Publication Type : Journal Article
Thematic Areas : Wireless Network and Application
Publisher : Advances in Intelligent Systems and Computing, Artificial Intelligence and Evolutionary Computations in Engineering Systems.
Source : Advances in Intelligent Systems and Computing, Artificial Intelligence and Evolutionary Computations in Engineering Systems, vol. 394, pp. 259-272, 2016
ISBN : 9788132226543
Keywords : Artificial intelligence, Communication range, Emergency messages, Engineering research, Fisheries, Fishing vessels, Information management, Location, MATLAB, Mobile sensor node, mobility management, Search and rescue operations, Sensor nodes, Simulation parameters, Singular value decomposition, Surface discharges, Topology, Topology preserving maps, Virtual coordinate systems
Campus : Amritapuri
School : Centre for Cybersecurity Systems and Networks
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2016
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. © Springer India 2016.
Cite this Research Publication : Sruthi Narayanan, P., D., and Dr. Maneesha V. Ramesh, “Topology preserving map generation for multiple mobile fishing vessels”, Advances in Intelligent Systems and Computing, Artificial Intelligence and Evolutionary Computations in Engineering Systems, vol. 394, pp. 259-272, 2016
