软件导刊2025，Vol.24Issue(6)：136-141,6.DOI:10.11907/rjdk.241322
自然灾害场景下基于兴趣偏好与局部流行度的NDN缓存优化策略研究
Research on NDN Cache Optimization Strategy Based on Interest Preferences and Local Popularity in Natural Disaster Scenarios
摘要
Abstract
A NDN cache optimization strategy based on user interest preferences and local popularity(BIPLP)is proposed to address the is-sues of poor cache locality and cache update delay in traditional TCP/IP networks in handling natural disasters.This strategy replaces TCP/IP networks with Named Data Networks(NDNs).By analyzing user interests and preferences,the degree of user demand for different content is determined,and the caching probability is calculated based on the local popularity and request cost at the routing node to determine whether to perform caching operations at the routing node.This enables the content that users are interested in to be cached faster.The simulation experi-ment results show that compared with the common caching strategies in NDN,the proposed caching optimization strategy can effectively trans-mit data for different contents in the context of natural disasters,improve cache hit rate,reduce network congestion,and reduce network laten-cy,which has certain feasibility.关键词
命名数据网络/缓存策略/兴趣偏好/局部流行度/请求代价Key words
named data network/cache policy/interest preferences/local popularity/request cost分类
计算机与自动化引用本文复制引用
聂堰,赵长名,王旨..自然灾害场景下基于兴趣偏好与局部流行度的NDN缓存优化策略研究[J].软件导刊,2025,24(6):136-141,6.基金项目
四川省科技计划项目(2023YFG0301) （2023YFG0301）
