A D2D resource allocation method for IoT network

Hu, Changgui; Yang, Chen; Fang, Xiaotong; Zhi, Hui; Hang, Linsheng

doi:10.1109/icetci53161.2021.9563426

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…A paramount approach is making the edge nodes more efficient by conceptualising and implementing resource allocation. The works of [1,2,3,4,5,6,7,8] affirm that recent paradigms are shifting concentration from the core structure of IoT to the individual nodes building up the IoT. The approach to tackle issues at the nodal level increasingly shows that the previous thought insurmountable challenges can be broken down and dealt with from the ground level up, using dogmas of divide and conquer algorithms.…”

Section: Introductionmentioning

confidence: 99%

Load Balancing for Resource Optimization in Internet of Things (IoT) Systems

Datiri

2022

cai

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Internet of Things (IoT) has been recognised as a promising area for automating numerous processes, however, the major problem with IoT is its potential for rising complexities. Several approaches have moved attention to the edge nodes associated with IoT, hence concepts of edge-computing, resource allocation and load balancing are tantamount to a more robust heterogeneous IoT. The resource optimization terrain comes with several complications for the resource allocation and scheduling algorithms. Load balancing, one of the key strategies for improving system performance and resource utilization in distributed and parallel computing, generally views an effective load balancer as a 'traffic controller' of resources by directing tasks to available and capable resources. In this paper, a framework appropriate for modelling and reasoning about IoT resource optimization is developed. Further, implementation of an optimized resource allocation algorithm taking into consideration the users' quality of experience (QoE) and the quality of service (QoS) is made available. Simulation results authenticate analysis and validate the improved performance over existing work.

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Section: Introductionmentioning

confidence: 99%

Load Balancing for Resource Optimization in Internet of Things (IoT) Systems

Datiri

2022

cai

View full text Add to dashboard Cite

show abstract

A D2D resource allocation method for IoT network

Cited by 1 publication

References 18 publications

Load Balancing for Resource Optimization in Internet of Things (IoT) Systems

Load Balancing for Resource Optimization in Internet of Things (IoT) Systems

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