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Underwater Acoustic Sensor Network Data Optimization with Enhanced Void Avoidance and Routing Protocol

Author(s)
Meenakshi Garg Department of Computer Science Engineering, Chandigarh Engineering College, Jhanjeri, India
Sachin Sharma Department of Computer Science and Engineering, Dev Bhoomi Uttarakhand University, Dehradun, Uttarakhand, India
Vincent Balu Department, Department of Mechanical Engineering, Sanskriti University, Mathura, Uttar Pradesh, India
Deepak K Sinha Department of Computer Science and Engineering, Jain (Deemed-to-be University), Bangalore, India
Pujita Bhatt Department of Mechatronics, Parul Institute of Technology, Parul University, Vadodara, Gujarat, India.
Akash Kumar Bhagat Department of Computer Science, ARKA JAIN University, Jamshedpur, Jharkhand, India.
Abstract
Deployment of a multi-hop underwater acoustic sensor network (UASN) in a larger region presents innovative challenges in reliable data communications and survivability of network because of the limited underwater interaction range or bandwidth and the limited energy of underwater sensor nodes. UASNs are becoming very significant in ocean exploration applications, like underwater device maintenance, ocean monitoring, ocean resource management, pollution detection, and so on. To overcome those difficulties and attains the purpose of maximizing data delivery ratio and minimizing energy consumption of underwater SNs, routing becomes necessary. In UASN, as the routing protocol will guarantee effective and reliable data communication from the source node to the destination, routing protocol model was an alluring topic for researchers. There were several routing techniques devised recently. This manuscript presents an underwater acoustic sensor network data optimization with enhanced void avoidance and routing (UASN-DAEVAR) protocol. The presented UASN-DAEVAR technique aims to present an effective data transmission process using proficient routing protocols. In the presented UASN-DAEVAR technique, a red deer algorithm (RDA) is employed in this study. In addition, the UASN- Underwater Acoustic Sensor Network Data Optimization with Enhanced Void Avoidance and Routing Protocol Available online at: 151 CC License CC-BY-NC-SA 4. DAEVAR technique computes optimal routes in the UASN. To exhibit the effectual results of the UASN-DAEVAR technique, a wide spread experimental analysis is made. The experimental outcomes represented the enhancements of the UASN-DAEVAR model
Publication Details
Page(s) 150-162
DOI DOI not available
Published Journal: International Journal of Communication Networks and Information Security, Volume: 14, Issue: 3, Year: 2022

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Keywords
Routing Protocol, Void avoidance, Metaheuristics, Underwater acoustic sensor network, Red deer algorithm
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