Content Consistency Strategy for data storage in Content-Centric Networking

In Content Centric Networking (CCN), registered data objects are frequently modified by users due to individual requirements, which results in downloading vulnerability to nodes. The overall consistency of data stored in multiple nodes is affected by two major factors, the changes in data content and the loss of data on each host, which significantly impacts the correctness and usability in the networks. To solve this problem, we apply optimization problem to minimize the overall transmission error of registered data delivered from the source node to the sink node in CCN. Specifically, we first describe the problems of transmission error rate and transmission time based on CCN. Then, we propose a specific strategy to unify the stored data and optimize system performance, and then achieve the minimized overall transmission fault for a certain amount of data. Finally, comprehensive simulations show that significant performance enhancement can be achieved by using our proposed scheme.