DCS: Distributed Caching Strategy at the Edge of Vehicular Sensor Networks in Information-Centric Networking

Abstract

Information dissemination in current Vehicular Sensor Networks (VSN) depends on the physical location in which similar data is transmitted multiple times across the network. This data replication has led to several problems, among which resource consumption (memory), stretch, and communication latency due to the lake of data availability are the most crucial. Information-Centric Networking (ICN) provides an enhanced version of the internet that is capable of resolving such issues efficiently. ICN is the new internet paradigm that supports innovative communication systems with location-independent data dissemination. The emergence of ICN with VSNs can handle the massive amount of data generated from heterogeneous mobile sensors in surrounding smart environments. The ICN paradigm offers an in-network cache, which is the most effective means to reduce the number of complications of the receiver-driven content retrieval process. However, due to the non-linearity of the Quality-of-Experience (QoE) in VSN systems, efficient content management within the context of ICN is needed. For this purpose, this paper implements a new distributed caching strategy (DCS) at the edge of the network in VSN environments to reduce the number of overall data dissemination problems. The proposed DCS mechanism is studied comparatively against existing caching strategies to check its performance in terms of memory consumption, path stretch ratio, cache hit ratio, and content eviction ratio. Extensive simulation results have shown that the proposed strategy outperforms these benchmark caching strategies.

A Comparative Performance Analysis of Popularity-Based Caching Strategies in Named Data Networking

“…For the present study, four significant metrics such as cache hit ratio, content diversity, content redundancy, and stretch are selected to be evaluated the overall caching performance. The SocialCCNSim [7], [21], [24], [39], [42] simulator is selected as a simulation platform and Least Recently Used (LRU) content replacement policy is adopted to release the cache storage and make room for new contents to be cached at intermediate routers. In addition, four types of content categories such as Video on Demand (VoD) content, Web content, User Generated Content (UGC), and File sharing content are selected to extensively and comparatively study the popularity-based caching algorithms.…”

“…The cache hit occurs when a consumer's requested content is found at the network router's cache. The router reacts as a provider by sending the corresponding content to the appropriate consumer [42], [43]. Figure 11 (a, b, c, d) shows the results is achieved using different topologies (Abilene, GEANT, DTelekom, and Tiger).…”

CCN-Based Inter-Vehicle Communication for Efficient Collection of Road and Traffic Information

“…Caching with a probability [15] is suggested to avoid redundant caching, and various methods have been put forward for calculating the cache probability, such as using the number of hops, using content popularity, or considering cache allocation. In [16], an efficient method of determining popularity is defined, and an excellent caching method is proposed by using intermediate routers and edge nodes. This method is a very good cache allocation method from the viewpoint of content popularity.…”

Smart Containers Schedulers for Microservices Provision in Cloud-Fog-IoT Networks. Challenges and Opportunities

“…It must be noted that content centric networking (CCN), information-centric networking (ICN) and name data networking (NDN) represent emerging internet architectures with an information-centric approach at the network level in contrast to host-centric approach of traditional IP-based ones. These approaches can also be deployed with the support of cloud, fog, edge and IoT infrastructures and scheduling and catching strategies are proposed at this level [33,34].…”