Networking method of wireless sensor network based on combination of cluster and Mesh

Abstract

The invention provides a new networking method for a wireless sensor network, which adopts a mixed networking method of Mesh and clustered topology. The method comprises four devices of sink nodes, backbone nodes, cluster-head nodes and cluster-member nodes, wherein, the backbone nodes form a systematic backbone network through Mesh topology structure, and other nodes carry out networking according to the clustered topology form and are divided into the cluster-head nodes and the cluster-member nodes, wherein, a plurality of cluster-member nodes are under the management of the cluster-head nodes which are also responsible for reporting to the backbone nodes; a plurality of the cluster-head nodes are under the management of the backbone nodes. The three kinds of nodes of the backbone nodes, the cluster-head nodes and the cluster-member nodes carry out networking interactively through distributed information. Collection nodes are mainly responsible for the collection of network sensor data and part of network management work. By virtue of the mixed networking method of Mesh and clustered topology, the new networking method of the invention can fully utilize the conductivity of the Mesh network and reciprocal multi-hop communication, and the advantages of the clustered structure in energy saving and management, thereby effectively realizing the state management, sleep management and data transmission of the nodes in the wireless sensor network at a relatively large scale.

Description

technical field [0001] The invention relates to a novel networking method in the field of wireless sensor network communication. Background technique [0002] With the rapid development and maturity of sensor technology, wireless communication technology, embedded computing technology, and distributed information processing technology, micro-sensors and networks with perception, computing, and communication capabilities have begun to appear on a large scale. The wireless sensor network can collaboratively detect, track and collect information of various environments or monitoring objects in the network deployment area in real time, and carry out collaborative and fusion processing on these information to obtain more accurate conclusions, and then transmit them to users. It has broad application prospects in military, environmental monitoring, medical and health, industrial automation, public safety and so on. [0003] Micro sensor nodes are generally powered by batteries, w...

AI Technical Summary

Problems solved by technology

There are several types of existing clustering methods, such as Low Energy Adaptive Clustering Hierarchy (LEACH), Hybrid Energy-Efficient Distributed Clustering (HEED), etc., mainly focusing on how to form basic The cluster structure does not consider the effective inter-cluster communication mechanism, but simply assumes that the cluster head can jump to the base station. This assumption is too harsh and difficult to realize for energy-constrained sensor nodes.

Although the well-known S-MAC protocol also proposes the idea of ​​virtual clustering, it is still a flat structure in terms of topology control, so it cannot effectively support the needs of large-scale networks, and the S-MAC itself has inherent limitations in its design. Such as: the burden of border nodes is too heavy, there is no network energy balance mechanism, and data fusion cannot be effectively supported.

Zigbee proposed a cluster tree topology control mechanism on the basis of 802.15.4, but this scheme is a completely centralized networking method, which has high requirements for network layout, and in terms of network

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