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In Wireless Sensor Networks (WSNs), the frequency of sensing and data gathering depends on application requirements and surrounding conditions. In this paper, the authors propose a data gathering scheme adaptive to sensing requirements for WSNs composed of sensor nodes with multiple sensing capabilities. To accomplish self-organizing control, they 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, they confirm that autonomous and energy-efficient data gathering can be accomplished satisfying dynamically changing sensing requirements.
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