Computer Science
移动众包感知
Mobile Crowd SensingA paradigm where mobile devices collect data for sensing tasks / 一种移动设备收集数据执行感知任务的范式
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-24 16:00:50
Sub-knowledge points
Data Collection / 数据收集Task Allocation / 任务分配Privacy Preservation / 隐私保护Security Mechanisms / 安全机制
Higher-order knowledge points
Internet of Things (IoT) / 物联网Edge Computing / 边缘计算Crowdsourcing / 众包
Main parameters and performance indicators
Task Centricity: Focuses on specific tasks rather than general data collection / 任务导向:专注于特定任务而非一般数据收集Multi-task Allocation: Distributing multiple sensing tasks to multiple users / 多任务分配:将多个感知任务分配给多个用户Security: Ensuring data integrity and privacy / 安全性:确保数据的完整性和隐私Efficiency: Optimizing resource usage and task completion time / 效率:优化资源使用和任务完成时间
Open problems
Scalability in large-scale deployments / 大规模部署的可扩展性Energy consumption optimization for mobile devices / 移动设备的能耗优化Trust and reputation management among users / 用户间的信任和声誉管理
Related literature
ranked by community starsA secure and efficient task-centric multi-task allocation scheme in mobile crowd sensingOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: Mobile Crowd Sensing.
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