项目名称: 机会计算环境中的通信机会发现关键技术研究
项目编号: No.61202436
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 计算机科学学科
项目作者: 熊永平
作者单位: 北京邮电大学
项目金额: 26万元
中文摘要: 随着具有短程无线通信能力移动智能设备的广泛普及,机会组网和机会计算模型在各种以自组织方式交换和共享资源的应用领域拥有巨大的应用潜力,包括移动社交、参与式感知和车载网络等。本课题针对机会计算应用的核心问题-机会发现展开研究,研究建立包含机会丢失率和能耗等核心指标的机会发现性能优化模型,并分别从减少无线radio工作时间和降低无线radio运行功耗两个角度研究高效能的机会发现关键技术。通过利用真实移动轨迹数据和实际环境搭建实验系统对成果进行模拟和实际验证。课题提出了基于相遇上下文知识的相遇机会预测、基于动态调节radio时钟频率降低机会发现功耗等若干具有创新性的方案和技术路线,将为机会计算的实用化提供技术支持,具有非常重要的理论价值和实用意义。
中文关键词: 机会发现;机会分发;信道能量采样;移动预测;
英文摘要: With the popularity of the mobile smart devices with short range radios, the emerging opportunistic network and opoortunistic computing model has the increasing potential in the kind of resource sharing and exchanging applications in a p2p way such as the mobile social, participatory sensing and vechicular networks. The proposal aims to study the fundamental opportunity discovery technology for the opportunistic computing. The primary research issues includes the the performance optimization model for opportunity discovery including the opportunity missing rate and energy consumption metrics, the optimized discovery schemes by means of reducing the duty cycle and decreasing the power consumption of the radio. Then the testbed established in the practical environment and the simulation tools using the realistic mobility traces are utilized to verify the efficacy of these methods. This proposal also develops a few innovative solution and technology roadmaps including the contact prediction based on the context knowledge learning and power saving based on the clock rate adjusting. Thus it is capable of providing the technical support for the practicability of opportunistic computing, and has the important theoretical and practical value..
英文关键词: opportunity discovery;opportunistic dissemination;channel energy sampling;mobility prediction;