Secured Route Selection Using E-ACO in Underwater Wireless Sensor Networks

Underwater wireless sensor networks (UWSNs) are promising, emerging technologies for the applications in oceanic research. UWSN contains high number of nodes and autonomous underwater vehicles that deployed to perform data transmission sea. In networks, sensors placed buoyant which highly vulnerable selfish behavioural attack. this paper, major challenges finding secure optimal route navigation identified order address them, Entropy based ACO algorithm (E-ACO) is proposed selection. Moreover, Selfish Node Recovery (SNR) using Grasshopper Optimisation Algorithm (GOA) used minimize packet loss UWSN. The performance E-ACO method compared with existing routing methods such as Secure Authentication Protected Data Aggregation (SAPDA), Energy Efficient Cooperative Routing (SEECR), Fault Resilient Moth Flame Optimization (FRR-MFO) Improved (IACO) method. delivery ratio 500 0.89 higher than other SAPDA, SEECR, FRR-MFO IACO.