Wireless network traffic modeling and localization in WSNs
- Accurate load characterization in an IEEE802.11 infrastructure can be beneficial in modeling network traffic and addressing problems such as coverage planning, resource reservation and network monitoring for anomaly detection.
- Understood the main features of the components forming the network traffic and designed a traffic predictor for the trend portion.
- Proposed novel localization techniques based on multivariate (Gaussian and non-G models) of the signal strength measurements collected from several access points (APs) at different locations.
- Exploited the novel framework of compressive sensing to perform sparsity-based accurate indoor localization, while reducing significantly the amount of information transmitted from a wireless device.
- Considered compressed sensing (CS) for signal reconstruction and channel estimation in OFDM-based high-rate ultra wideband (UWB) communication systems.
