Fit Entropy-Based Dynamic Communication Resource Slicing-Optimization Method in Smart Distribution Grids on the Medium–Low-Voltage Side
Abstract
:1. Introduction
2. System Model
2.1. Communication Network Architecture for Smart Distribution Grids on the Medium–Low-Voltage Side
2.2. Service and Resource Matching Process
2.3. Definition of Fit Entropy
2.4. Business Utility Definition
3. Optimization of the Matching between the Service Domain, Logical Domain and Physical Domain Based on Utility
3.1. Problem Formulation
3.2. The Matching Mechanism between the Service Domain, Logic Domain, and Physical Domain
3.2.1. Description of the Three-Domain Model Based on Hypergraphs
3.2.2. Building Service Function Chains
Algorithm 1: SFC Construction Algorithm Based on Improved Lexicographic Order | |
1: | Initialize the business request and its service functionality dependencies |
2: | for each service request do |
3: | Randomly select a construction plan for encoding |
4: | Obtain all construction sets SFCG of SFC according to the lexicographic order. |
5: | do |
6: | does not satisfy the dependency relationship |
7: | |
8: | end if |
9: | end for |
10: | end for |
3.2.3. The Two-Stage Matching of the Service Domain, Logic Domain, and Physical Domain
3.2.4. The Integrated Matching of the Service Domain, Logic Domain, and Physical Domain
Algorithm 2: Optimization Matching Algorithm for Business-SFC-Physical Component Based on Utility | |
1: | Initialize the business requirements and their corresponding service function chain groups with service levels. |
2: | Generate preference lists for each business and service function chain. |
3: | |
4: | |
5: | |
6: | The requester sends matching requests to all service function chains in the list that meet its requirements |
7: | SFCs that meet the requirements |
8: | Compute the matching probability to optimize utility |
9: | end for |
10: | end for |
11: | if the total resources of the available physical component set > resources required by the SFC |
12: | Match Successful |
13: | else if the available physical component resources are insufficient |
14: | Delete the currently matched service function chain and re-execute step 6. |
15: | end if |
16: | end while |
3.2.5. The Complexity Analysis of the Algorithms
4. Simulation
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Delay Requirement | Delay Requirement Level | Reliability Requirement | Reliability Requirement Level | Precision Requirement |
---|---|---|---|---|
Less than 0.05 s | Level 1 | Above 99.5% | Level 1 | Entire area |
Less than 0.3 s | Level 2 | Above 99% | Level 2 | |
Less than 5 s | Level 3 | Above 98% | Level 3 | |
Less than 30 s | Level 4 | Above 95% | Level 4 | |
Less than 60 s | Level 5 | Above 90% | Level 5 | Single device |
Service Category | Service Type | Delay Requirement Level | Reliability Requirement Leve | Precision Requirement Level |
---|---|---|---|---|
Marketing | Equipment Monitoring | Level 3 | Level 2 | Level 2 |
Automatic Secondary Remote Control | Level 4 | Level 4 | Level 1 | |
Environmental Monitoring | Level 3 | Level 5 | Level 2 | |
Billing Collection | Level 3 | Level 3 | Level 5 | |
Distribution | Automatic Tertiary Remote Control | Level 1 | Level 2 | Level 2 |
New Energy Regulation | Level 1 | Level 1 | Level 2 | |
Energy Storage Control | Level 1 | Level 1 | Level 1 | |
Load Control | Level 2 | Level 3 | Level 1 |
Network Parameters | Value |
---|---|
Number of network nodes | 500 |
Proportion of marketing and distribution business | |
Performance indicators for VNF processing unit traffic delay | |
Performance indicators for VNF processing unit traffic reliability | |
Performance indicators for VNF processing unit traffic accuracy | |
Consumption of computing resources per unit of traffic processed by VNF | |
Consumption of storage resources per unit of traffic processed by VNF | |
Consumption of spectrum resources per unit of traffic processed by VNF | |
Consumption of power resources per unit of traffic processed by VNF | |
Computing resources of distribution nodes | |
Storage resources of distribution nodes | |
Spectrum resources of distribution nodes | |
Power resources of distribution nodes | |
Computing resources of marketing nodes | |
Storage resources of marketing nodes | |
Spectrum resources of marketing nodes | |
Power resources of marketing nodes | |
Computing resources of medium-voltage nodes | |
Storage resources of medium-voltage nodes | |
Spectrum resources of medium-voltage nodes | |
Power resources of medium-voltage nodes |
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Li, H.; Zhu, X. Fit Entropy-Based Dynamic Communication Resource Slicing-Optimization Method in Smart Distribution Grids on the Medium–Low-Voltage Side. Sensors 2024, 24, 5522. https://doi.org/10.3390/s24175522
Li H, Zhu X. Fit Entropy-Based Dynamic Communication Resource Slicing-Optimization Method in Smart Distribution Grids on the Medium–Low-Voltage Side. Sensors. 2024; 24(17):5522. https://doi.org/10.3390/s24175522
Chicago/Turabian StyleLi, Haiming, and Xiaorong Zhu. 2024. "Fit Entropy-Based Dynamic Communication Resource Slicing-Optimization Method in Smart Distribution Grids on the Medium–Low-Voltage Side" Sensors 24, no. 17: 5522. https://doi.org/10.3390/s24175522