Wireless Mesh network self-adapting routing method based on throughput performance

Abstract

The invention discloses a wireless Mesh network self-adapting routing method based on throughput performance. Each node maintains a link quality database according to the packet loss ratio of probe packets by broadcasting the probe packets outwards and receiving the probe packets sent by neighbor nodes; a hidden node is introduced to the occupied weight and calculation of throughput; a database records the link quality information between the node and the neighbor nodes thereof and a metric value is used for expression; the metric value is used for calculating the quality of each specific route. A route request is flooded into the whole network as required, and a router having an optimal metric value is taken as an optimal router to be recorded by each node. By broadcasting gateway information, a gateway node maintains the knowability and accessibility in the whole wireless Mesh network, namely, the active trace of an egress router by all nodes. The method solves the problem of performance degradation caused by the insufficient consideration about the hidden node.

Description

technical field [0001] The invention relates to a routing method in the technical field of wireless networks, in particular to a wireless Mesh network adaptive routing method based on throughput performance. Background technique [0002] Wireless Mesh network is a technology widely used in wireless access, municipal management, disaster relief, security monitoring, industrial management, logistics collaboration and other fields. The design of its routing method directly affects the performance and efficiency of wireless Mesh network. Because wireless mesh networks have performance requirements of self-organization, self-recovery, and self-adaptation, as well as background characteristics of mobility and changing environments, the routing method of wireless mesh networks must take care of the stability of the network on the one hand and ensure the smooth flow of data communication. On the other hand, it must be able to quickly converge to ensure that when the network topology...

AI Technical Summary

Problems solved by technology

However, this routing method is based on the number of hops for routing selection. First of all, it cannot reflect the complex and changeable characteristics of the network, which will lead to a decrease in network efficiency.

At the same time, the constraints based on the maximum number of hops will directly cause the system to fail to adapt the parameter of the maximum number of hops to the network conditions when the network scale changes, which will eventually lead to system disorder

Moreover, using only two threshold loads of the system as an adaptive condition is too simple to respond properly to the complexity of the actual application environment

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