An Autonomous Data Gathering Scheme Adaptive to Sensing Requirements for Industrial Environment Monitoring

Abstract

In wireless sensor networks (WSNs), the frequency of sensing and data gathering depends on application requirements and surrounding conditions. In this paper, we propose a data gathering scheme adaptive to sensing requirements for WSNs composed of sensor nodes with multiple sensing capabilities. To accomplish self-organizing control, we adopt the response threshold model for adaptive sensing task engagement and the pulse-coupled oscillator model for energy-efficient transmission and sleep scheduling. Through preliminary simulation experiments, we confirm that autonomous and energy-efficient data gathering can be accomplished satisfying dynamically changing sensing requirements.