Abstract
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.
Highlights
In urban systems for a smart city using Wireless Sensor Network (WSN) technologies, real-time environment monitoring is essential to provide helpful information that can be used for urban management [1]
The contributions of this paper can be summarized as follows: (1) we model the minimization of the battery power consumption in mobile devices and optimize the model; (2) based on a game theoretic method, we derive the optimal strategy, which implies that the strategy can be adopted by the real urban system; and (3) we present and analyze the evaluation results under various environments
We investigated the environmental properties of the Bluetooth Low Energy (BLE)-based interaction between the mobile devices and the sensors since the BLE advertisement and the receiving ratio at mobile devices suffer from environmental situations like the height of the BLE transmitter, the distance between the mobile devices and sensors, and the moving speed of users
Summary
In urban systems for a smart city using Wireless Sensor Network (WSN) technologies, real-time environment monitoring is essential to provide helpful information that can be used for urban management [1]. Mobile devices must maintain their battery power above a certain level to communicate with sensors and the cloud server in urban systems. We propose a data acquisition system with the optimization of the battery power consumption of each mobile device. After receiving the cloud server request, each mobile device accepts the request and conducts the data acquisition considering its battery power consumption. The contributions of this paper can be summarized as follows: (1) we model the minimization of the battery power consumption in mobile devices and optimize the model; (2) based on a game theoretic method, we derive the optimal strategy, which implies that the strategy can be adopted by the real urban system; and (3) we present and analyze the evaluation results under various environments.
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