A General Theory of Signal Integration for Fault Tolerant Distributed Sensor Networks
Abstract
The computational issues relating to information integration by multisensor systems and distributed sensor networks are an area of intense ongoing research. Many significant advances have been made recently in the field of sensor integration. This interest in Distributed Sensor Networks (DSNs) technology for information gathering is at least partially due to: (a) the development of new technology making DSNs economically feasible to implement and (b) the growing complexity of information gathering applications. The extraction and fusion of accurate information from the noisy and faulty signals returned by many sensors requires the resolution of many problems including: (a) the architecture of fault-tolerant and robust distributed sensor networks, (b) the reliable synchronization of sensor signals, (c) the efficient integration of information in order to minimize communications and processing overhead, and (d) the development of efficient computational tools for abstract representation and integration of sensor data. The sensor fusion process is of interest for the process of human decision making as well as for its applications within automated systems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 1994
- Accession Number
- ADA284825
Entities
People
- Brandon A. Jones
- Sundaraja Sitharama Iyengar
Organizations
- Louisiana State University