Tutorial 4: Data Management Frameworks for Sensor Networks

Speaker

Dr. Pedro José Marrón, University of Stuttgart, Germany

Abstract

The objective of the tutorial is to touch on the subject of data management frameworks for sensor networks and to explore the differences in terms of resource limitations, etc. found in sensor networks. We will deal with the current state of the art and derive some interesting research topics where the industry and academic communities can cooperate.

Outline

1. Introduction
   1. What are sensor networks?
   2. The field of data management
   3. Fitting together both worlds
2. Issues of Sensor Network applications
   1. Heterogeneous network topologies
   2. Heterogeneous hardware
   3. Heterogeneous applications
3. Generic Frameworks for Sensor Networks
   1. COUGAR
   2. TinyDB/TinyOS
   3. TinyCubus
4. (If time permits) Related Research Problems
   1. Generic Energy-saving Algorithms
   2. Cross-Layer Frameworks
5. Research Challenges
6. Conclusions

Intended audience

This tutorial is intended for researchers and industry employees that want to explore the different data management frameworks available in the research community for sensor networks.

Biography

Dr. Pedro José Marrón received his bachelor and master’s degree in computer engineering from the University of Michigan at Ann Arbor in 1996 and 1998 respectively. During his stay in Michigan, he worked as a teaching assistant in the areas of databases, compiler construction and distributed systems. At the end of 1999, he moved to the University of Freiburg in Germany to work on his Ph.D., which he received with honors in 2001. Since 2003, he works at the University of Stuttgart as senior researcher, where he leads the mobile data management and sensor network research group. His current research interests are distributed systems, mobile data management, location aware computing and sensor networks. He is member of ACM and GI.