Energy Efficient Large-Size Data Block Transmission in VANETs using SD-Kmeans and Th-ANFIS
| International Journal of Electronics and Communication Engineering |
| © 2023 by SSRG - IJECE Journal |
| Volume 10 Issue 8 |
| Year of Publication : 2023 |
| Authors : Pullanatt Anuranj, A. Anitha |
10.14445/23488549/IJECE-V10I8P110
How to Cite?
Pullanatt Anuranj, A. Anitha, "Energy Efficient Large-Size Data Block Transmission in VANETs using SD-Kmeans and Th-ANFIS," SSRG International Journal of Electronics and Communication Engineering, vol. 10, no. 8, pp. 98-107, 2023. Crossref, https://doi.org/10.14445/23488549/IJECE-V10I8P110
Abstract:
Traditional routing-layer-based systems use a substantial percentage of routing pathways to enhance the data link length in a VANET by changing routing paths often while transferring a massive data block, resulting in frequent communication link separation and reconnection. This paper presents a new method for transmitting huge data blocks. Initially, the Swap Displacement and Reversion Fertile Field Algorithm (SDR-FFA) was presented to improve the clustering performance on cluster head selection, where the clusters are formed through the Supremum distance technique in the Kmeans algorithm. Consequently, the optimal relay node will be selected using Linear Scaling based Red Colobuses Monkey, and efficient features will be selected to improve optimal path discovery using the Threshold based Adaptive Neuro-Fuzzy Inference System (Th-ANFIS) algorithm. Finally, the data file blocks are split and then encoded through the Base64 algorithm to reduce the transmission time. The results show that the proposed system performed well, and the results are compared with several existing techniques.
Keywords:
VANET, Clustering, Large-size data block, Transmission, Optimisation, ANFIS, Base64.
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