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Novel Scoring for Energy-Efficient Routing in Multi-Sensored Networks
Wooseong Kim1, Muhammad Muneer Umar2, Shafiullah Khan1,2
1Computer Engineering Department, Gachon University, Seongnam 13120, Korea.
Sensors (Basel, Switzerland)
|February 26, 2022
Summary
This study introduces a novel routing mechanism for Internet of Things (IoT) wireless sensor networks (WSNs) to balance energy consumption and extend network lifetime. The proposed method uses a scoring scheme considering node density and energy levels for efficient data routing.
Area of Science:
- Computer Science
- Network Engineering
- Electrical Engineering
Background:
- Internet of Things (IoT) wireless sensor networks (WSNs) require reliable end-to-end routes for seamless device operation.
- Limited power in sensor nodes causes disconnections in multi-hop routes, reducing IoT network efficiency.
- Node density impacts route availability and path multiplicity in WSNs.
Purpose of the Study:
- To propose an efficient routing mechanism that extends WSN lifetime by adaptively selecting optimal data transfer routes.
- To balance energy consumption across all nodes in the WSN.
- To enhance the overall efficiency and reliability of IoT networks.
Main Methods:
- Developed a novel routing mechanism assigning a score to each node based on combined evaluation metrics.
- The scoring scheme incorporates node density and energy levels to determine node importance in routing paths.
- The mechanism is designed to accommodate non-cooperative nodes within the network.
Main Results:
- The proposed routing mechanism effectively balances energy consumption among sensor nodes.
- Simulation results indicate a significant extension of the WSN lifetime compared to existing protocols.
- The approach demonstrates improved performance in maintaining end-to-end connectivity.
Conclusions:
- The novel scoring-based routing mechanism enhances WSN lifetime and energy efficiency in IoT networks.
- Considering node density and energy levels is crucial for adaptive and efficient routing.
- The proposed method offers a promising solution for reliable data transfer in power-constrained WSNs.
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