物联网通过感知技术实现物品与互联网的连接,云计算通过对共享资源的灵活整合和动态配置为用户提供面向需求的服务。基于上述背景,定义了植入城市计算的基本概念和功能框架,以植入城市计算应用场景为研究对象,比较了物联网技术与传统方法的数据采集、服务提供,论述了在人与环境交互中的感知应用部署、数据捕获、信息传播,阐述了云计算面向用户提供的数据管理服务、感知应用服务、位置查询服务。围绕植入城市计算的安全和隐私问题,对RFID隐私保护和身份认证、无线传感器网络密钥管理、参与感知隐私匿名化、云计算可信访问控制等进行了分析,并提出了进一步的研究方向。
Internet of things realizes connecting of internet with anythings by sensing technology. Cloud computing pro- vides requirement-oriented application service for users by sharing resources of flexible integration and dynamic configu- ration. The basic concept and function architecture was definited for embedded urban computing based on above-men- tioned background. Taking application scenarios of embedded urban computing as the studying object, this paper com- pared data collecting and service provision between Internet of Things technology and traditional mode, dissertated sens- ing application deployment, data capturing, information spreading for human interacting with environment, elaborated user-oriented data management service, sensing application service, location query service provided by cloud computing, analyzed privacy protection and identity authentication for RFID, key management for wireless sensor network, privacy anonymized for participatory sensing, trusted access control for cloud computing around the security and privacy prob- lem for embedded urban computing, proposed the future research direction.