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Advanced ANN Based Secured Energy Efficient Routing Protocol in WSN

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Abstract

Wireless Sensor Networks (WSNs) have been broadly utilized in numerous areas such as battlefield surveillance, defense and military affairs, and so forth. Reliable data exchange between sensor nodes and efficient data transmission to the collecting station i.e. base station is a vital issue in WSN. Secured routing will play a key role to overcome these issues. The most important initiative behind this research is to convert the energy-aware routing protocol into reactive energy aware secure protocol of routing for detection of fail/malicious sensor nodes. Efficient clustering is the first step; here advanced Low-Energy Adaptive Clustering Hierarchy (LEACH) is used for efficient cluster head (CH) selection based on initial energy, residual energy and distance to the base station. Further an optimized routing protocol based on grasshopper optimization algorithm (GOA) is used to make shortest path low energy consumption transmission. At last classification of nodes is done as normal or malicious node using artificial neural network and malicious nodes present in the route are discarded. In this way proposed Optimized Artificial Neural Network (ANN) based Energy Aware Trusted and Secure routing algorithm (OANN-EATSRA) achieves a secure energy efficient shortest path for data transmission which enhances the networks performance. Results are analyzed for the protocols after implementation. Simulation results show that the proposed algorithm has increased packet receiving rate, detection rate and decreased delay and energy consumption than other routing protocols in existence.

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Sharma, A., Kansal, A. Advanced ANN Based Secured Energy Efficient Routing Protocol in WSN. Wireless Pers Commun 132, 2645–2666 (2023). https://doi.org/10.1007/s11277-023-10737-1

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