Joint energy and latency optimization for upstream IoT offloading services in fog radio access networks

Abstract

Recently, the emergence of fog computing and big internet of things (IoT) data have been considered as the main representatives identifying fifth‐generation mobile networks. In fifth generation, cloudization is extended from the core to the access tiers, referred to as fog radio access networks. Fog radio access networks provide ultralow latency offloading services to a massive number of IoT devices in their proximity. In this paper, we propose a joint energy and latency optimization (JELO) scheme for upstream IoT offloading services in fog radio access networks. The JELO scheme controls the offloaded task assignment among fog‐enabled eNodeBs (fog nodes) with strict consideration of the systematic resources and specific characteristics of individual tasks. The joint objective function aims at red optimizing the energy red consumption and offload latency for entire networks. Simulation results demonstrate that the JELO scheme outperforms existing approaches in terms of the energy consumption and load balancing while maintaining IoT service satisfaction.

On Maximizing Task Throughput in IoT-Enabled 5G Networks Under Latency and Bandwidth Constraints

“…The total latency requirement of each IoT device is randomly distributed within [0.1 -5] minutes. We have considered CPU frequency of FAP processor as 1.4 GHz and computational complexity of the task as 10 computation cycles/bit [7]. For the sake of simplicity we have assumed the response time i.e., downlink latency as a random variable γ k,i (y k,i ) = δt, δt ∈ [0, 1] for any IoT device [6].…”

“…Additionally, the authors have proposed student project allocation based matching approach to solving the resource allocation procedure. In [7] authors have proposed a joint energy and latency optimization framework for IoT enabled fog access radio. The authors further proposed a knapsack based approach to solve the optimization problem.…”

Energy-Efficient Learning System Using Web-Based Panoramic Virtual Photoreality for Interactive Construction Safety Education

“…These issues are severe, particularly on mobile device applications, where the equipped battery has capacity constraints [22]. As described in [23], the operation of an application results in the generation of multiple workloads.…”

Fog computing–based node‐to‐node communication and mobility management technique for 5G networks

“…The exponential growth in smartphone users (with Internet‐based applications) demands the high data rate, less bandwidth consumption, and minimum delay–based communication and they are proportional to high energy consumption . It motivates the researchers to introduce new cutting edge communication methodology, which should support the high data rate, least bandwidth utilization, minimum energy consumption, affordable and best end‐to‐end Quality of Experience (QoE) . The networks perform several information exchanges and data analysis between the multiples communication hosts.…”

“…2 It motivates the researchers to introduce new cutting edge communication methodology, which should support the high data rate, least bandwidth utilization, minimum energy consumption, affordable and best end-to-end Quality of Experience (QoE). 3,4 The networks perform several information exchanges and data analysis between the multiples communication hosts. Therefore, we need a methodology that has minimum signal exchanges and least data processing loads.…”