| Title | Energy-Aware Cloud Architecture for Intense Social Mobile (Device to Device) 5G Communications in Smart City |
|---|---|
| ID_Doc | 38908 |
| Authors | Shafqat, S; Kishwer, S; Qureshi, MA |
| Title | Energy-Aware Cloud Architecture for Intense Social Mobile (Device to Device) 5G Communications in Smart City |
| Year | 2019 |
| Published | |
| Abstract | Energy consumption in 5G cellular networks is a hot research topic by 2025 as D2D users are estimated to reach 35 billion. Till the date there is no accurate energy consumption mechanism provided for device to device communication. In this article we propose a new cellular communication architecture that integrates energy aware cloud computing with social aware device to device communication. The devices when active automatically get signed up over a universal cloud application with their Sensor Encounter Record (SER) information. This SER information gets updated continuously as the devices move between multiple social communities. The cloud computes the social network of mobile devices at regular intervals based on interests and location enabling them to share and download data directly using radio access networks (RAN). Socially aware D2D energy harvesting required the knowledge of the social ties between devices communicating within a limited distance. This computation mechanism using beacons is proved to be consuming lot of energy which is not calculated. The proposed architecture promises to be energy efficient in terms of energy consumption as it shifts the computation of social ties over to cloud with an unlimited capacity of resources and memory. |
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