Paper Info
Title
Three-Dimensional Matching based Resource Provisioning for the Design of Low-Latency Heterogeneous IoT Networks
Abstract
Internet-of-Things (IoT) is a networking architecture where promising, intelligent services are designed via leveraging information from multiple heterogeneous sources of data within the network. However, the availability of such information in a timely manner requires processing and communication of raw data collected from these sources. Therefore, the economic feasibility of IoT-enabled networks relies on the efficient allocation of both computational and communication resources within the network. Since fog computing and 5G cellular networks approach this problem independently, there is a need for joint resource-provisioning of both communication and computational resources in the networks. As the solution to this problem, we propose a novel three-dimensional matching based resource provisioning algorithm that minimizes average service latency in the presence of various resource constraints, task deadlines and non-identical preferences at IoT devices, fog access points (FAPs) and small-cell access points (SAPs) in 5G networks. We prove the stability and termination of the proposed algorithm and also demonstrate that our proposed algorithm outperforms other state-of-the-art algorithms through both, simulation and real-world experiments on the laboratory test-bed.
Year
DOI
Venue
2019
10.1145/3345768.3355906
Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
Keywords
Field
DocType
5g, fog, iot, matching, prb, resource provisioning, sap
Computer science,Internet of Things,Computer network,Provisioning,Latency (engineering),Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4503-6904-6
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Ajay Pratap111.03
Federico Concone2112.68
V. Sriram Siddhardh Nadendla3214.60
Sajal K. Das48086745.54