This research advances Wireless Sensor Network (WSN) theories in support of the exploration and mapping of Mars. A Mars Tumbleweed Rover is designed to use wind to propel a network of sensors across the Martian surface. While navigating the surface of Mars, the rovers' collect, aggregate, and communicate environmental and spatial sensor data. The Mars Tumbleweed program envisions releasing numerous autonomous rovers packed with sensors into a remote, desolate, and harsh dynamic environment, requiring a self-configurable, adaptable Wireless Sensor Network. This research examines the probability of sensor data loss between rovers as the range between them increases over time. The research shows the potential of selecting different network parameters to minimize the total power required to sense, process, and transmit data back to a base station. The impact of utilizing probabilistic analysis allows for optimal methods in the design of the WSN to better manage power consumption and maximize data collection over the course of the node lifetime. The research establishes a basic framework from which the general rules of power and network node distance can be established.
This chapter presents a call to action grounded in a graduate student clinical program at the Wisconsin Center for Education Research (WCER) at the University of Wisconsin‐Madison. The WCER Clinical Program (wcerclinicalprogram.org) creates a reciprocal space where graduate students and community‐based partners develop and practice connections between research, evaluation, practice, and policy through applied projects in the community, in real time, in real contexts, and with real impact. The Evaluation Clinic evolved from two primary needs: systematic and applied learning in Culturally Responsive and Equitable Evaluation (CREE) for graduate students in the School of Education; and accessible, high‐quality evaluation from WCER for local community‐based partners. Our ultimate vision is that people and organizations have the capacity to critically reflect on and mobilize knowledge to support equitable opportunities and outcomes.
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