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Energy Efficient Point-to-Point PON-based Architecture for the Backhaul of a VLC System

Wafaa B. M. Fadlelmula, Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani

TL;DR

The results show that the proposed P2P-PON architecture reduces total power consumption and average end-to-end queuing delay, while reducing average end-to-end queuing delay compared to the AWGR-PON architecture, due to the improved in-building connectivity and more effective utilization of distributed fog resources.

Abstract

This paper proposes a point-to-point passive optical network (P2P-PON) architecture as an energy-efficient and low-latency backhaul solution for visible light communication (VLC)-enabled indoor fog computing systems. The proposed architecture passively interconnects VLC access points and distributed in-building fog servers through dedicated optical links, enabling flexible peer-to-peer connectivity and efficient traffic aggregation. A mixed integer linear programming (MILP) framework is developed to jointly optimize processing resource allocation, traffic routing, power consumption, and end-to-end queuing delay across a multi-layer fog computing infrastructure. The model explicitly captures the power consumption of both networking and processing elements and incorporates a piecewise linear approximation of an M/M/1 queuing model to represent delay-sensitive applications. The performance of the proposed P2P-PON architecture is evaluated and compared against an arrayed waveguide grating router (AWGR)-based PON architecture under multiple indoor traffic scenarios. The results show that the proposed P2P-PON architecture reduces total power consumption by up to 64\% under power-aware optimization and by 15\% under delay-aware optimization, while reducing average end-to-end queuing delay by up to 76\% compared to the AWGR-PON architecture, due to the improved in-building connectivity and more effective utilization of distributed fog resources.

Energy Efficient Point-to-Point PON-based Architecture for the Backhaul of a VLC System

TL;DR

The results show that the proposed P2P-PON architecture reduces total power consumption and average end-to-end queuing delay, while reducing average end-to-end queuing delay compared to the AWGR-PON architecture, due to the improved in-building connectivity and more effective utilization of distributed fog resources.

Abstract

This paper proposes a point-to-point passive optical network (P2P-PON) architecture as an energy-efficient and low-latency backhaul solution for visible light communication (VLC)-enabled indoor fog computing systems. The proposed architecture passively interconnects VLC access points and distributed in-building fog servers through dedicated optical links, enabling flexible peer-to-peer connectivity and efficient traffic aggregation. A mixed integer linear programming (MILP) framework is developed to jointly optimize processing resource allocation, traffic routing, power consumption, and end-to-end queuing delay across a multi-layer fog computing infrastructure. The model explicitly captures the power consumption of both networking and processing elements and incorporates a piecewise linear approximation of an M/M/1 queuing model to represent delay-sensitive applications. The performance of the proposed P2P-PON architecture is evaluated and compared against an arrayed waveguide grating router (AWGR)-based PON architecture under multiple indoor traffic scenarios. The results show that the proposed P2P-PON architecture reduces total power consumption by up to 64\% under power-aware optimization and by 15\% under delay-aware optimization, while reducing average end-to-end queuing delay by up to 76\% compared to the AWGR-PON architecture, due to the improved in-building connectivity and more effective utilization of distributed fog resources.
Paper Structure (15 sections, 44 equations, 12 figures, 3 tables)

This paper contains 15 sections, 44 equations, 12 figures, 3 tables.

Table of Contents

  1. Introduction
  2. Related Work
  3. The System Model
  4. MILP Model for Joint Energy-Delay Optimization
  5. Baseline: AWGR-based Wavelength-Routed PON
  6. Proposed Model: P2P-PON Architecture
  7. Performance Evaluation
  8. Simulation Parameters
  9. Processing Placement and Power Consumption Evaluation
  10. Scenario 1: Two Source User Devices per Room
  11. Scenario 2: Six Source User Devices per Room
  12. Scenario 3: Eight Source User Devices in the Same Room
  13. Queuing Delay Evaluation
  14. Scenario 1: Two Source User Devices per Room
  15. Conclusion

Figures (12)

  • Figure 1: The in-building S&L VLC backhaul system.
  • Figure 2: Optimal processing placement in the AWGR-PON and P2P-PON for the first scenario.
  • Figure 3: Power consumption comparison between the AWGR-PON and the P2P-PON for the first scenario.
  • Figure 4: Optimal processing placement in the AWGR-PON and P2P-PON for the second scenario.
  • Figure 5: Power consumption comparison between the AWGR-PON and the P2P-PON for the second scenario.
  • ...and 7 more figures