In this chapter, we focus exclusively on our work on gathering data from a large number of sources in the stadium. In the theoretical work reported here, we are particularly interested in minimizing the time and energy required to gather data from many different sensor nodes. There is a parallel effort, reported elsewhere, to take the results of our theoretical research and turn them into real systems that we deploy in the stadium and study when they are used during the sporting events paces. Our current efforts include: Gathering video and data from the game to share with fans in the stands via web applications that enable on-demand access to multimedia content, including video-clips of plays, visualization of game events, and game/player stats. Developing wireless sensor networks to monitor structural vibrations of the stadium and audio of the crowd. An extreme emitter density test bed for RF spectrum sensing and cross-layer localization of wireless devices. Analytical models and associated algorithms for collecting, processing, and communicating very large amounts of data for detection, estimation, and other tasks.
Energy-efficient clustering and collision-aware distributed detection/estimation in random-access-based WSNs, Page 1 of 2
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