论文标题

加速通过不确定的移动人群网络的数据服务的交付

Accelerating the Delivery of Data Services over Uncertain Mobile Crowdsensing Networks

论文作者

Liwang, Minghui, Cheng, Zhipeng, Gong, Wei, Li, Li, Su, Yuhan, Jiao, Zhenzhen, Hosseinalipour, Seyyedali, Wang, Xianbin, Dai, Huaiyu

论文摘要

交换和处理大数据在移动人群中(MCS)网络的挑战呼吁设计无缝的数据服务提供机制,以便能够利用移动设备/用户的资源来实现人群的任务。尽管基于实时网络条件的常规现场资源现场交易可以促进数据共享,但由于需要及时分析动态网络环境,它通常会遭受过长的长期服务供应延迟和不可避免的交易失败。这些局限性促使我们研究了不确定的MCS生态系统,调查了一种需要随时间效率的新型混合数据交易协议,该机制需要一种新型的混合数据交易协议。在ifast中,卖方(即可以贡献数据的移动设备)可以为买家(即传感任务)提供长期或临时的感应服务。具体而言,它通过分析网络/市场的历史统计数据,在未来的交易模式之前通过向前交易模式签订长期合同,并为此介绍和促进了超额预订的概念。如果考虑到当前的网络/市场状况,IFAST进一步鼓励以服务质量不满意的服务质量,以通过现货交易模式招募临时卖家。我们分析IFAST的基本块,并提供案例研究以证明其性能。总结了下一代感测和交流的未来研究方向的灵感。

The challenge of exchanging and processing of big data over mobile crowdsensing (MCS) networks calls for designing seamless data service provisioning mechanisms to enable utilization of resources of mobile devices/users for crowdsensing tasks. Although conventional onsite spot trading of resources based on real-time network conditions can facilitate data sharing, it often suffers from prohibitively long service provisioning delays and unavoidable trading failures due to requiring timely analysis of dynamic network environment. These limitations motivate us to investigate an integrated forward and spot trading mechanism (iFAST), which entails a novel hybrid data trading protocol with time efficiency, over uncertain MCS ecosystems. In iFAST, the sellers (i.e., mobile devices who can contribute data) can provide long-term or temporary sensing services to the buyers (i.e., sensing tasks). Specifically, it enables signing long-term contracts in advance of future transactions through a forward trading mode, via analyzing historical statistics of the network/market, for which the notion of overbooking is introduced and promoted. iFAST further encourages the buyers with unsatisfying service quality to recruit temporary sellers through a spot trading mode, considering the current network/market conditions. We analyze the fundamental blocks of iFAST and provide a case study to demonstrate its performance. Inspirations for future research directions of next-generation sensing and communication are summarized.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源