CEET: Cooperative Energy Efficient Tracking System using Smartphones

Yousef Ali, U. Baroudi
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引用次数: 2

Abstract

The technological advances in smartphones have brought promising potentials to tracking systems. GPS and WLAN are widely used technologies in recent smartphones for positioning and communication, respectively. However, both GPS and WLAN have serious energy consumption problem. For large scale tracking systems, where tracked people are supposed to move in groups, the continuous usage of the individual smartphones GPS and WiFi is not an energy efficient solution. In this work, we propose a cooperative approach that exploits the coexistence of of multiple communication interfaces (WiFi and Bluetooth) in recent smartphones where nearby smartphones are cooperatively grouped to form a cluster. A cluster is a network of one dynamically selected cluster head and regular members that communicate locally via Bluetooth. The cluster head is responsible of positioning and sharing positioning information with the rest of cluster members. It, also, acts as a gateway between its regular members and the server. We present a clustering approach according to the available energy and the energy cost. Our approach doesnt require any modifications in the recent smartphones equipment. We have formulated the clustering construction problem as a mixed integer program using GAMS. The proposed clustering approach has been evaluated via extensive simulation experiments and the obtained results have been compared with the optimal solution which show very close performance.
CEET:智能手机协同节能跟踪系统
智能手机的技术进步为追踪系统带来了巨大的潜力。GPS和WLAN分别是最近智能手机中广泛使用的定位和通信技术。然而,GPS和WLAN都存在严重的能耗问题。对于大规模的跟踪系统来说,被跟踪的人应该成群结队地移动,连续使用个人智能手机的GPS和WiFi并不是一个节能的解决方案。在这项工作中,我们提出了一种合作方法,利用最近的智能手机中多个通信接口(WiFi和蓝牙)的共存,其中附近的智能手机协作分组形成集群。集群是由一个动态选择的集群头和通过蓝牙进行本地通信的常规成员组成的网络。集群头部负责定位,并与集群其他成员共享定位信息。它还充当其常规成员和服务器之间的网关。提出了一种基于可用能量和能量成本的聚类方法。我们的方法不需要对最近的智能手机设备进行任何修改。我们利用GAMS将聚类构造问题表述为一个混合整数规划。通过大量的仿真实验对所提出的聚类方法进行了评估,并将所得结果与最优解进行了比较,结果显示出非常接近的性能。
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