Two-stage node scheduling method for wireless sensor network

Abstract

The invention relates to the technical field of wireless sensors, in particular to a two-stage node scheduling method for a wireless sensor network. A centralizing node scheduling mechanism is combined with a distributing node scheduling mechanism, and the two two-stage node scheduling is performed in each cluster after clustering. The method includes: firstly, clustering the network, electing cluster head nodes, and performing cluster head selection to non-cluster-head nodes; secondly, applying the centralizing node scheduling mechanism to the cluster head nodes on the basis of clustering at a first state, and uniformly scheduling member nodes in the clusters; thirdly, using the distributing node scheduling mechanism at a second stage to perform uniform self-scheduling to each member node according to neighboring node information and self residual energy on the basis of a first-stage scheduling result. By the method, network coverage quality is guaranteed, network energy consumption is reduced, and life cycle of the network is prolonged.

Description

technical field [0001] The invention relates to the technical field of wireless sensors, in particular to a two-stage node scheduling method for a wireless sensor network. Background technique [0002] A wireless sensor network is organized by a large number of sensor nodes, which are responsible for sensing data in the network area and sending the sensed data to the base station. The direct management of all nodes through the base station will increase the communication overhead, management delay and management complexity of the network, thereby affecting the real-time performance of the network and increasing the energy consumption of the network. Clustering algorithm is one of the effective methods to solve this problem. The clustering algorithm is to manage sensor nodes in groups according to certain rules. Each cluster selects a cluster head node, which is responsible for data collection in the cluster, management of member nodes, and communication with other clusters....

AI Technical Summary

Problems solved by technology

[0003] In the prior art, some methods consider how to reduce the energy consumption of the network. These methods can effectively reduce the redundant coverage area and the number of nodes in the working state in the network, but there are certain coverage holes in the network. Can't guarantee the coverage quality of the network well

Other methods are mainly considered from the aspect of maintaining the quality of network coverage. These methods can effectively ensure the quality of network coverage, but do not consider the size of the redundant coverage area, and fail to improve the effectiveness of network energy consumption. , this may cause the nodes in some high-density areas to be always in working state, resulting in unbalanced energy consumption of nodes, and the energy of nodes in working state for a long time will be consumed quickly, affecting the life cycle of the network

Images