Sensor network clustering method based on fairness and energy consumption rate

Abstract

The invention discloses a sensor network clustering method based on fairness and energy consumption rate, and the method comprises the steps: simulating an energy heterogeneous sensor network scene ina monitoring sensor network such as a factory, a workshop, a gas station and the like, and designing the clustering method based on the fairness and the energy consumption rate. The energy consumption of nodes is reduced, the life cycle of a network is prolonged, and the load balance angle is increased. The residual energy of the nodes, the energy consumption speed, the energy hot area problem and the fairness of selecting cluster heads among different types of nodes are considered, so that the network can select the cluster heads more reasonably, and the consideration factors of the clustering method in the complex energy heterogeneous wireless sensor network environment are increased. In the inter-cluster transmission phase, if the BS of the base station is far away from the monitoringarea of the sensor network, the inter-cluster multi-hop transmission mode based on the genetic algorithm is adopted to transmit the monitoring information to the base station BS, so that the energy loss on a transmission path caused by the fact that the cluster head is far away from the BS is reduced, the energy utilization rate is improved, the node mortality rate is reduced, and the life cycle of the network is prolonged.

Description

technical field [0001] The invention belongs to the field of clustering methods for wireless sensor networks, and in particular relates to a clustering method for energy heterogeneous sensor networks based on fairness and energy consumption rate. Background technique [0002] With the continuous advancement of the information technology society, people's demand for the collection, acquisition, analysis and processing of information in daily life is becoming stronger and stronger, and more and more scenarios require the use of micro-sensors, such as water source monitoring in forest habitats , Intelligent robot warehouses, and the anti-intrusion of airport side fences are all deployed with sensor networks. Due to the characteristics of small size and high integration of wireless sensor nodes, they need to transmit information frequently. As a result, nodes are often troubled by power, and when the power of the node is exhausted, it will die. If there are many dead nodes in t...

AI Technical Summary

Problems solved by technology

At present, the clustering methods for energy heterogeneous sensor networks are mostly based on the initial energy and residual energy of nodes, and there are still some deficiencies in the combination of node residual energy, energy consumption rate and fairness, that is, in the selection process of cluster heads, individual The speed of energy consumption by nodes, and the fairness of different types of nodes becoming cluster heads, and the overall load balancing of the network still need to be optimized

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