Unified Power Management for Collaborative Wireless Sensor Networks

Project: Research

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Recent years have seen the deployment of wireless sensor networks (WSNs) in a variety of applications such as asset management, environment monitoring, health care, building automation, and surveillance. The success of these applications hinges on the following: (i) nodes must effectively collaborate with each other to achieve complex sensing and communication tasks, as each node has very limited capability; and (ii) due to limited power supplies (e.g., batteries), network power consumption must be minimized to achieve the long lifetime required by applications.This project investigates novel approaches that can minimize the power consumption of WSNs while maintaining desired network performance. In contrast to previous studies that addressed sensing and communication requirements separately, the researchers integrate them into unified power management models. They will investigate two power management problems based on stochastic and collaborative sensing models: (i) minimum-power network topology that enables collaborating nodes to achieve desired data fusion performance; and (ii) delay-efficient sleep schedules that minimize nodes’ idle power consumption in data fusion. Localized network protocols will be developed by exploring the fundamental relationship between sensing and communication of WSNs. The results are expected to enable a wide range of WSN applications to achieve assured performance throughout an extended network lifetime.


Project number9041266
Grant typeGRF
Effective start/end date1/08/073/09/10