Abstract
In Indian coastal zone, real-time tracking of fishing vessels is nonexisting. This leads to numerous challenges in search and rescue operation, communicating emergency messages, etc. A quick solution for this is to install GPS devices, which is costly. In our research work, we designed and developed a low-cost hybrid solution with minimum number of location aware nodes. Real-time relative location information of mobile sensor nodes was developed by integrating mobility management, virtual coordinate system (VCS), and topology preserving map (TPM). The architecture is implemented in MATLAB and is tested with a rectangular network scenario with up to five mobile nodes and is able to track the relative location trace of mobile nodes at a particular interval of time. The effect of various simulation parameters such as communication range, node placement, number of mobile nodes, and sampling rate selection in tracking the mobile nodes with our system is also performed.
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Acknowledgments
We would like to express our sincere gratitude to Dr. Anura P. Jayasumana, Professor, Colorado State University, USA, for the time he dedicated to help us in our research work and the seamless guidance and support. Also we would like to express our gratitude for the immeasurable motivation and guidance provided by Sri. (Dr) Mata Amritanandamayi Devi (AMMA), Chancellor of Amrita University. This project is partly funded by a grant from Information Technology Research Agency (ITRA), Department of Electronics and Information Technology (DeitY), Govt. of India.
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Sruthi, N., Divya, P., Ramesh, M.V. (2016). Topology Preserving Map Generation for Multiple Mobile Fishing Vessels. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_23
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DOI: https://doi.org/10.1007/978-81-322-2656-7_23
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