Multicast Traffic Throughput Maximization through Joint Dynamic Modulation and Coding Schemes Assignment, and...

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Wireless sensor networks (WSNs) face challenges in maximizing multicast packet traffic throughput.
• Time division multiple access (TDMA) is a common channel access method in WSNs.
• Adjustable modulation and coding schemes (MCSs) and transmission power control (TPC) offer potential for optimization.

Purpose of the Study:

• To determine the extent to which traffic throughput can be increased by optimizing MCSs assignment and TPC in multi-hop WSNs.
• To investigate the combined effect of MCSs and TPC on multicast throughput.
• To provide a framework for joint optimization of these parameters.

Main Methods:

• Development of mixed-integer programming formulations for joint MCSs assignment and TPC optimization.
• Design of a solution algorithm to address the optimization problem.
• Conducting a numerical study to evaluate the proposed methods.

Main Results:

• Significant throughput gains are achievable through proper MCSs assignment.
• Further throughput improvements are realized by incorporating transmission power control (TPC).
• The proposed joint optimization approach demonstrates considerable effectiveness.

Conclusions:

• Joint optimization of MCSs and TPC is a highly effective strategy for maximizing multicast throughput in WSNs.
• The developed mixed-integer programming models and algorithms provide a viable solution.
• The findings highlight the importance of adaptive parameter control for network performance.