Efficient ad hoc network routing method for wireless sensor network

Abstract

The invention provides an efficient ad hoc network routing method for a wireless sensor network. A tree-form route formed by a microwave communication station, routing nodes and sensor nodes is included. The method comprises the steps of (a) generating weight according to the energy needing to be consumed from the routing nodes to the microwave communication station, the residual energy of the routing nodes and the number of the sensor nodes mounted on the routing nodes, generating and updating a routing table dynamically, and forming a backbone network for processing and transmitting data; (b) generating the weight according to the energy needing to be consumed from the sensor nodes to the routing nodes and the subnet scale managed by the routing nodes, generating and updating a routing table dynamically, and forming a sub network for collecting and transmitting data. The efficient ad hoc network routing method for the wireless sensor network effectively improves the energy efficiency of a routing system and the efficiency of data transmission.

Description

Technical field [0001] The invention relates to a routing method, in particular, a wireless sensor-based routing establishment method. Background technique [0002] With the continuous development of wireless technology, a variety of wireless communication standards have emerged one after another. As one of the communication standards, Zigbee has laid a technical foundation for the development of wireless sensor networks. The wireless sensor network based on the Zigbee standard can adopt topologies such as star, tree and mesh. In practical applications, according to different application scenarios. Different topologies can be used. Small networks often use star topology, which is easy to expand, maintain, and manage. However, the pressure on the central node is high. Once the central node fails, the network will be paralyzed. The most commonly used is the tree topology, which is easy to connect, easy to manage and easy to maintain. It is conducive to the synchronization be...

AI Technical Summary

Problems solved by technology

Different topologies can be used. Small networks often use star topology, which is easy to expand, maintain, and manage. However, the pressure on the central node is high. Once the central node fails, the network will be paralyzed

The most commonly used is the tree topology, which is easy to connect, easy to manage and easy to maintain. It is conducive to the synchronization between the parent and child nodes during communication and reduces the power consumption of the nodes. However, once the routing node fails in this structure , the subnetwork will be paralyzed

Mesh network, this structure has strong fault tolerance, there is no fixed path, and the optimal path can be dynamically selected if one path fails, but its scalability is poor. After the network scale expands, the routing algorithm is the biggest bottleneck, and the routing selection will consume too much energy of

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