SIRLAB-NETSIG integration for environmental surveillance monitoring in wireless mesh sensor networks

Abstract

This paper presents a framework for integrating, in a unified manner (a single architecture), distributed signal processing and wireless mesh sensor network operations for environmental surveillance monitoring applications. The distributed signal processing operations center on the use of time-frequency tools for the analysis of bioacoustic signals and their representations. The wireless mesh sensor network operations center on the efficient transfer of information content from a source to a user through wireless communications optimization techniques under a versatile service oriented paradigm. An open source computational modeling framework, named SIRLAB, was developed to address time-frequency signal analysis and representation in a distributed signal processing, wireless mesh sensor network, environment. An embedded computing module, termed NETSIG, was developed to integrate wireless mesh network routing, coding, and security tasks with adaptive, large-scale, high-bandwidth, signal processing tasks. The integrated SIRLAB-NETSIG concept was tested in the laboratory, with user interface visualization applications being developed on portable digital assistants utilized as network clients. Frame rates close to 30 frames per second where achieved for some user interface visualization operations in a wireless mesh cloud testbed.