# Adjacency-Information-Entropy-Based Cooperative Name Resolution Approach in ICN
## 4 Proposed Approach
### Latency Neighbor Maintenance
Adjacency information entropy is used as an important metric in ACNR, to quantify the information of the neighbor structure more accurately. We conducted rich comparative experiments on ACNR, and the results show that the proposed approach can discover more latency neighbors with lower overhead and can perform latency neighbor cooperative name resolution in a balanced way, reaching a higher name resolution success rate. Future work will focus on the optimization problem of cooperative name resolution in dynamic networks, where name resolution nodes should dynamically maintain the state of latency neighbors to avoid frequent request processing overloads of name resolution nodes in the system, thus improving the overall resolution success rate and efficiency of the system. Conceptualization, J.L., J.Y. and H.D. ; methodology, J.L. and J.Y. ; software, J.L. ; writing--original draft preparation, J.L. ; writing--review and editing, J.L., J.Y. and H.D. ; supervision, J.Y. ; project administration, J.Y. ; funding acquisition, H.D. All authors have read and agreed to the published version of the manuscript. This work was funded by the National Key R&D Program of China: Polymorphic Intelligent Network Environment (PINE) for Testing and Demonstrations (Project No. 2020 YFB1806402). Not applicable. Not applicable, the study does not report any data. We would like to express our gratitude to [PERSON] and [PERSON] for their meaningful support in this work. The authors declare no conflict of interest. Figure 8: Name resolution success rate with different parameter \(k\). (**a**) Name resolution success rate of the DP strategy. (**b**) Name resolution success rate of the RN strategy. ## References

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