Energy-efficient placement of virtual network functions in a wireless mesh network
Tchinda, AP; Shala, B; Lehmann, A; et al.Ghita, B; Walker, D; Trick, U
Date: 29 April 2024
Article
Journal
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers
Publisher DOI
Abstract
In the context of service provisioning, the integration of Network Functions Virtualization
(NFV) enhances the flexibility, scalability, and programmability of telecommunication networks. However,
this integration introduces challenges, particularly in optimizing the placement of Virtualized Network
Functions (VNFs) within the NFV ...
In the context of service provisioning, the integration of Network Functions Virtualization
(NFV) enhances the flexibility, scalability, and programmability of telecommunication networks. However,
this integration introduces challenges, particularly in optimizing the placement of Virtualized Network
Functions (VNFs) within the NFV Infrastructure (NFVI). Existing studies have predominantly focused on
well-connected, mains-powered ecosystems like datacentres and cloud networks. In contrast, the aim of this
paper is to identify a solution that distributes and deploys a Wireless Mesh Network (WMN) as the backbone
for a disaster management communication and service infrastructure. Given the mobility of mesh routers in
such scenarios, these devices are often battery-powered. Consequently, the placement of VNFs directly
impacts the energy consumption in the network and, subsequently, its lifetime. The proposed solution for the
energy-efficient placement of VNF is formulated as a multi-objective optimization problem. This context
introduces different approaches and proposes a heuristic algorithm to optimize the placement of VNFs. The
evaluation results indicate that the proposed algorithm outperforms prior alternatives in various scenarios.
Notably, it surpasses established methods like the Nondominated Sorting Genetic Algorithm II (NSGA-II),
commonly used to solve similar problems. This research signifies a significant advancement in addressing
the specific challenges associated with NFV integration in wireless mesh networks, particularly in disaster
management contexts.
Computer Science
Faculty of Environment, Science and Economy
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Except where otherwise noted, this item's licence is described as © 2024 The Author(s). Open Access. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License
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