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Home»Technology»Revolutionizing Underwater Sensor Networks: An Energy-Efficient and Reliable IoT Solution
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Revolutionizing Underwater Sensor Networks: An Energy-Efficient and Reliable IoT Solution

October 16, 2024No Comments4 Mins Read
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Researchers have developed a cutting-edge IoT framework called REEFSM (Reliable and Energy-Efficient Framework with Sink Mobility) that optimizes energy efficiency and data reliability in underwater acoustic sensor networks. This innovative approach utilizes strategically placed mobile sink nodes to reduce the need for intermediary relay nodes, leading to a 43% reduction in energy consumption and a 35% increase in data reliability compared to existing protocols. The framework ensures zero dead nodes, minimal packet loss, and high data accuracy, paving the way for more sustainable and reliable data collection in underwater environments. This research holds great promise for advancements in the field of Internet of Things (IoT) and underwater sensor networks.

Table 1 Comparison of proposed framework enhancement with existing methods.

Underwater Sensor Networks: Challenges and the REEFSM Solution

Underwater sensor networks play a crucial role in various applications, such as environmental monitoring, oceanographic research, and offshore enterprises. However, these networks face significant challenges in optimizing energy efficiency and data reliability due to the constrained battery capacity of sensor nodes and the unique characteristics of the underwater environment.

To address these issues, the researchers developed the REEFSM framework, which leverages mobile sink nodes strategically placed within the network. By reducing the reliance on intermediate relay nodes, REEFSM achieves a remarkable 43% reduction in energy consumption and a 35% increase in data reliability compared to existing protocols like EERBCR and DEADS.

A Versatile and Reliable Network Architecture

The REEFSM framework employs a two-dimensional network model, with the area divided into four regions, each further segmented into three sections. Four mobile sink nodes are positioned centrally within these zones, ensuring minimal transmission distances and reducing the need for intermediary nodes.

Key features of the REEFSM framework include:
– Direct communication between sensor nodes and mobile sinks, bypassing the need for energy-hungry relay nodes
– Optimized wake-up and sleep cycles for sensor nodes, minimizing energy consumption
– Structured network architecture with balanced coverage and reduced latency
– Efficient neighbor discovery and packet forwarding algorithms for reliable data transmission

Exceptional Performance and Energy Efficiency

The simulation results demonstrate the superior performance of the REEFSM framework. Compared to other protocols, REEFSM shows a significant reduction in energy consumption, with the network maintaining 536 joules of residual energy at the end of 1000 simulation rounds, while other protocols like DBR and EEDBR deplete their energy completely.

In terms of data transmission, REEFSM exhibits the highest number of packets sent to the sink nodes, reaching 64,235 by the end of the simulation. Crucially, it also displays the lowest packet drop rate, with only 5,888 drops, highlighting its exceptional reliability and efficiency in data delivery.

Paving the Way for the Future of Underwater Sensor Networks

The success of the REEFSM framework sets the stage for further advancements in the field of underwater sensor networks. The researchers suggest that future research directions, such as integrating autonomous path planning, Click Here

This work is made available under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. This license allows for the free and unrestricted use, sharing, and distribution of the content, provided that appropriate credit is given to the original author(s) and the source, a link to the license is provided, and no modifications or derivative works are created. The images or other third-party materials included in this work are also subject to the same license, unless otherwise stated. If you wish to use the content in a way that is not permitted under this license, you must obtain direct permission from the copyright holder.
Agricultural Biotechnology data reliability energy efficiency mobile sinks REEFSM underwater sensor networks
jeffbinu
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Tech enthusiast by profession, passionate blogger by choice. When I'm not immersed in the world of technology, you'll find me crafting and sharing content on this blog. Here, I explore my diverse interests and insights, turning my free time into an opportunity to connect with like-minded readers.

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