Muzammil Hussain
Interests
Sensor networks, Localization techniques, Underwater simulation and modeling.Biography
I am final year doctoral student working in the area of localization techniques for robots in cluttered environments. For my thesis I demonstated the novel application of distributed multi-hop localization techniques in localizing robots in cluttered obstacle-prone environments, in lieu of single hop localization that yeilds large positional errors. I developed localizer placement algorithms for improving the localization accuracy of multi-hop DV-Distance technique which leads to a fewer, more practical required number of localizers. I have also developed a novel technique to characterize NLOS distance bias via the analysis of clutter topologies.
I am part of the AASN4IP project. Previously, I did a Masters in Computer Science from SUNY Buffalo.
Selected Publications
-
Adaptive Node Placement for Improving Localization Accuracy in Clutter−Prone Environments
Muzammil Hussain and Niki Trigoni
In IEEE Wireless Communication and Networking Conference (WCNC). 2013.
Details about Adaptive Node Placement for Improving Localization Accuracy in Clutter−Prone Environments | BibTeX data for Adaptive Node Placement for Improving Localization Accuracy in Clutter−Prone Environments | Download (pdf) of Adaptive Node Placement for Improving Localization Accuracy in Clutter−Prone Environments
-
Acoustic Sensor Networks for Decommissioning
T.A. York‚ P.N. Green‚ P.R. Green‚ A. Phasouliotis‚ Z. Qu‚ S. Watson‚ M. Hussain‚ S. Nawaz‚ N. Trigoni and S. Stanley
In Measurement and Control Vol 45‚ Issue 2‚ pp. 48 − 54. March, 2012.
Details about Acoustic Sensor Networks for Decommissioning | BibTeX data for Acoustic Sensor Networks for Decommissioning | Download Acoustic Sensor Networks for decommissioning.pdf of Acoustic Sensor Networks for Decommissioning | Download Acoustic Sensor Networks for Decommissioning.pdf of Acoustic Sensor Networks for Decommissioning | Link to Acoustic Sensor Networks for Decommissioning
-
Characterization of Non−Line−of−Sight (NLOS) Bias via Analysis of Clutter Topology
Muzammil Hussain‚ Yusuf Aytar‚ Andrew Markham and Niki Trigoni
In IEEE/ION Poisition Location and Navigation Symposium (PLANS) 2012. 2012.
Details about Characterization of Non−Line−of−Sight (NLOS) Bias via Analysis of Clutter Topology | BibTeX data for Characterization of Non−Line−of−Sight (NLOS) Bias via Analysis of Clutter Topology | Download (pdf) of Characterization of Non−Line−of−Sight (NLOS) Bias via Analysis of Clutter Topology