WHAT
Energy is a major resource constraint in wireless networks of sensors. These sensors are typically small form factor devices that run on batteries. In this paper, we address the problem of con serving limited energy so as to maximize the operational lifetime of the sensor network. Various measurement studies have shown that wireless communication is the dominant consumer of en ergy in sensor networks. We propose a robust information-driven data compression architecture (RIDA) that allows a sensor network to conserve energy by reducing the total number of data bits transmitted through the network. The architecture uses a mapping that assigns sensors logical indices based on sensor data to improve the performance of existing compression techniques. In addition, we propose and implement a resiliency mechanism to address the unreliability of sensor networks. Our simulations and experiments on real data show that a sensor network using our architecture can eliminate 80% of its energy consumption compared to networks not using the ar chitecture. Furthermore, the architecture peforms well even when half of the sensor data is missing.
FUNDED BY
National Science Foundation
WHO
Thanh Dang,Nirupama Bulusu,and Wu-chi Feng
HOW
The architecture uses a mapping that assigns sensors logical indices based on sensor data to improve the performance of existing compression techniques. In addition, we propose and implement a resiliency mechanism to address the unreliability of sensor networks.
PUBLICATIONS
1. Thanh Dang, Nirupama Bulusu, and Wu-chi Feng, "RIDA: A Robust Information-driven Data Compression Architecture for Irregular Wireless Sensor Networks", In Proceedings of EWSN 2007,
LIMITATIONS
This architecture is not guarantee to work in a mobile sensor network.
CURRENT STATUS
The project is currently active.
OTHERS