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Hybrid Approach for Maximizing Data Survival and Minimizing Energy Consumption in Unattended Wireless Sensor Networks
Nischaykumar Hegde, H. Manoj T. Gadiyar and Jagadisha N

Numerous commercial and military applications, such as offshore operations in distant places, make use of UnattendedWireless Sensor Networks, or UWSNs. In the field of UWSN, yet, there are significant concerns about data survival, energy usage, and the transfer of sensitive data. The study suggests a hybrid model of an adaptive energy-optimized data encryption algorithm that combines adaptive data encryption with an adaptive energy- optimized algorithm to deal with the immediate problems of data durability and utilization of energy. To improve the efficiency of data processing and evaluation, sensor nodes must undergo a procedure of standardization and collection of data. Every SN continuously checks its energy level and uses a dynamic encryption technique that is adjusted to the energy limits to encrypt the standard data. Data are processed as well as encrypted based on the energy extent of sensor nodes utilizing a dynamic encryption technique. By avoiding premature battery depletion, it reduces energy consumption and improves data survival. To protect confidentiality and data durability, encrypted data are sent to the cluster head for signature and verification. For decryption, it is further designed and sent to the base station. Theoretical analysis and simulated environment experimentation demonstrate that the suggested approach may infer UWSN energy consumption and data durability.

Keywords: Data survivability, Energy consumption, UWSNs, adaptive encryption.