Optimal cluster head number selection method for prolonging network lifetime in wireless communication

Abstract

The invention relates to an optimal cluster head number selection method for prolonging network lifetime in wireless communication. The optimal cluster head number q in a fixed node is calculated through optimization analysis, wireless sensing nodes are divided into q clusters, the cluster head workload and the data fusion efficiency approach to the best balance state, energy consumption of a wireless sensing network is saved, and the purpose of prolonging the effective lifetime of the network is achieved; each node in the cluster serves as the cluster head in turns, energy consumption of nodes in the cluster more approaches to balance, and a phenomenon that an individual node fails in advance due to over large energy consumption can be prevented from happening. In wireless network communication by adopting a low-power consumption adaptive hierarchical clustering protocol, as a node commonly adopts a battery for power supply, in order to reduce the energy consumption of the system to achieve the purpose of prolonging the effective lifetime of the network, the clustering number of the node is subjected to optimization calculation, and the cluster head workload and the data fusion efficiency approach to the best balance state.

Description

technical field [0001] The invention relates to the field of wireless sensor network communication, in particular to a method for selecting the optimal number of cluster heads in a Zigbee wireless communication network in order to prolong the effective life cycle of the network, in particular to a low-power self-adaptive grouping hierarchical routing protocol. Background technique [0002] With the development of wireless communication technology, wireless measurement and control nodes are widely used in many special environments such as uninhabited areas, remote areas, and battlefields. However, most wireless sensor nodes cannot be powered by mains power, and must be powered by batteries. The current world The growth of battery capacity technology is slow. At the same time, factors such as physical volume and cost reduction need to be taken into account. Saving energy consumption of nodes is very important. When the energy of the node power supply battery is lower than the ...

AI Technical Summary

Problems solved by technology

When there are too few cluster-head nodes, the area covered by each cluster is too large, the communication distance between ordinary nodes and cluster-head nodes is too large, and the energy consumption of communication between each other will increase accordingly. Too many node data that cluster heads need to receive and fuse is not conducive to optimizing the effective life cycle of the network; on the contrary, too many cluster head nodes will reduce the efficiency of data fusion and lose the significance of node clustering

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