Pipeline Monitoring and Sensor Energy Analysis in Concessional Fog Wide Area Networks (CF-WAN)

In this paper, the application of concessional Fog driven Wide Area Network (CF-WAN) with low powered edge sensor nodes is deployed in Pipeline flow monitoring (PFM) design. Energy demand assumption in Fog-WAN is used reduce cost savings in battery powered nodes. CF-WAN using Internet of things (IoT) energy integration is a novel contribution introduced. Mathematical characterization for various differential requirements in flow movements are discussed. Structural monitoring hierarchy (SMH) is formulated to meet the diverse service delivery concerns in Cloud queried pipeline-networks. Design considerations such as pipeline energy models, fluid pressures losses, fluid flow and location modelling are presented. Fog-WAN battery model for sustainable transceiver energy consumption model is investigated in the context of node deployment architecture. Energy consumption map of the transceiver edge-Fog WSN node battery model is developed. Metrics such as depth of charge (DoC), battery's state of charge (SoC), load current, load voltage, among others are analyzed. Validation use case simulation for characterized pipeline designs, flow equations, and pipeline detection parameters (event location) are presented. The results shows satisfactory proof of concept as well as reliable energy dissipation pattern for the pipeline traffic upload into the Cloud analytics dashboard.

Keywords:

Internet of Things , Energy Models , Fluid dynamics , WAN , Pipeline designs , QoS