Data survivability in unattended wireless sensor networks with optimal clustering and hybrid encryption algorithm
by Nischay Kumar Hegde; Linganagouda Kulkarni
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 26, No. 2, 2024

Abstract: This research proposes an energy- and security-aware data survivability solution for Unattended Wireless Sensor Networks operating in hostile environments. The multi-objectives like energy consumption, delay, distance, communication overhead, inter-cluster distance, and intra-cluster-distance, are taken into consideration. The projected hybrid optimisation approach is referred to as Aquila Updated Candidate Selection Optimiser. To solve this issue, a novel hybrid cryptographic model denoted as Two-Fold Advanced Triple Data Encryption Standard (TF-A3DES) is developed. The TF-A3DES is developed by hybridising the concepts of the 'Triple Data Encryption Standard (triple DES) algorithm and Advanced Encryption Standard'. As per the recorded outcomes, the projected model has utilised the lowest energy (5.015 µJ), which is better than AHE = 5.9 µJ, CHTP = 5.5 µJ, SAPDA = 6.2 µJ, BDLA = 5.98 µJ, AO = 6.0 µJ, EBOA = 6.15 µJ, BOA = 6.2 µJ and MFO = 6.25 µJ. Thus, the projected model is said to be much more applicable for secure data transmission.

Online publication date: Mon, 04-Mar-2024

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