Evaluation of Analytic Interference, Reception and Detection Modeling forIEEE 802.15.4 Networks with theMiXiM Omnet++ Framework
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
WirelessSensor Networks have emerged among the different wireless technologies sharingthe ISM spectrum band. This band sharing between the technologies started toraise coexistence issues in accessing the overpopulated spectrum. The WSN powerconstrains make them vulnerable to higher power devices, such as WLAN.Simulation studies are of great importance in predicting the coexistencephenomena in heterogeneous scenarios. Simulations allows us to have aprediction on how a network will behave without the need to physically deploy thenetwork. We address the coexistence phenomena between WSN and WLAN devices and demonstratea performance comparison. We evaluate the capability of the MiXiM simulator to predictthe coexistence issues in heterogeneous networks, raised by WLAN and WSNdevices. We state the importance of having an accurate simulator to predict thephenomena. In this work, we propose a new framework for MiXiM to allow morerealistic simulation results in heterogeneous networks, when evaluating theinterference phenomena between concurrent technologies. We implement a newdefinition of custom transmission power and custom reception filter. Further,we evaluate simulation results provided by MiXiM in simulating WSN homogeneous scenariosand compare its prediction with analytical models. We implement a newsimulation paradigm in MiXiM, cross networks simulation sharing the same ISMspectrum band. We evaluate and analyse the coexistence phenomena of WLAN andWSN devices. Finally, we complete our work with the implementation of a channelsensing module, based on a fixed a priori false alarm probability, for WSNdevices. We evaluate its sensing results by comparing it with MiXiMsimplementation for channel sensing and conclude that our simple analytic modelfor sensing comply with MiXiMs implementation.
Place, publisher, year, edition, pages
2013. , 84 p.
EES Examensarbete / Master Thesis, XR-EE-LCN 2013:001
network simulation, omnet
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-116602OAI: oai:DiVA.org:kth-116602DiVA: diva2:597800