A secure energy efficient event determination algorithm for underwater wireless sensor networks

Effective routing in underwater sensor networks (UWSNs) is a highly demanding task because of the weak radio channels in water and the changing topology of sensors that manoeuvre indifferently with water. Energy efficient derivative-based prediction (DBP) approach has been proposed to reduce the amount of messages required for transferring the data samples from a wireless sensor node to a base station. However, predicting sensor data is not effortless for underwater channels as they are prone to wormholes attack due to the inconsistent propagation delays. In this paper, an enhanced empirical data predicting method that not only predicts sensor data but also the topographical movements of the sensor nodes is presented. Further, a security aware locally restrained algorithm RDV-HOP is proposed to assess the influence of paths to other broadcaster nodes and to transmit the collected information to the network. The Advanced Encryption Standard (AES) algorithm is used to protect the confidentiality of data. The proposed method demonstrates a significant benefit in managing the dynamic networks with better energy efficiency even with extensive number of attackers. Extensive simulations were performed with variable number of wormhole attackers and the results show higher packet delivery ratio with reduced delay.