A General Theory of Signal Integration for Fault-Tolerant Dynamic Distributed Sensor Networks
Annual rept. no. 2, 1 Oct 1991-30 Sep 1992,
LOUISIANA STATE UNIV BATON ROUGE DEPT OF COMPUTER SCIENCE
Pagination or Media Count:
The computational issues related to information integration in multisensor systems and distributed sensor networks has become an active area of research. In recent years a number of significant advances in the field of sensor integration have been made. This interest in the development of Distributed Sensor Networks DSNs for information gathering has partly emerged because of a the availability of new technology which makes the DSNs economically feasible to implement and b the increasing complexity of todays information gathering tasks to which they are applied. From a computational viewpoint, the efficient extraction of information from noisy and faulty signals emanating from many sensors requires the solution of problems related to a the architecture and fault-tolerance of the distributed sensor network, b the proper synchronization of sensor signals, c the integration of information to keep the communication and the processing requirements small, and d the design of efficient computational techniques to abstractly represent and integrate sensor information. The following issues were studied and worked upon this year 1 Computational frameworks for distributed sensing and fault-tolerant sensor integration. 2 Design of fault-tolerant architectures for distributed sensor integration. 3 Computational complexities of the problem of distributed detection. 4 Wavelet based distributed sensing and fault-tolerant sensor integration. 5 Issues related to recording of events and synchronization in distributed sensor networks.
- Information Science
- Electricity and Magnetism