Abstract
CCN (Content-centric network) has emerged as a promising architecture for future 5G network due to its in-network caching capability and receiver-driven content retrieval paradigm. Recently, the explosive increase in energy consumption driven by the rapid growth of network traffic has become a fundamental issue in CCN and caused widespread academic concern. In this paper, we proposed an energy-efficient scheme for the future 5G network. The aim of our scheme is to minimize the energy consumption by considering some important constraints, including limited storage, content popularity, placement and access to contents. Our proposed scheme provides efficient utilization of hotspot cache, minimizing transportation cost by using Zipf and knapsack which ensure local availability of cache contents and minimizing energy consumption. Finally, simulation results reveal that our proposed scheme outperform in term of saving energy, the impact of content popularity, cache size, placement, and device-to-device communication.
Highlights
The mobile data traffic has been increasing tremendously over the past years and is predicted to grow almost tenfold within the upcoming few years [1]
Luo et al focused on energyefficient strategies for Mobile Edge Computing (MEC) to minimize the power consumption, satisfying a computation delay cost in capacity-limited cellular network
AND DISCUSSION we present the simulation results to evaluate the performance of our proposed scheme
Summary
The mobile data traffic has been increasing tremendously over the past years and is predicted to grow almost tenfold within the upcoming few years [1]. Smart devices with built-in support for multimedia content causes an increase in video data traffic and energy consumption over cellular networks [12]. In the upcoming few years, the improvement in network energy efficiency major concerns with increased data traffic growth. Luo et al focused on energyefficient strategies for Mobile Edge Computing (MEC) to minimize the power consumption, satisfying a computation delay cost in capacity-limited cellular network. They studied the impact of joint optimization average download latency and average energy consumption in the cellular network. In terms of caching decision in CCN, a smart caching needs to place and retrieve the contents within hotspot in an efficient way to minimize energy consumption and maximize network performance. We study the impact of our proposed scheme from the perspective of energy in 5G hotspot caching and find that efficient utilization of hotspot caching scheme has positive impact on the network
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