From LINC

The following information has been taken from the event homepage. Please refer to it for more information.

Wireless networks are more complex and vulnerable than their wired counterpart. Furthermore, the interaction of different layers and technologies create challenging situations that cannot be foreseen during the design and testing stages of technology development. It is therefore critical to perform comprehensive empirical studies in a wide range of production environments to uncover deficiencies and identify possible optimizations and extensions. The availability of high-quality measurement and modeling studies would make it possible to develop wireless networks that are more robust, easier to manage and scale, and able to utilize scarce resources more efficiently.

The objective of the workshop is to attract the most recent developments in the area of wireless network measurement and bring together active researchers in an environment that encourages discussion and exchange of ideas.

The submitted papers will be up to 4-pages long in the IEEE double-column format. The final version of the accepted papers will be up to 6 pages long. Submitted papers should have measurement as their main subject or they should use measurements to validate their modeling/analysis results.

Topics of interest include (but are not limited to):

• Characterization and modeling of wireless demand and network topology
• Benchmarks for wireless networking algorithms, protocols and applications
• Operational experience concerning the performance of wireless networks
• Prediction and inference of user access, demand and mobility
• Challenges with wireless measurements
• Experimental (in)validation of assumptions in wireless environments
• Metrics for wireless network performance evaluation
• Wireless network troubleshooting techniques and recommendations
• Experience with building/designing/expanding wireless networks
• Description of tools for building and/or managing wireless testbeds
• Techniques for improving experiment repeatability
• Techniques for validating results obtained from wireless testbeds
• Measurement-based guidelines for capacity planning