Research And Implementation Of The Predictive Data Caching Based On Wireless Content Centric Network

With the develop of Wi-Fi and3G wireless technology and the popularity of smart devices like smart phones and pads, the information people gain today has changed from text to multimedia like pictures and real-time streaming. All these highly real-time services which require high bandwidth highlight the bottleneck of the data transmission of today’s TCP/IP architecture. Many designs and researches on the next generation network architecture have emerged. Content Centric Network (CCN) is one of them. CCN provides the function of caching the content user required in the nearby nodes in oeder to make the content more easily to get and more effectively to distribute.At the same time, Wi-Fi has become popular due to its simplicity and low cost. However, the wireless handoff frequently happens because of the limited area it can cover and the instability of the network. This can cause incontinuity even interrupt of the services and influence the QoE of the user consequently.CCN separates the location and identity. With the in-network caching, it is suitable for mobility and multihosting applications. This feature can be used to provide local or nearby caching when handoff happens. It is natural to combine the prediction of the network’s disconnection and CCN to gain seamless service based on CCN’s caching mechanism.Firstly, this paper introduce the background of SocialSensor. Secondly, we introduce the researches on the next generation network architecture home and abroad. Thirdly, we introduce the research of wireless predictive data caching, and analyse serveral prediction models of time series. Fourly, we introduce CCN in details and build the CCNx environment to do some experiments. Fifthly, we build the disconnection prediction models based on the prediction models of time series and compare them with Matlab. At last, we introduce the design the predictive data caching system based on wireless CCN, and also we build a preliminary scheme of the system and implementation of disconnection prediction system on Android.