Showing papers on "Wireless sensor network published in 1983"

Distributed Estimation in the MIT/LL (Massachusetts Institute of Technology/Lincoln Laboratory) DSN (Distributed Sensor Networks) Test-Bed,

Abstract: : This paper describes the acoustic tracking algorithms currently used in the MIT Lincoln Laboratory (MIT/LL) Distributed Sensor Networks (DSN) test-bed. It discusses the original motivation for inclusion of various features in those algorithms and the lessons learned about those features through experimentation with real and simulated data. Plans for modifications to the detection and tracking algorithms are briefly sketched. A DSN is a surveillance and tracking system employing many geographically dispersed sensor/processor nodes connected by a computer communications network and implemented as a confederacy of identical autonomous cooperating processes.

Distributed sensor network

Abstract: : The Distributed Sensor Networks (DSN) program is aimed at developing and extending target surveillance and tracking technology in systems that employ multiple spatially distributed sensors and processing resources. Such a system would be made up of sensors, data bases, and processors distributed throughout an area and interconnected by an appropriate digital data communication system. Surveillance and tracking of low-flying aircraft has been selected to develop and evaluate DSN concepts in the light of a specific system problem. A DSN test bed that will make use of multiple small acoustic arrays as sensors for low- flying aircraft surveillance is being developed and will be used to test and demonstrate DSN techniques and technology. This Semiannual Technical Summary (SATS) reports results for the period 1 October 1982 though 31 March 1983. Initial validation tests of a three-node message-based distributed acoustic surveillance system were conducted during this reporting period. The system consisted of three test-bed nodes interconnected and controlled by a separate experiment control and communication (ECC) computer. In addition to providing message based internodal communications, the ECC also serves as a system user interface. Improvements needed to support detailed distributed system experiments were identified and have been partially implemented.

Distributed Hypothesis Formation in Distributed Sensor Networks

Abstract: : This report presents research results on distributed situation assessment in a distributed sensor network (DSN). The area of multitarget tracking and classification has been chosen to investigate issues associated with distributed hypothesis formation and evaluation. A general theory for Bayesian multitarget tracking has been developed. This is used as the basis for specifying the processing architecture at each node in the DSN. Each node contains the Generalized Tracker/Classifier for processing of local sensor data, an information fusion module to integrate processed information from various nodes, and an information distribution module. The problem of removing redundant information in a general distributed estimation system has also been investigated. Simulation results to study various issues associated with distributed situation assessment are presented.