Back close

Enhancing QoS in Long-Range Ocean Wireless Communication Networks: A Performance Evaluation

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Maneesha Vinodini Ramesh
Co-Project Incharge:Dr. B. S. Manoj, Dr. Sajal K Das, Dr. Dilip Krishnaswamy
Enhancing QoS in Long-Range Ocean Wireless Communication Networks: A Performance Evaluation

Marine fishermen face challenges of limited cellular coverage and isolation during fishing trips, leading to safety risks and mental depression. This project proposes a cost-effective solution that enables fishermen to use their smartphones for internet access at sea, using Wi-Fi and a long-range backhaul network. The proposed solution allows marine fishermen to use their existing smartphones for internet access at sea using Wi-Fi. An Access Point (AP) on the boat connects to an onboard gateway, which then connects to a long-range Wi-Fi backhaul network .Availability of internet services at sea is essential for accessing applications and services that can improve fishing business, such as E-commerce and live data of potential fishing zones advisory, search and rescue operations . Link quality parameters need to be studied to identify locations with reliable internet connectivity for emergency communication using VoIP services and other applications.

Publication Details

Patent Details

    Related Projects

    Process Development for Isolation and Characterization of Phytochemicals
    Process Development for Isolation and Characterization of Phytochemicals
    Synthesis of Modified Benzophenanthridine – a Preliminary Anti-Cancer Study
    Synthesis of Modified Benzophenanthridine – a Preliminary Anti-Cancer Study
    Development of Image Fusion Techniques and Measurement Methods to Assess Quality of Fusion
    Development of Image Fusion Techniques and Measurement Methods to Assess Quality of Fusion
    Lab-on-a-chip(LOC) for the monitoring of diabetes, cholesterol and kidney function
    Lab-on-a-chip(LOC) for the monitoring of diabetes, cholesterol and kidney function
    Lymphedema Characterization Using Segmental Bio-Impedance Signals and Early Detection with Machine Learning
    Lymphedema Characterization Using Segmental Bio-Impedance Signals and Early Detection with Machine Learning
    Admissions Apply Now