Expandable wireless sensor network clustering method

Abstract

The invention aims at reducing the energy consumption problem resulting from network reconstruction and providing an expandable wireless sensor network clustering method. In a selection process of candidate cluster heads, the residual energy of nodes in the network is taken into consideration; and in the selection process of cluster heads, factors such as the residual energy of candidate nodes, the number of neighbor nodes of the candidate cluster heads and the value degree from each node to the candidate cluster heads are taken into consideration, so a life cycle of the network can be prolonged. When the average energy in clusters is greater than certain threshold, re-clustering does not need to be carried out in a whole network range, and the new cluster heads are only selected in the clusters. When new nodes add the network, network access permission values are introduced, the clusters to which the nodes need to add are selected by taking position distribution of the nodes, the energy of the cluster head nodes and load values of corresponding clusters into consideration.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and relates to an expandable wireless sensor network clustering method. Background technique [0002] Wireless Sensor Networks (WSNs) integrate sensor technology, wireless communication technology and database processing technology. It is composed of nodes with sensing, computing and communication capabilities. It is a new type of data-centric wireless network. The main function is to collect the information of the monitoring area where the sensor node is located, and transmit it to the base station after certain processing to realize the monitoring of the physical world. Wireless sensor networks have been widely used in various fields such as industry, agriculture, military affairs, environmental monitoring, and medical monitoring. [0003] In WSNs, node energy is limited, and node energy depletion will affect the performance of the entire network. The energy consumption of no...

AI Technical Summary

Problems solved by technology

In the planar routing protocol, since there is no central management node in the network, the optimization of network resources cannot be realized, and the number of data hops from the source node to the destination node is large, and the data delay is long, so it is not suitable for large-scale networks. The development trend of WSNs is that the scale is getting larger and larger, so the flat routing protocol cannot adapt to the current development trend of WSNs

Images