WSN-SES/MB: System Entity Structure and Model Base Framework for Large-Scale Wireless Sensor Networks.

Area of Science:

• Computer Science
• Network Engineering
• Simulation Modeling

Background:

• Large-scale wireless sensor networks (WSNs) face significant energy and computational constraints.
• Modifying WSN configurations post-deployment is challenging.
• Existing simulators require extensive manual effort to generate diverse network models.

Purpose of the Study:

• To propose a novel framework, WSN-SES/MB, for synthesizing WSN structure and simulation models.
• To enable automated and diverse model generation for discrete event simulation.
• To reduce time and cost associated with WSN simulation model construction.

Main Methods:

• Development of a framework based on Discrete Event System Specification (DEVS) formalism.
• Implementation of a modeling construction process for WSNs.
• Utilization of a pruning algorithm to enhance simulation model diversity.

Main Results:

• The WSN-SES/MB framework successfully synthesizes WSN structure and models.
• Achieved up to 8% time savings in simulation model construction.
• Demonstrated up to 23% cost savings compared to manual methods.

Conclusions:

• The proposed WSN-SES/MB framework offers significant efficiency gains.
• The framework enhances the diversity of simulation models for WSNs.
• This approach addresses the limitations of current WSN simulation tools.