Due to the ubiquitous utilization of GPS devices, traffic cameras, and sensing devices, data are collected more readily in a smart city. If all the cabs of this city are used as data carriers, data generated by sensing devices will be collected to data centers efficiently and economically. Therefore, vehicular networks joint sensing devices provide more perspectives for a variety of vehicle-based applications. In this paper, three data centers deployment optimization schemes are proposed to optimize data centers' deployment, which can considerably enhance the performance of data collection and code dissemination tasks. Each proposed scheme uses different criteria to optimize the deployment of data centers: 1) locations of sensing devices; 2) locations that have high traffic flow; and 3) locations that have high valid flow, and these schemes are called Scheme 1, Scheme 2, and Scheme 3, respectively. In addition, another scheme that produces the deployment of data centers randomly is called Scheme 4, and it is used as a contrast in experiments. After performing extensive experiments and simulations based on two real-world datasets of cabs' GPS coordinates, the experiment results demonstrate that Scheme 3 noticeably outperformed remaining schemes under various circumstances. The results of February 3 were taken (Dataset 1) for instance. In comparison with Scheme 4, Scheme 3 enhances the total number of collected data packets by 57.71% when the number of the data center is ten, the speed of code dissemination and the coverage of cabs are ameliorated by 23.92% and 12.93%, respectively. Compared with Scheme 1, the total number of Scheme 3's collected packets is 65.00% higher than that of Scheme 1 when there are ten data centers deployed. The figures for Scheme 3's code dissemination and the coverage of sensing devices exceed that of Scheme 1 by 18.98% and 10.21%, respectively.

Hundreds of thousands of ubiquitous sensing (US) devices have provided an enormous number of data for Information-Centric Networking (ICN), which is an emerging network architecture that has the potential to solve a great variety of issues faced by the traditional network. A Caching Joint Shortcut Routing (CJSR) scheme is proposed in this paper to improve the Quality of service (QoS) for ICN. The CJSR scheme mainly has two innovations which are different from other in-network caching schemes: (1) Two routing shortcuts are set up to reduce the length of routing paths. Because of some inconvenient transmission processes, the routing paths of previous schemes are prolonged, and users can only request data from Data Centers (DCs) until the data have been uploaded from Data Producers (DPs) to DCs. Hence, the first kind of shortcut is built from DPs to users directly. This shortcut could release the burden of whole network and reduce delay. Moreover, in the second shortcut routing method, a Content Router (CR) which could yield shorter length of uploading routing path from DPs to DCs is chosen, and then data packets are uploaded through this chosen CR. In this method, the uploading path shares some segments with the pre-caching path, thus the overall length of routing paths is reduced. (2) The second innovation of the CJSR scheme is that a cooperative pre-caching mechanism is proposed so that QoS could have a further increase. Besides being used in downloading routing, the pre-caching mechanism can also be used when data packets are uploaded towards DCs. Combining uploading and downloading pre-caching, the cooperative pre-caching mechanism exhibits high performance in different situations. Furthermore, to address the scarcity of storage size, an algorithm that could make use of storage from idle CRs is proposed. After comparing the proposed scheme with five existing schemes via simulations, experiments results reveal that the CJSR scheme could reduce the total number of processed interest packets by 54.8%, enhance the cache hits of each CR and reduce the number of total hop counts by 51.6% and cut down the length of routing path for users to obtain their interested data by 28.6–85.7% compared with the traditional NDN scheme. Moreover, the length of uploading routing path could be decreased by 8.3–33.3%.