How to Cache in Mobile Hybrid IoT Networks?

Abstract

Content-centric mobile hybrid Internet-of-Things (IoT) networks consisting of mobile devices and static femto access points (FAPs) are studied, where each device moves according to the random walk mobility model and requests a content object from the library independently at random according to a Zipf popularity distribution. Instead of allowing access to content objects at macro base stations via costly backhaul providing connection to the core network, we consider a more practical scenario where mobile devices and static FAPs, each having a finite-size cache space, are able to cache a subset of content objects so that each request is served by other mobile devices or static FAPs. Under a general multihop-based content delivery protocol, we analyze the order-optimal throughput-delay trade-off by presenting a new cache allocation strategy. In particular, under a given caching strategy, we first characterize a throughput-delay trade-off in terms of scaling laws along with the general content delivery multihop routing protocol. Then, the order-optimal throughput-delay trade-off is characterized by presenting the order-optimal cache allocation strategy, which jointly finds the replication sets at mobile devices and static FAPs via a novel variable decoupling approach. In our mobile IoT network, an interesting observation is that highly popular content objects are mainly served by mobile devices while the rest of content objects are served by static FAPs. We perform numerical evaluation to validate our analytical results. We also show that the order-optimal strategy strictly outperforms a baseline approach, where the replication sets at mobile devices and static FAPs are optimized separately.

A Classification of the Enabling Techniques for Low Latency and Reliable Communications in 5G and Beyond: AI-Enabled Edge Caching

“…Therefore, it reduces the content retrieval time for the IoT devices as it brings the required content near the subscriber by caching it on the nearby nodes [26], [35], [36], [108]- [114]. Other benefits of ICN and in-network caching for IoT networks include improved cache hit ratio, reduced hop count, increased content availability and reliability, reduced network traffic, and reduced energy consumption [102], [103], [106], [115]- [117].…”

“…It was observed that when content popularity is considered during cache decisions, the content transfer time and packet loss ratio can be reduced while increasing the content availability. It was also observed in [117] that in mobile hybrid ICN-IoT, both mobile devices and static femto access points might be equipped with finite-size cache space. Then, an order-optimal cache allocation strategy can be applied to optimize the performance.…”

Two-Stage Interference Cancellation for Device-to-Device Caching Networks

“…Recently, D2D caching has been actively studied, in order to allow end terminals to cache content files and then to directly serve each other via D2D single-hop or multihop file delivery [5][6][7][8]11,12]. Specifically, the optimal throughput scaling laws for D2D caching networks achievable by single-hop file delivery and multihop file delivery were derived in [5,11,12]. Analytical modeling for traffic dynamics has been studied in [6] to investigate packet loss rates for cache-enabled networks.…”

A Lightweight Caching Decision Strategy Based on Node Edge-Degree for Information Centric Networking

“…The content placement is a process in which the user's requested content is cached in the caching nodes along the forwarding path. It has a significant role to improve the overall network performance [7] [8].…”