Terracorder：感知长久与繁荣
Terracorder: Sense Long and Prosper
AI总结：
本文提出多功能多传感器设备Terracorder，利用设备端强化学习调度器实现超低功耗，在生物多样性监测中捕获超80%事件且激活次数减半，并扩展至协作调度以优化网络整体功耗与鲁棒性。
摘要：
原位传感设备需在偏远环境中长期部署；最小化其功耗对于最大化运行寿命和覆盖范围至关重要。我们介绍了Terracorder——一种多功能多传感器设备——并展示了其使用设备端强化学习调度器实现的超低功耗。我们为生物多样性监测构建了独特的设备原型，并使用我们的调度器与多种固定调度方案比较了电池寿命；该调度器捕获了超过80%的事件，且激活次数不到表现最佳的固定调度方案的50%。随后，我们探讨了协作调度器如何最大化设备网络的有效运行，从而改善整体网络功耗与鲁棒性。
英文摘要：
In-situ sensing devices need to be deployed in remote environments for long periods of time; minimizing their power consumption is vital for maximising both their operational lifetime and coverage. We introduce Terracorder -- a versatile multi-sensor device -- and showcase its exceptionally low power consumption using an on-device reinforcement learning scheduler. We prototype a unique device setup for biodiversity monitoring and compare its battery life using our scheduler against a number of fixed schedules; the scheduler captures more than 80% of events at less than 50% of the number of activations of the best-performing fixed schedule. We then explore how a collaborative scheduler can maximise the useful operation of a network of devices, improving overall network power consumption and robustness.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
