (pp. 135-140).
Wagle, S. K., Bazilraj, A. A., & Ray, K. P. (2021, September). Energy efficient security solution for attacks on Wireless Sensor Networks. In 2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS) (pp. 313-318). IEEE.
Idrees, A. K., &Witwit, A. J. (2021). Energy-efficient load-balanced RPL routing protocol for internet of things networks. International Journal of Internet Technology and Secured Transactions, 11(3), 286-306.
Gupta, S. K., & Singh, S. (2022). Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies. International Journal of Communication Systems, e5194.
Ali, O. M. E. R., & Ishak, M. K. (2021). Energy efficient scheme for wireless sensor networks based on contikimac protocol. J. Eng. Sci. Technol.(JESTEC), 16, 4666-4686.
Patra, B. K., Mishra, S., & Patra, S. K. (2022). Genetic Algorithm-Based Energy-Efficient Clustering with Adaptive Grey Wolf Optimization-Based Multipath Routing in Wireless Sensor Network to Increase Network Life Time. In Intelligent Systems (pp. 499-512). Springer, Singapore.
Sharma, P. K., Singh, J., & Pal, V. (2021). Low power communication in wireless sensor networks and IoT. In Smart Sensor Networks Using AI for Industry 4.0 (pp. 221-233). CRC Press.