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A novel joint problem of routing, scheduling, and variable-width channel allocation in WMNs
Chun-Cheng Lin1, Wan-Yu Liu2, Chun-Hung Chou1
1Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu 300, Taiwan.
Thescientificworldjournal
|July 2, 2014
Summary
This study optimizes wireless mesh networks by dynamically adjusting channel widths for better performance. The novel approach improves concurrent transmissions and reduces interference, offering efficient solutions for complex routing and scheduling problems.
Area of Science:
- Computer Science
- Electrical Engineering
- Wireless Communication Networks
Background:
- Existing research on joint routing, scheduling, and channel allocation in wireless mesh networks often lacks practical constraints.
- Dynamic adjustment of channel widths is crucial for enhancing concurrent transmissions and mitigating interference.
Purpose of the Study:
- To develop a more practical linear programming model for joint routing, scheduling, and channel allocation.
- To propose an efficient simulated annealing algorithm for optimizing these parameters in dynamic multichannel wireless mesh networks.
Main Methods:
- Constructed an enhanced linear programming model incorporating practical network constraints.
- Developed a simulated annealing approach with a novel encoding mechanism to manage dynamic transmission processes across multiple time slots.
Main Results:
- The proposed simulated annealing approach achieves optimal or near-optimal solutions for smaller network scales.
- Efficiently finds high-quality solutions for larger, more complex wireless mesh network configurations.
Conclusions:
- The novel approach effectively addresses the joint problem of routing, scheduling, and channel allocation in dynamic multichannel wireless mesh networks.
- Offers a practical and scalable solution for improving network performance by optimizing channel width dynamically.
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