# Context-Aware Data Dissemination for ICN-Based Vehicular Ad Hoc Networks
## 5 Conclusions and Future Work  
In this paper, we propose a context-aware packet-forwarding mechanism for ICN-based VANETs. By adding the geo-position information in the Interest and Data packets, a distance-based forwarding algorithm is realized which reduces the number of nodes redundantly forwarding packets and the number of hops of a packet to the content holders or requesters. In addition, to increase the possibility of successful data delivery and reduce the response time of the requested data, we introduce a forwarding suppression angle, outside the demarcated scope of which forwarding is not suppressed by the distance-based forwarding. By combining the distance-based forwarding, suppression angle, vehicular density, and the content priority, the numbers of repeated forwarding of the same data are greatly reduced; and at the same time, the key nodes are kept for forwarding packets, which guarantees the successful data delivery ratio and reduces the data response time. We have evaluated the proposed mechanism through simulations in terms of successful data delivery ratio, packet loss rate,  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Information Types** & **Applications** & **Priority** & **Operations** \\ \hline Road conditions & Baidu, Gaode maps & 1 & \\ Vehicle conditions & Vehicle Check Master & 2 & \\ Alarms & Danger Alarmer & 3 & \\ Social media info. & QQ, WeChat, DingDing & 10 & \\ Video clips & YOUKU, iQMYI & 11 & \\ Audio clips & NetEase’s cloud music, QQ music & 12 & \\ News & Headline today, NetEast news & 13 & \\ Games & King’s glory, Happy and Happy & 14 & \\ Online shopping & Taobao, Jingdong, Meituan & 15 & \\ Web surfing & Safari chrome & 16 & \\ Others & Random select from above & 20 & \\ \hline \hline \end{tabular}
\end{table}
Table 2: Configuration of the priorities of different types of content.  
Figure 20: Performance of delivery of different types of messages.  
network throughput, data response time, and hops. The results show that the proposed mechanism can greatly improve the performance of data dissemination in ICN-based VANETs.  
Our future work is to optimize the method for sensing vehicular density by using the Interest and Data packets in passing, and fine-tuning the parameters according to different performance metrics. We will also study the influences of different caching strategies on the proposed mechanism, in particular, infrastructure-assisted caching.  
Conceptualization, Y.L. and X.S.; Methodology, Y.L., X.S. and A.L.; Software, X.S. and Z.H.; Validation, X.S., Z.H., P.Z., D.J. and Y.Z.; Formal Analysis, Y.L., A.L. and X.S.; Data Curation, X.S. and Y.L.; Writing-Original Draft Preparation, Y.L.; Writing-Review & Editing, A.L.; Project Administration, Y.L.; Funding Acquisition, Y.L.  
This research was partly funded by the Open Foundation from the Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, grant number ESSCKF 2016-07.  
The authors would like to thank Professor [PERSON] from Tongji University for his valuable information regarding this research work.  
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.