研究目的
To address the design of the protocol stack for wireless nanosensor networks by focusing on electromagnetic communication in the terahertz band, as current tools only support molecular-based approaches, and to create a simulation scenario using the Nano-Sim tool.
研究成果
The Nano-Sim tool effectively simulates electromagnetic-based nanonetworks in the terahertz band, showing that the number of nano-devices significantly impacts simulation time and packet loss. SmartMAC outperforms TransparentMAC in reducing packet loss, and packet delay increases linearly with communication distance. The findings provide insights for optimizing network design in wireless nanosensor networks.
研究不足
The simulation is based on theoretical models and may not fully capture real-world complexities. The tools used are limited to electromagnetic communication scenarios, and molecular-based approaches are not extensively covered. The study relies on simulation, which may have computational inefficiencies and assumptions that affect accuracy.
1：Experimental Design and Method Selection:
The study involves a theoretical comparison of simulation tools and the development of a simulation scenario for wireless nanosensor networks using electromagnetic communication in the terahertz band. The Nano-Sim tool, built on NS-3, is selected for its modularity and flexibility.
2：Sample Selection and Data Sources:
Simulation scenarios are designed with varying parameters such as number of transmitters, routers, and communication distances. Data is generated through discrete-event simulations.
3：List of Experimental Equipment and Materials:
The primary tool is the Nano-Sim simulator running on NS-3, with no specific hardware mentioned.
4：Experimental Procedures and Operational Workflow:
Scenarios are set up with fixed and variable parameters (e.g., simulation time, data generation frequency, mobility model). Simulations are run to measure packet delay, simulation time, and packet loss ratio.
5：Data Analysis Methods:
Results are analyzed through numerical comparison and graphical plots to observe trends and dependencies.
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