Accession Number:

ADA243256

Title:

A General Computational Framework for Distributed Sensing and Fault-Tolerant Sensor Integration

Descriptive Note:

Corporate Author:

LOUISIANA STATE UNIV BATON ROUGE DEPT OF COMPUTER SCIENCE

Personal Author(s):

Report Date:

1991-01-01

Pagination or Media Count:

20.0

Abstract:

The design of Distributed Sensor Networks has to take into consideration sensor failures that occur while functioning in the real physical world. This demands a technique of integration of sensor information that is fault tolerant so that the network is reliable for target recognition and tracking problems. An earlier paper proposed a computational characterization of fault tolerant integration of abstract sensors that were 1-interval estimates. This paper proposes an abstract framework to address the general problem of fault tolerant integration of sensor information in a general distributed sensor network. The essential ideas of this abstract framework stem from certain rudimentary notions in the theory of differentiable manifolds. This framework addresses a very general distributed sensor network both at the local level of sensor data integration at distributed processors as well as global exchange and assimilation of information available at various processors in the network.

Subject Categories:

  • Fire Control and Bombing Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE