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Transmission Optimization Metrics Setup Issues in the Field of Time Constrained Communications.
Ondřej Vondrouš1, Zbyněk Kocur2, Jaromír Hrad3
1Department of Telecommunication Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, CZ-166 27 Praha 6, Czech Republic. ondrej.vondrous@fel.cvut.cz.
This study introduces the Transmission Optimization Metric (TOM) for network optimization, enhancing traffic flow continuity and sustainability in narrow-band networks. TOM minimizes inter-packet gaps, improving resource allocation and transmission success rates.
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Area of Science:
- Computer Science
- Electrical Engineering
- Network Engineering
Background:
- Harsh transmission conditions in narrow-band networks pose challenges for traffic flow continuity and sustainability.
- Existing network optimization methods may not adequately address issues like inter-packet gaps and resource allocation efficiency.
- Narrow-band wireless networks, including those using CSMA/CA and TDMA protocols, require specialized optimization approaches.
Purpose of the Study:
- To introduce and evaluate a novel Transmission Optimization Metric (TOM) for network optimization.
- To enhance traffic flow continuity and sustainability by minimizing inter-packet gaps.
- To improve resource allocation efficiency in narrow-band networks.
Main Methods:
- Development of the Transmission Optimization Metric (TOM).
- Parameterization of coefficients within the TOM optimization method.
- Analysis of network topologies using CSMA/CA and TDMA protocols.
Main Results:
- The TOM approach effectively minimizes inter-packet gaps, improving traffic flow continuity.
- TOM leads to better resource allocation, reducing the number of attempts for successful transmissions.
- Analysis demonstrates the impact of parameter settings on TOM performance across different network topologies.
Conclusions:
- The Transmission Optimization Metric (TOM) offers a promising approach for optimizing network performance, particularly in challenging narrow-band environments.
- TOM has the potential to become a standard for optimization in networks like sensor networks with specific traffic characteristics.
- Proper parameterization of TOM coefficients is crucial for achieving optimal results in various network configurations.

