A forecasting-based approach for optimal deployment of edge servers in 5G networks

Tiwari, Vaibhav; Pandey, Chandrasen; Sinha Roy, Diptendu

doi:10.1007/s10586-023-04250-0

Cluster Comput

2024

DOI: 10.1007/s10586-023-04250-0

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A forecasting-based approach for optimal deployment of edge servers in 5G networks

Vaibhav Tiwari,

Chandrasen Pandey,

Diptendu Sinha Roy

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Cited by 1 publication

References 31 publications

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Maximizing Coverage and Energy Conservation in B5G Networks Using Hexagonal Tiling to Deploy FT-S2ES

Tiwari,

Pandey,

Singh Yadav

et al. 2024

IEEE Open J. Commun. Soc.

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Edge Servers (ESs) enhance the efficiency and reliability of modern Beyond Fifth-Generation (B5G) network systems by reducing latency, boosting responsiveness, and optimizing network usage. From an industry standpoint, the optimal positioning of ESs is critical to enhancing coverage reach while reducing potential conflicts with neighboring servers, guaranteeing consistent and reliable user access. Traditional circular coverage for ESs is suboptimal due to inherent constraints. The hexagonal model, known for symmetrical and consistent distribution, emerges as a superior choice. Implementing Fault Tolerance Edge Server Placement (FT-ESP) demands workload distribution across servers to prevent overloading and mitigate service failures. The complexity of assigning multiple Base Stations (BSs) to ESs categorizes FT-ESP as a Nondeterministic Polynomial Time (NP-hard) problem. To address this, the Subset Sum Encoding Scheme (S2ES) has been introduced, linking BSs to ESs. This research Fault Tolerance Subset Sum Encoding Scheme (FT-S2ES) examines various Edge Server Placement Problem (ESPP) strategies, highlighting the proposed method's efficacy compared to traditional techniques. The empirical findings indicate that, when tested on real-world datasets, the suggested strategy successfully achieves a balanced workload and utilization rate of 8.82% and 7.67%, respectively. Compared to the Grey Wolf Optimizer (GWO) algorithm, energy usage is significantly reduced by 32.23%. In addition, the proposed approach ensures a reduction in latency by 22.80% with an increasing number of BSs and 9.47% with an increasing number of ESs.

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Maximizing Coverage and Energy Conservation in B5G Networks Using Hexagonal Tiling to Deploy FT-S2ES

Tiwari,

Pandey,

Singh Yadav

et al. 2024

IEEE Open J. Commun. Soc.

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View full text Add to dashboard Cite

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A forecasting-based approach for optimal deployment of edge servers in 5G networks

Cited by 1 publication

References 31 publications

Maximizing Coverage and Energy Conservation in B5G Networks Using Hexagonal Tiling to Deploy FT-S2ES

Maximizing Coverage and Energy Conservation in B5G Networks Using Hexagonal Tiling to Deploy FT-S2ES

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