PRASANNA BALLAL

My Research Interests

Decision Making in Mobile Wireless Sensor Networks

Decision-making plays an important role in mobile wireless sensor networks. It is used in sensor fusion to convert raw data from the sensors to events. This research aimed at using Petri Nets for task planning and use of Dempster Shafer Theory for decision-making in Sensor Networks. A matrix formulation that allows easy simulation and implementation was developed.

Sound and Vibration analysis for Condition Based Maintenance

This research aims to improve the sound and vibration toolkit by Labview. It involves taking data from various sensors and giving a Graphical User Interface for analysis such as FFT, Kurtosis, Filtering etc. It also provides web access and PDA access which makes our module very user friendly.

LabVIEW toolkit for TinyOS

LabVIEW toolkit developed for TinyOS offers ease of programming wireless sensor such as mica2. The GUI is user-friendly and intuitive. For more details click here.

Some Academic Projects:

Digital Signal Processing - Projects dealing with basics of DSP such as Convolution, Filtering and Smoothing of digital data using Matlab & LabVIEW. Various projects for optimal estimation, Kalman filtering, FFT, Wiener filtering and statistical signal processing, Dempster-Shafer, Wavelets and Filter Banks, etc. 

Digital Image Processing - Projects in Image Compression and Enhancement using Matlab’s Image Processing Toolkit. 

Intelligent Control Systems – Decision making systems, anti-windup controllers, servo control, path planning for non-holonomic mobile robots, Condition Based Monitoring of machines: involved in projects for fault detection, prognosis and diagnosis of fault conditions of machines, Discrete Event Systems: Petri nets, finite state machines.

 

Control System Design – LabVIEW based Speed control of three DC motors using single analog output PCI 1200 DAC channel. Design of second order transfer function using RC and OpAMP model, controlling the output signal using PID controller. RC and OpAMP circuit simulated using Pspice.

 

Nonlinear Adaptive Control - Nonlinear adaptive control of robotic manipulators using nonlinear feedback linearization with neural networks, sliding control and backstepping. Modeling and controlling nonlinear systems and hardware in the loop testing (HIL). 

Embedded Microcontrollers - PC based device control embedded system using DMX512 protocol. Microchip PIC 18F452 was used for the project. 

Fuzzy Logic - Sensor fusion and Ad Hoc network routing decision using Fuzzy Logic controller. 

Wireless Sensor Networks - Design and implementation of RSSI based grid localization of wireless MEMS sensors using LabVIEW and Crossbow Technologies Mica2 sensors. Design and development of high sampling rate wireless sensor module using PIC18f4550 microcontroller and Jennic JN5121 wireless microcontroller and using IEEE MAC 802.15.4 and Zigbee protocols. 

DSP Microprocessors - Reconstruction of a sinusoidal waveform via PWM, Implementing a Digital FIR Filter, Digital Control of a 3-phase Permanent Magnet Synchronous Motor using Voltage Invertor and Space Vector PWM technique using a TI TMS320C2812 DSP.  

VHDL - Design and implementation of a digital lock system on Xilinx Spartan-3 FPGA.  

LabVIEW toolkit for WSN - Toolkit developed in LabVIEW for programming, easy data access and processing of the Crossbow Technologies mica2 sensors. 

Wireless Networks: Development of graph theoretical methods for data fusion and signal processing using Belief Theory and Kalman Filtering.