How do you evaluate the performance and reliability of mobile ad hoc networks?

1 Network metrics

The first step is to define the network metrics that reflect the performance and reliability of MANETs. Some common metrics are throughput, delay, jitter, packet loss, packet delivery ratio, network lifetime, and connectivity. Depending on the application and scenario, different metrics may have different priorities and trade-offs. For example, a video streaming application may require high throughput and low jitter, while a sensor network may focus on network lifetime and connectivity.

2 Simulation tools

The second step is to use simulation tools to model and test the behavior and performance of MANETs under various conditions and parameters. Simulation tools can help you compare different network protocols, configurations, and scenarios without the need for expensive or impractical hardware and field experiments. Some popular simulation tools for MANETs are NS-2, NS-3, OPNET, OMNeT++, and QualNet. However, simulation tools also have some limitations, such as scalability, realism, and validation.

3 Emulation platforms

The third step is to use emulation platforms to bridge the gap between simulation and real-world deployment. Emulation platforms can integrate real devices, applications, and traffic with simulated or virtual components to create a realistic and scalable network environment. Emulation platforms can help you validate and refine the simulation results, as well as test the network performance and reliability under real or near-real conditions. Some examples of emulation platforms for MANETs are CORE, EMANE, JEmuNet, and Mininet.

4 Experimentation testbeds

The fourth step is to use experimentation testbeds to conduct real-world experiments with actual devices and networks. Experimentation testbeds can provide you with the most accurate and reliable data and feedback on the network performance and reliability. However, experimentation testbeds also have some challenges, such as cost, availability, accessibility, repeatability, and scalability. Some examples of experimentation testbeds for MANETs are ORBIT, Emulab, CUTE, and MeshLab.

5 Analytical models

The fifth step is to use analytical models to derive theoretical or mathematical expressions or formulas that describe the network performance and reliability. Analytical models can help you understand the underlying principles and factors that affect the network behavior and performance, as well as predict the network outcomes and trends. However, analytical models also have some assumptions and simplifications that may not capture the complexity and variability of real-world networks. Some examples of analytical models for MANETs are queueing theory, graph theory, stochastic geometry, and game theory.

6 Benchmarking standards

The sixth step is to use benchmarking standards to compare and evaluate the network performance and reliability across different networks, protocols, and systems. Benchmarking standards can help you establish a common ground and a reference point for measuring and reporting the network performance and reliability. However, benchmarking standards also have some challenges, such as diversity, compatibility, and applicability. Some examples of benchmarking standards for MANETs are RFC 2501, RFC 8221, and IEEE 802.11s.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?