Hybrid optimization routing management for autonomous underwater vehicle in the internet of underwater things
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RESEARCH PAPER
Hybrid optimization routing management for autonomous underwater vehicle in the internet of underwater things Y. Harold Robinson 1 & S. Vimal 2 & E. Golden Julie 3 & Manju Khari 4 & Christopher Expósito-Izquierdo 5 & Javier Martínez 6 Received: 26 July 2020 / Accepted: 9 October 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Internet of Underwater Things (IoUTs) is completely embraced by acoustic sensor nodes that are commonly battery consumption. The sensor’s battery life is restricted and it is problematic while it needs to recharge. Moreover, these kinds of underwater sensor nodes may form the cluster to store the huge amount of energy. The cluster head formation is the main problem that the cluster head needs to use added energy for aggregation and data collection to broadcast the data packets to the destination. The autonomous underwater vehicles (AUVs) have to be used to connect the sensor nodes with the internet or particular devices, the path discovery within the AUV is the primary issue for producing the efficient routing in IoUTs. In this paper, the proposed routing strategy is used to provide energy proficiency while performing the cluster-based routing. AUV is responsible for selecting the cluster head and maintaining cluster-based scheduling. The AUV path is constructed to increase the residual energy for the sensor nodes in the network. It coordinates the AUV’s effective way of arranging calculations into the steering convention. This incorporated specialized strategy depends on two stages: A-ANTD (AUV-Assisted Network Transmit Devising) and TARD (Transmit Assisted Route Devising). A-ANTD uses the collaboration of performance of multiple ventures to decrease energy utilization for the system and stays away from the problem area and sector issue with a vital GN (Gateway Nodules) plans. The experimental results show that the proposed methodology has improved performance compared with the other methods. Keywords Internet of underwater things . Autonomous underwater vehicles . Energy efficiency . Cluster head
Introduction Wireless underwater mobile sensor networking (Patil et al. 2019) is that the enhancing technology for these applications that accommodates a variable variety of sensors and vehicles that area unit deployed to achieve cooperative observation (Pompili et al. 2006). To attain this aim for sensors that are * Javier Martínez [email protected] Y. Harold Robinson [email protected]
deployed randomly with the ocean-atmosphere to utilize the submerged systems administration might be a fairly obscure space however submerged interchanges are tested with high constriction anyway zone unit disappeared with dispersing (Hirai et al. 2012). Besides, the transmission of optical flags needs high exactness in educates the slim optical gadget shafts. Accordingly, interfaces in submerged systems zone 1
School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
2
Department of Information Technology, National Enginee
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