Left-Right-Front Caching Strategy for Vehicular Networks in ICN-Based Internet of Things

Abstract

In Vehicular Ad-hoc Networks (VANET), vehicles act like mobile nodes for fetching, sharing, and disseminating important information related to vehicle safety, warning messages, emergency events, and passenger infotainment. Due to continuous information sharing of vehicles with their surrounding nodes, Road Side Units (RSUs), and infrastructures, the existing host-centric IP-based network cannot fulfill the requirements of VANETs. Therefore, Information Centric Networking (ICN) architectures are the introduced to comprehensively address the problems of Internet of Things (IoT)-based VANETs, known as VANET-IoT. This paper introduces a new ICN-based proactive left-right-front (LRF) caching strategy for VANETs, which maximizes the performance of VANETs by placing content proactively at the right nodes. The proposed strategy also provides a mechanism for the timely dissemination of safety-related messages. LRF is compared with other caching strategies in the NS-3 simulator, which outperforms those schemes in terms of cache utilization, hop ratios, and resolved interest ratios with respect to 100 MB, 500 MB, and 1 GB cache sizes.

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

“…Authors in Ud Din et al 150 add a new table (named Address Table [AT], for storing the addresses of left, right, and front RSUs) to ICN. All content requests are forwarded to the RSU, which are responsible for caching contents.…”

“…Ud Din et al 150 Provides a mechanism for the timely dissemination of safety-related messages (push-based).…”

Adaptive Content Precaching Scheme Based on the Predictive Speed of Vehicles in Content-Centric Vehicular Networks

“…It causes reducing the cache hit ratio and the content delivery ratio. To efficiently download the whole content and to enhance the cache hit ratio, some studies [ 25 , 26 , 36 , 37 , 38 , 39 ] on mobility-based precaching that exploit the mobility of the requester vehicle have been researched in CCVNs. They proactively cache the same copy of the whole content (i.e., full precaching) for the requester vehicle to the next RSU where it arrives next by its mobility.…”

“…Vehicles at future locations can simply express these small Interest packets to the RSUs, where the prefetched packets will be cached at the RSUs and will soon be used by the requester when it moves into the RSU’s range. Din et al [ 38 ] proposed a Left-Right-Front (LRF) cache strategy for precaching in VANETs. The LRF cache strategy proactively places the requested data at upcoming nodes/RSUs for vehicles.…”

“…However, since the full precaching schemes [ 25 , 26 , 36 , 37 , 38 , 39 ] precache the whole of an intended content for a requester vehicle to its next RSU, they have the problem to precache unnecessary parts of the content that the vehicle already downloaded in the current RSU or cannot download in the next RSU, because the vehicle can download only the limited amount in the next RSU due to its limited travel time in the RSU. Thus, many studies [ 27 , 28 , 29 , 30 , 31 , 40 , 41 ] have been addressed to solve this problem and proposed partial precaching schemes to precache only the amount that a requester vehicle can download in the communication coverage of the next RSU through the communication with it based on the speed information.…”