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An Adaptive Channel Access Method for Dynamic Super Dense Wireless Sensor Networks.
Chunyang Lei1, Hongxia Bie2, Gengfa Fang3
1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China. leichunyang.2014@gmail.com.
Sensors (Basel, Switzerland)
|December 4, 2015
Summary
This study introduces an adaptive algorithm to manage channel access in dense wireless networks. It dynamically tunes the contention window, significantly improving throughput and fairness in dynamic environments.
Area of Science:
- Wireless Communication Networks
- Network Congestion Control
Background:
- Dense wireless networks (e.g., IoT, V2V) are rapidly expanding.
- Existing channel access schemes struggle with congestion in dynamic, dense networks.
Purpose of the Study:
- To address channel congestion in dense wireless networks.
- To develop an adaptive channel access scheme for improved performance.
Main Methods:
- Developed a normalized channel contention analysis model.
- Proposed an adaptive channel contention window tuning algorithm.
- Dynamically adjusted contention window tuning rate based on estimated channel contention.
Main Results:
- Achieved over 95% of theoretical optimal throughput.
- Obtained a fairness index of 0.97.
- Demonstrated effectiveness in dynamic and dense network scenarios.
Conclusions:
- The proposed adaptive algorithm effectively manages channel contention.
- Fast contention window tuning enhances throughput and fairness in dense wireless networks.
