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Optimized Sharable-Slot Allocation Using Multiple Channels to Reduce Data-Gathering Delay in Wireless Sensor

Phan Van Vinh¹, Hoon Oh²

¹School of Engineering, Eastern International University (EIU), Binh Duong City 822096, Vietnam. vinh.phan@eiu.edu.vn.

Sensors (Basel, Switzerland)

|April 13, 2016

Summary

This summary is machine-generated.

This study introduces a channel-slot-scheduling algorithm to enhance wireless sensor network performance for real-time applications. The method optimizes sharable slot sizes across multiple channels, improving data acquisition reliability and throughput.

Keywords:

gathering delay multi-channel optimized sharable slot reliability slot scheduling

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Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Growing demand for event-driven, real-time applications in industrial sectors.
Challenges in wireless sensor networks (WSNs) include limited energy and bandwidth, impacting timely and reliable data acquisition.
Existing methods struggle to meet stringent time constraints for multiple real-time applications simultaneously.

Purpose of the Study:

To enhance network throughput and reliability in WSNs for real-time data acquisition.
To address limitations of energy and bandwidth in WSNs.
To develop an algorithm optimizing data transmission for applications with tight time constraints.

Main Methods:

Proposed a channel-slot-scheduling algorithm utilizing multiple channels.
Optimized the size of a sharable slot for data transmission within the WSN.
Addressed scenarios with nodes generating multiple data packets per round.

Main Results:

The proposed algorithm significantly improves network throughput.
Enhanced the reliability of data delivery in WSNs.
Demonstrated superior performance over existing methods on selected metrics through simulations.

Conclusions:

The developed channel-slot-scheduling algorithm effectively addresses WSN limitations for real-time applications.
Optimizing sharable slot size and utilizing multiple channels are key to improving throughput and reliability.
The approach offers a viable solution for timely and reliable data acquisition in industrial settings.