Analytical Analysis of Data and Decision Fusion in Sensor Networks

- MEMS technology has improved such that the capabilities of large sensor devices can now be encompassed in devices that are the size of a penny. These resource constraint devices are confronted with the challenges of ensuring accuracy of observations while conserving power resources. This paper analyzes the two modes of collaborative signal processing employed in sensor networks, namely, data fusion and decision fusion, to achieve greater accuracy. A breakdown of the computation and communication complexity is presented for each fundamental step of data and decision fusion processes, to help in identifying features for possible optimization. We show that a tradeoff exists between the two approaches depending on the underlying application domain.

• Type: Conference
• Year: 2004
• Where: CSREAESA
• Authors: Zille Huma Kamal, Mohammad Ali Salahuddin, Ajay K. Gupta, Mark Terwilliger, Vijay Bhuse, Benjamin Beckmann
• Keywords: CSREAESA 2004, CSREAESA 2007, Decision Fusion, Large Sensor Devices, Resource Constraint Devices