Estimation of expectable network quality in wireless mesh networks

Authors:
Till Wollenberg
Affiliations:
Department of Computer Science, University of Rostock, Germany
Venue:
IFIP'12 Proceedings of the 2012 international conference on Networking
Year:
2012

Citing 7
Cited 0

Dynamic spectrum access in WLAN channels: empirical model and its stochastic analysis

TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Ubiquitous Computing: Smart Devices, Environments and Interactions

Ubiquitous Computing: Smart Devices, Environments and Interactions
Wireless mesh networks: a survey

Computer Networks: The International Journal of Computer and Telecommunications Networking
Predictable 802.11 packet delivery from wireless channel measurements

Proceedings of the ACM SIGCOMM 2010 conference
Lessons learned from an extensive spectrum occupancy measurement campaign and a stochastic duty cycle model

Mobile Networks and Applications
Airshark: detecting non-WiFi RF devices using commodity WiFi hardware

Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
A Distributed End-to-End Reservation Protocol for IEEE 802.11-Based Wireless Mesh Networks

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Our work aims to improve the usability of wireless mesh networks as communication layer of smart office environments. While wireless mesh networks are well-suited for this task in general, the negative impact of interference, fading, and saturation makes the communication basically opportunistic. Our goal is to develop a system which allows a short-term estimation of network quality in terms of throughput, packet loss and latency. The estimation is based on channel measurements and detected high-level activities. With the estimated quality, we expect a significant improvement to user assistance and a speed-up of device integration. In this work-in-progress paper, we define the fundamental problem and its background and design a system that is suitable to solve the problem. We also present some preliminary results from ongoing experiments we carry out in a custom indoor test bed.