QUERY PROCESSING WITH BERKELEY MOTES

 


Motes are tiny networked sensors with computational power developed at the U.C. Berkeley. Built using MEMS technology, the motes are capable of containing sophisticated sensors. A network of such sensors can be more efficient, flexible, and cost effective than wired sensors.

Building a network of motes poses a number of technical challenges. The motes are severely constrained in memory and processing power - each mote has a 4 mhz Atmel chip, 8 KB of program memory, 512 bytes of data memory. The motes are also battery powered so power conservation needs to be taken into account when determining the ad hoc routing protocol to use for these sensor networks. Our BOOM project focuses on another technical challenge, that of querying and getting data back from the sensors in an efficient way. Currently we ask queries for sensor data over a simple motes network and can do aggregation. Future work includes supporting more complicated query operations and interfacing with WINS sensors manufactured by Sensoria.

People involved

Much of the work was done previously by David Wu.
Current people working on this project are

 

Relevant Links

U.C. Berkeley's main tinyos page
Motes in the news 1
Motes in the news 2
This work is being done for the Cornell Database Group.
Related projects can be found at the SensIT project web page.