Void area in Underwater Acoustic Sensor Network (UASN) resulting in poor performance in terms of throughput, delay, data loss, node lifetime, etc., is one of the challenging issues for academics and industry. Deployment strategy and increasing the density of underwater acoustic nodes are some of the solutions proposed in the literature to address the void area in UASN. Despite these solutions, void area in underwater is an unsolvable issue due to the unreliability of links and mobility of nodes because of water current and ship’s navigation over an underwater network. Nevertheless, the performance degradation due to void area can be improved by the design of suitable routing algorithms for UASN. The existing routing algorithms for underwater communication consider either location or depth of next-hop as a critical deciding parameter to build routing tables. Additionally, in comparison with a terrestrial network, underwater communication imposes many challenges such as the dynamic nature of the environment, the lifetime of the nodes, etc. In such a versatile network deciding the next hop for data forward, based on the location or depth may not result in optimal selection. Furthermore, the performance metric of the wide scope of applications of underwater communication is not considered in the design of existing routing algorithms.
The primary objective of the proposed research is to design an application-specific multi-attribute, void-aware routing algorithm for UASN. The performance of the majority of the contributed routing algorithms available in the literature is evaluated using simulators such as SUNSET, NS2, NS3, etc. The secondary objective of the proposed research is to implement and validate the designed algorithm in the industry-standard simulator. Finally, implementing the proposed algorithm for realistic results in software-defined underwater acoustic modems for testbed deployment.
Ref. Number: EEQ/2018/001036
Principal Investigator: Dr. B. R. Chandavarkar, Dept. of CSE, NITK, Surathkal, brcnitk@gmail.com
Project Tenure: 3 Years (2019 - 2022)
Project Cost: 49 Lakhs INR
Research Staff: Akhilraj .V. Gadagkar, Dept. of CSE, NITK, Surathkal, gadagkar.akhil@gmail.com