Current reasearch carried on by WNOT
The Wireless Network Optimization Team has developed the following technologies as a result of the research carried on:
1. Power consumption optymalization algorithm during monitoring of mobile's user
2. Mobility model based on patterns of human behavior - RLMM (Real-Life Mobility Model)
The performance evaluation of mobile wireless networks requires a representation of user mobility. Mobility models are the essential part of such evaluation because they assure examples of mobile nodes movement for typical scenarios. Mobility models provide synthetic traces adjusted to user’s needs. We propose a novel RLMM model that produces synthetic traces of a working human and includes clear division on working days and weekend activities. We describe the model and evaluate it using simulation. The model provides better representation of changes in human behavior on different days than the models available in the literature.
Software created by WNOT:
1. Simulation model of user's handover in mobile network
We have developed a number of simulation models for OMNeT++ environment that allow the analysis of mobile wireless network performance. We have included various radio propagation models and expanded the INET framework by propagation model of SUI. We modeled procedures of users hondoff between base stations and access points and developed algorithms for modeling of network throughput changes caused by the client mobility.
2. RLMM mobility model