effSense: energy-efficient and cost-effective data uploading in mobile crowdsensing
effSense: energy-efficient and cost-effective data uploading in mobile crowdsensing
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DOI：
10.1145/2494091.2499575
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发表时间：
2013-09
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影响因子：
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通讯作者：
Leye Wang;Daqing Zhang;Haoyi Xiong
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文献类型：
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作者：
Leye Wang;Daqing Zhang;Haoyi Xiong
能量消耗和移动的数据成本是影响用户参与众测任务意愿的两个关键因素。数据套餐用户最关心的是能源消耗，而非数据套餐用户对数据传输成本更敏感。传统的移动的人群感知数据采集方式往往走向两个极端：要么实时在线上传感知数据，要么在整个感知任务完成后完全离线。在本文中，我们提出了effSense -一种新的能源效率和成本效益的数据上传框架，利用延迟容忍机制。具体而言，effSense通过将数据最大限度地卸载到蓝牙/WiFi网关或数据计划用户来将数据中继到服务器，从而降低了非数据计划用户的数据成本;它通过与呼叫并行上传数据或使用能耗较低的网络（例如蓝牙）来降低数据计划用户的能耗。通过利用对关键事件的预测，例如用户未来的呼叫或遭遇，effSense为这两种类型的用户选择最佳上传方案。在MIT Reality Mining和Nodobo数据集上的测试结果表明，与传统的上传方案相比，effSense可以为两类用户分别节省55%~65%的能量和45%~50%的数据开销。
Energy consumption and mobile data cost are two key factors affecting users' willingness to participate in crowdsensing tasks. While data-plan users are mostly concerned about the energy consumption, non-data-plan users are more sensitive to data transmission cost incurred. Traditional ways of data collection in mobile crowdsensing often go to two extremes: either uploading the sensed data online in real-time or fully offline after the whole sensing task is finished. In this paper, we propose effSense - a novel energy-efficient and cost-effective data uploading framework leveraging the delay-tolerant mechanisms. Specifically, effSense reduces the data cost of non-data-plan users by maximally offloading the data to Bluetooth/WiFi gateways or data-plan users encountered to relay the data to the server; it reduces energy consumption of data-plan users by uploading data in parallel with a call or using less-energy demand networks (e.g. Bluetooth). By leveraging the prediction of critical events such as user's future calls or encounters, effSense selects the optimal uploading scheme for both types of users. Our evaluation with MIT Reality Mining and Nodobo datasets show that effSense can save 55%~65% energy and 45%~50% data cost for the two types of users, respectively, compared with the traditional uploading schemes.