Wireless Mesh intelligent power grid routing mechanism with QoS perceiving and loading balancing

Abstract

The invention provides a wireless Mesh intelligent power grid routing mechanism NQA-LB with QoS perceiving and loading balancing. The mechanism comprises four steps: firstly differentiating intelligent power grid service flows with different QoS requirements through an EDCA mechanism, and calculating the frame error rate of different service flows according to the data packet collision rate of the EDCA mechanism; secondly, calculating data packet queuing delay with different priorities of the queue length of forwarding node cache and the successful transmission probability of data packets; then designing the routing metric of QoS perceiving and loading balancing by comprehensively considering the data frame error rate and queuing delay of different service flows, and selecting an optimal path with less load for the service flow with different QoS demands; finally dynamically adjusting the data packet priority on an MAC layer according to network total loading and loading conditions of all priority service flows. The mechanism can more accurately perceive the link quality of the MAC layer, guarantees the QoS demands of different service flows of a power grid, further increases the data packet delivery rate and average throughput capacity, and reduces the end-to-end delay of all service flows.

Description

technical field [0001] The invention belongs to the technical field of smart grid and wireless communication, and in particular relates to a wireless Mesh smart grid routing mechanism for QoS perception and load balancing. Background technique [0002] With the rapid development of the global economy, users have higher and higher requirements on the power system, and the traditional power network is facing many challenges, including meeting user needs, diversifying energy sources and optimizing equipment costs, etc. Because the traditional power grid lacks distributed energy access and does not support real-time interaction between the user end and the power supply end, and lacks reliability and flexibility, it cannot overcome these challenges, let alone meet the requirements of energy cleanliness and efficiency. Under the new situation, smart grid emerges as the times require, and will become the mainstream trend in the development of the next generation grid. [0003] Est...

AI Technical Summary

Problems solved by technology

[0004] Although the IEEE 802.11s wireless Mesh network has a good application prospect in the smart grid neighbor area network, it faces many challenges in practical application: (1) In the routing criterion of the IEEE 802.11s default routing protocol—HWMP, the fixed-length The test frame and simple frame error rate calculation cannot meet the QoS requirements of different business flows in the smart grid neighbor area network

(2) Although 802.11s uses the EDCA mechanism at the MAC layer to distinguish different service flows, when the network load is heavy and the network is congested, the fixed parameters cannot meet the QoS requirements of the smart grid

(3) 802.11s cannot achieve network load balancing, because the default routing criterion ALM always selects the path with the highest transmission rate, which may lead more data flows to this path, increasing the load of forwarding nodes, resulting in The end-to-end delay of the data packet increases, and more congestion makes the throughput of the entire network decrease

At present, most of the research on the above-mentioned problems is only for one-sided research, without comprehensive consideration of the particularity of the network traffic flow in the neighboring area, especially in the load balancing aspect.

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