Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item Underwater Acoustic Sensor Networks’ Performance Evaluation Tool (UASN-PET) for UnetStack(Springer Science and Business Media Deutschland GmbH, 2022) Kushwaha, H.S.; Chandavarkar, B.R.An underwater sensor network simulator is an analytical tool used to analyze the network performance of a WSN (Wireless Sensor Network). There are various underwater network simulators such as NS2-MIRACLE, SUNSET, Aqua-Net/Mate, DESERT, and UnetStack. However UnetStack is more compatible to real modems from the deployment point of view in comparison with other. UnetStack creates a log-0.txt file and a trace.json file after compiling a groovy file. These trace files are analyzed to get data for per- performance study of a new protocol. To make the process of getting data for performance studies easier, the Underwater Acoustic Sensor Networks Performance Evaluation Tool (UASN-PET) for UnetStack is proposed. This tool helps in extracting and presenting a performance study of a network topology through an interactive GUI. UASN-PET for UnetStack is written in Python so that researchers can spend more time and attention on developing new protocols rather than analyzing trace files. This paper also discusses UnetStack’s trace file format © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Item A Comprehensive Review on Result Extraction and Analysis in Underwater Network Simulators: A UnetStack Perspective(Springer Science and Business Media Deutschland GmbH, 2025) Gadagkar, A.V.; Chandavarkar, B.R.; Kushwaha, H.S.Simulation of Underwater Acoustic Sensor networks (UASNs) enables researchers to test and verify the protocols or techniques developed quickly and inexpensively. Many underwater network simulation platforms are available such as NS-2 Miracle, Aqua-Net, DESERT, SUNSET, and UnetStack. After conducting a simulation, any simulation platform typically generates a simulation trace or log file. This file has to be processed further to analyze the network performance. However, this requires writing additional scripts or programs, making processing trace files laborious, time-consuming, and prone to error. Thus, a tool that can automate this task of processing the simulation traces and extracting the required result for network performance analysis would help the researchers to focus on developing and validating their work. A few automated tools are available for specific simulators, but no such automated tool is available for the UnetStack simulator. UnetStack is a popular industry standard underwater network simulation platform used in research and development. The community edition is freely and publicly available for research and academia. This work reviews the process and the tools for result extraction and analysis. Furthermore, the work discusses details on available methods in UnetStack for extracting and analyzing the results with their limitations and the scope for building an automated trace analysis tool and finally gives concluding remarks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.