In urban monitoring systems, mobile sensing is imperative to acquire data from sensors and relay them to a cloud server. Mobile devices can be used anytime and anywhere, enabling communication with pervasive sensing in various conditions to obtain the data. Reliable data acquisition has been required in urban monitoring systems from the macroscale to the microscale. However, a broadcast method for the data acquisition process may lead to the increased battery power consumption of mobile devices. Managing the battery power consumption of mobile devices is essential for reliable data acquisition. In this paper, we propose an urban monitoring system with an optimization algorithm in which a cloud server broadcasts a communication request that includes battery power consumption and the data acquisition quantity of mobile devices. Game theoretic optimization is formulated with a decision process. We derive a best response and Nash equilibrium for mobile communication with sensors and a cloud server. Evaluation results demonstrate that the proposed system can guarantee a low battery power consumption, as well as acquire the desired data quantity.

中文翻译：

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基于移动的传感方案，可最大程度地减少城市监控系统的电池功耗

在城市监控系统中，必须通过移动感应从传感器获取数据并将其中继到云服务器。移动设备可以随时随地使用，从而可以在各种条件下与普遍感应进行通信以获得数据。从宏观到微观，城市监控系统都需要可靠的数据采集。但是，用于数据获取过程的广播方法可能导致移动设备的电池功耗增加。管理移动设备的电池功耗对于可靠的数据采集至关重要。在本文中，我们提出了一种具有优化算法的城市监控系统，其中云服务器广播通信请求，该请求包括电池电量消耗和移动设备的数据采集量。博弈论优化是由决策过程制定的。对于与传感器和云服务器的移动通信，我们得出了最佳响应和纳什均衡。评估结果表明，所提出的系统可以保证较低的电池功耗，并可以获取所需的数据量。