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浙江大学学报(工学版)
Journal of ZheJiang University (Engineering Science)  2020, Vol. 54 Issue (10): 1915-1922    DOI: 10.3785/j.issn.1008-973X.2020.10.007
    
Design and implementation of mobile crowdsensing platform
Jia-hao LIAO1(),Zhi-wen YU2,*(),Yi-meng LIU2,Bin GUO2
1. School of Software, Northwestern Polytechnical University, Xi’an 710129, China
2. School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China
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Abstract  

The mobile crowdsensing platform was designed and application development work was completed using Android in order to utilize the idle sensing resources of mobile devices. The sensor type of mobile smart devices was adapted and the multi-source sensing data was obtained to complete the sensing task with the application. The task template was used to guide the user to publish the task and simplify the task publishing process. The multi-domain and multi-type sensing data were collected for tasks. The application was developed using the model-view-controller (MVC) pattern. Two user interface page levels and five functional modules were designed. The core function of this application was the task publishing and reception, which enabled users to act as task publishers and publish the current unsolved problems as sense tasks on the mobile crowdsensing platform. The user could be a task receiver, receiving and completing the sensing task. The application maintained good response speed and performance in the simulation experiment while application showed one thousand sensing tasks.

Key words： mobile crowdsensing      sensor      software application design and development      Android application      SQLite database     
Received: 16 December 2019      Published: 28 October 2020
CLC:  TP 311  
Corresponding Authors: Zhi-wen YU     E-mail: liaojh@mail.nwpu.edu.cn;zhiwenyu@nwpu.edu.cn
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Jia-hao LIAO
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Cite this article:

Jia-hao LIAO,Zhi-wen YU,Yi-meng LIU,Bin GUO. Design and implementation of mobile crowdsensing platform. Journal of ZheJiang University (Engineering Science), 2020, 54(10): 1915-1922.

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http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2020.10.007     OR     http://www.zjujournals.com/eng/Y2020/V54/I10/1915


移动群智感知平台设计与实现

为了利用移动智能设备上闲置的传感器资源，对移动群智感知平台应用进行设计，在Android系统下完成应用开发工作. 应用程序可以适配移动智能设备具备的传感器类型，获取多源传感数据完成感知任务；使用任务模版引导用户发布任务的方式，简化任务发布过程，能够面向多领域、多类型的感知任务完成传感数据收集. 框架设计模型－视图－控制器（MVC）模式，设计了2个用户界面层次和5个功能模块. 核心功能为感知任务的发布与接收，能够让使用者作为任务发布者，将当前待解决的问题作为感知任务在移动群智感知平台上发布；能够让使用者作为任务接受者领取并完成感知任务. 应用程序在1 000个感知任务显示的仿真实验下，保持良好的响应速度和性能.


关键词： 移动群智感知,  传感器,  软件设计与开发,  Android应用,  SQLite数据库 
Fig.1 Application’s framework design
Fig.2 Functions design of mobile crowdsensing platform application
Fig.3 Application’s page-hierarchy design
Fig.4 Encapsulation class of application’s sensing function
Fig.5 Types of sensing task releasing templates
Fig.6 MainController’s function
名称 定义
NETWORK_PROVIDER 根据蜂窝网络和WiFi接入点确定位置数据
GPS_PROVIDER 使用卫星提供位置数据
PASSIVE_PROVIDER 通过其他应用发送位置请求，被动接收位置数据
FUSED_PROVIDER 混合模式
Tab.1 Position sensor Provider types
性能指标 CPU占比 内存/MB 耗能
测试1 5%~10% 188±2 中低
测试2 6%~15% 185±5 低
测试3 7%~10% 187±2 低
测试4 7%~11% 188±4 低
综合 5%~10% 180~190 低
Tab.2 Pressure test results of showing 10 sense tasks in app
性能指标 CPU占比 内存/MB 耗能
测试1 6%~11% 185±2 低
测试2 6%~10% 186±3 低
测试3 7%~12% 187±2 低
测试4 5%~11% 185±4 中低
综合 6%~12% 181~189 低
Tab.3 Pressure test results of showing 100 sense tasks in app
性能指标 CPU占比 内存/MB 耗能
测试1 6%~13% 187±3 低
测试2 8%~10% 185±2 中低
测试3 6%~17% 185±5 低
测试4 8%~12% 187±3 中低
综合 6%~13% 183~190 低
Tab.4 Pressure test results of showing 1 000 sense tasks in app
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