Internships at WSN Lab
The WSN Lab sponsored by Pirelli and Telecom Italia, located in Downtown Berkeley near the University campus, develops wireless sensor networks technologies for applications in automotive, building management, and assisted living.
There are five Internships available, extending between 3 and 6 months.
The Intern will have the opportunity to contribute to the SPINE open source project that is developed by a community of researchers in the academia and the industry. (Options 2, 3 and 4)
The options are as follow:
1) Wireless Protocol Design for Automotive Applications
In-vehicle networking is a method of transferring data among distributed electronic modules via a serial bus. As the electrical content of the vehicles is increasing, the need for networking and applying new technologies to networking becomes more evident. The length and weight of wiring in vehicles is tremendous, also creating problems in the reliability of the resulting number of connectors. Moreover, multiple networks in a single vehicle are becoming common to optimize the costs of the data access due to different communication needs of different applications. The goal of the project is to design a wireless communication protocol for a sub network in a vehicle addressing the requirements of a subset of these applications. This application subset is to be chosen based on matching the challenges of wireless communication in vehicle environment to the application requirements.
Desired knowledge and skills:
- Communication protocol design
- Wireless communication
- Communication modeling in MATLAB/SIMULINK
2) Diary of activities prototype
The goal of the project is to build a prototype system for the recognition of the daily activities of a person. The project requires to define, implement and test a classification algorithm based on the data collected by sensors placed on the human body and in the environment.
Desired knowledge and skills:
- Programming experience in the TinyOS environment
- Knowledge of data analysis and classification techniques
3) Gait analysis prototype
The goal of the project is to build prototypes for gait analysis in ergonomics, rehabilitation and therapy monitoring applications. The project will require to develop and test algorithms using TinyOS or commercial boards that include accelerometers and gyroscopes. The implementation will be built upon the SPINE Framework.
Desired knowledge and skills:
- Programming experience in the TinyOS environment
- Knowledge of data analysis and classification techniques
4) Multi-sensor data fusion architecture
Most advanced health care and assisted living applications require to derive user-level information from data gathered by multiple sensors, possibly of different type. Multi-sensor data fusion requires techniques for QoS-based service composition, data aggregation and synchronization.
The goal of this project is to extend the SPINE framework adding support for multisensor data fusion. The project will require to define and implement a multi-sensor service architecture and apply it to design a health & fitness application.
Desired knowledge and skills:
- Programming experience in the TinyOS environment
- Background in at least one of the following areas: service architecture, performance analysis, data classification
5) Implementation of Duty-Cycled Routers in ZigBee
The goal of the project is to implement duty-cycled routers in ZigBee protocol stack. ZigBee currently supports low power end devices and mains powered routers, which limit the sensor network topology by the position of the power supply plugs. The project requires first the implementation of ZigBee protocol stack then low power MAC protocol based on duty cycling and preamble sampling on top of ZigBee. As an output of the activity, a contribution to the ZigBee standard and
addressing interesting research problems such as optimization of protocol parameters and synchronization for duty cycled MAC protocols are expected.
Desired knowledge and skills:
- Knowledge of ZigBee and IEEE 802.15.4 protocol stacks
- Programming experience in the TinyOS environment
If interested in applying for any of the above internships, please send your resume to:
Marco Sgroi: marco.sgroi (A T) wsnlabberkeley (dOt)com or
Sinem Ergen: sinem.ergen(aT)wsnlabberkeley(dot)com
