面向物联网搜索的群智感知关键技术研究

项目名称： 面向物联网搜索的群智感知关键技术研究

项目编号： No.61502051

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 赵东

作者单位： 北京邮电大学

项目金额： 22万元

中文摘要： 群智感知是实现物联网全面感知的新型重要手段，为物联网搜索带来了更广泛、更丰富、更及时的数据来源，为智能搜索能力提供了更大的提升空间。针对物联网搜索对广泛性、时效性和位置关联性的需求，本项目围绕数据获取、数据传输、数据分析三个层面重点研究用户激励机制、搜索任务分发与数据收集、实体位置搜索三项群智感知关键技术，分别解决满足广泛性需求的用户激励策略优化，满足时效性需求的搜索任务分发与数据收集，实体位置搜索效率、准确性与成本的平衡三个关键科学问题，取得一系列原创性理论成果和关键技术突破，并构建基于位置的物联网搜索原型系统进行应用验证。项目预计成果将丰富物联网的基础理论和实现技术，为群智感知技术在物联网搜索领域的实际应用提供理论指导，有力支撑物联网发展的国家战略。

中文关键词： 移动感知；基于位置服务；数据收集；激励机制；智能手机感知

英文摘要： Crowd sensing is a novel and important way to implement comprehensive sensing in the Internet of Things (IoT). It brings about broader, richer, and more timely data source to IoT search, and provides larger improvement space to smart search ability. Considering the requirements of IoT search on extensiveness, timeliness, and location correlation, we focus on three key technologies of crowd sensing, including user incentive mechanism, search task distribution and data collection, and entity location search, from three aspects, including data acquisition, data transmission, and data analysis, respectively. We solve three key scientific problems: 1) the user incentive strategy optimization for extensiveness requirement, 2) the search task distribution and data collection for timeliness requirement, and 3) the trade-off of efficiency, accuracy, and cost of entity location search, through which a serious of original theoretical achievements and key technical breakthrough will be obtained. Moreover, we develop the prototype system of location based IoT search for application verification. The expected project results will enrich the basic theories and implementation technologies of IoT, provide guidance on the application of crowd sensing technologies in the field of IoT search, and support the national strategy of IoT development.

英文关键词： mobile sensing;location based service;data collection;incentive mechanism;smartphone sensing