DISTRIBUTED EXTRACTION OF INFORMATION FROM LARGESCALE WIRELESS SENSOR NETWORKS

UDC 004.9
DOI: 10.36871/2618-9976.2021.09.001

Authors

James Brucie
Cohent Center for Applied Computer Research, Coventry University, CV1 5FB, UK
Tessa Daniel
Cohent Center for Applied Computer Research, Coventry University, CV1 5FB, UK
Elena Gaura
Cohent Center for Applied Computer Research, Coventry University, CV1 5FB, UK
John Halloran
Cohent Center for Applied Computer Research, Coventry University, CV1 5FB, UK

Abstract

The article discusses distributed information extraction from large-scale wireless sensor networks. The first subsection identifies a family of applications that could benefit from a higher-level information retrieval and delivery mechanism integrated into the WSN, and discusses the state of the art of deployment in a particular application. The following describes the requirements for an integrated high-level information retrieval engine and provides an overview of the prior art in complex queries and processing on a network. The next subsection defines WSN topologies, architectures and protocols suitable for modern information systems; this is followed by a description of a new hybrid approach called a distributed complex query processor.

Keywords

Information extraction
Wireless sensor networks
Macro programming
Network information processing
Information architecture