The unique combination of sensors holds promise for increasing accuracy and reducing burden associated with collecting individual-level activity and physiological data under real-world conditions, but significant data processing issues remain. Such data will provide new opportunities to explore the impacts of human geography and daily lifestyle on health at a fine spatial/temporal scale.

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Recently, ultra-dense low earth orbit (LEO) satellite constellation over high-frequency bands has considered as one of promising solutions to supply coverage all over the world. Given satellite constellations, efficient beam coverage schemes should be employed at satellites to provide seamless services and full-view coverage. In LEO systems, hybrid wide and spot beam coverage schemes are generally used, where the LEO provides a wide beam for large area coverage and additional several steering spot beams for high speed data access. In this given setting, scheduling multiple spot beams is essentially required. In order to achieve this goal, Vickery-Clarke-Groves (VCG) auction-based trustful algorithm is proposed in this paper for scheduling multiple spot beams for more efficient seamless services and full-view coverage.

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