Research Article IDBR: Iot Enabled Depth Base Routing Method for Underwater Wireless Sensor Network Umer Farooq, 1 Mohib Ullah , 1 Rafi Ullah Khan , 1 Abdullah Alharbi, 2 Muhammad Irfan Uddin , 3 Muhammad Inam Ul Haq, 4 and Wael Alosaimi 2 1 Institute of Computer Science and Information Technology, The University of Agriculture, Peshawar, Pakistan 2 Department of Information Technology, College of Computers and Information Technology, Taif University, P.O.Box 11099, Taif 21944, Saudi Arabia 3 Institute of Computing, Kohat University of Science and Technology, Kohat 26000, Pakistan 4 Department of Computer Science and Bioinformatics, Khushal Khan Khattak University, Karak, Pakistan Correspondence should be addressed to Rafi Ullah Khan; rafiyz@gmail.com Received 29 August 2021; Accepted 17 September 2021; Published 8 October 2021 Academic Editor: Guolong Shi Copyright © 2021 Umer Farooq et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Underwater wireless sensor networks (UWSNs) gained the attention of researchers due to their substantial applications in various fields. The major application areas of UWSN are environmental monitoring, underwater oil and gas extraction and military surveillance, smart farming, communication, and others. However, UWSNs are also prone to significant issues, such as limited network lifetime, the low processing capability of nodes, high energy consumption to run routing protocols, and difficult node replacement. Therefore, enhancing the lifetime of UWSN by reducing energy consumption and processing is a research issue. In this research, we proposed the IoT enabled depth base routing method (IDBR) to utilize energy efficiently. The performance of the proposed IDBR method is compared with conventional DBR protocol using simulation conducting in MATLAB. The performance of both the methods (i.e., IDBR and DBR) is evaluated in network energy consumption, the number of alive nodes, sink utilization, and end-to-end delay. The simulation-based experiment results show that IDBR consumes 27.7% less energy and increases network stability than the DBR. Similarly, the utilization of the surface sinks in IDBR is more as compared to DBR as in IDBR, and sinks work as relay forward data to the base station without processing which increases the power of field nodes. The proposed mechanism improves the network’s lifetime and increases the accessibility and security of the sensed data. 1. Introduction The two-third part of planet Earth consists of water in vari- ous forms such as oceans, lakes, streams, rivers, and glaciers [1, 2], containing an ample quantity of valuable resources. This shows the importance of exploring the underwater medium. Exploring underwater medium is also essential for monitoring pollution [3], military application [4], oil rig maintenance [5], marine life and environmental moni- toring [6], etc. The recent advancement in underwater sen- sors technology has led to the possibility of underwater explorations using sensors effectively [7]. UWSN combines autonomous sensors designed to sense the pressure, temper- ature, water quality, and other water-related properties [8]. The data gathered by the sensors is then sent to the sink node for analysis through other sensor nodes using acoustic waves. The significant problems related to the UWSNs are limited network lifetime, the low processing capability of nodes, and high energy consumption to run routing proto- cols [2]. As the battery replacement in UWSN is a challeng- ing task, an energy-efficient routing method can be useful to improve the lifetime of the network. Internet of Things (IoT) is a network concept between physical objects embedded with software, sensors, and other communication hardwares [9, 10]. IoT’s primary purpose is to provide efficient communication and data collection for the devices used for various tasks such as traffic monitoring, data collection device usage, monitoring and maintenance, Hindawi Journal of Sensors Volume 2021, Article ID 7777181, 8 pages https://doi.org/10.1155/2021/7777181