Conference Papers
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Item A framework for residual energy model in unetstack simulator for underwater sensor networks(Institute of Electrical and Electronics Engineers Inc., 2020) Chandavarkar, B.R.; Gadagkar, A.V.In recent years, Underwater Acoustic Sensor Networks (UASN) has gained much attention from researchers because of its diverse applications. UASNs face several issues and challenges like limited bandwidth, high propagation delay, 3D topology, media access control, routing, resource utilization, and energy constraints. Unlike the nodes in terrestrial wireless sensor networks (TWSNs), UASNs suffer from energy constraints, severely affecting the network lifetime and throughput. Simulation of UASNs is a common aspect of researchers. It facilitates analysis of the working and performance of a UASN before it is implemented and deployed, which incurs substantial time and cost. Among the different simulation platforms available for simulating UASNs, UnetStack is one, which is an efficient and well-known tool available for simulating UASN, with significant benefits. But, the present UnetStack does not provide direct functionality for monitoring the energy of nodes during simulations, which is crucial. This paper presents the design and implementation of the residual energy model framework in UnetStack. Additionally, through the experimental simulations, the number of frames transmitted received, and the depletion of node energy over time presented. Further, the implemented energy model framework able the researchers in the design of energy-aware routing protocols and load balancing methods. © 2020 IEEE.Item Expectation-Based Multi-Attribute Multi-Hop Routing (EM2R) in Underwater Acoustic Sensor Networks(Institute of Electrical and Electronics Engineers Inc., 2020) Chandavarkar, B.R.; Gadagkar, A.V.Underwater acoustic sensor networks (UASNs) have been a recommended technology for acquiring details from underwater. These networks has underwater sensors that have energy constraints and use acoustic communication medium. Routing in UASN is one of the primary issues, as the data need to be forwarded utilizing minimum energy and higher packet delivery rate. Deciding the next forwarding node play a significant role in routing algorithms for UASN and directly impact packet delivery and energy consumed by the nodes. This paper proposes an expectation-based multi-attribute multi-hop routing (EM2 R) in underwater acoustic sensor networks. EM2 R uses node's residual energy and distance as a multi-attribute criterion in selecting next-hop for routing. Further, the detailed implementation of EM2 R in industry-standard underwater network simulator referred to as UnetStack is presented. Additionally, the performance of EM2 R is presented with reference to the selection of the forwarding node and their energy depletion, delay, and throughput. © 2020 IEEE.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.