Gradient based energy-efficient uneven clustering data forwarding method

Abstract

The invention discloses a gradient based energy-efficient uneven clustering data forwarding strategy designing method in the wireless sensor network. In a conventional data forwarding strategy based on an even clustering technology, the problem of unbalanced energy consumption is caused by multi-hop routing realized by a backbone network constituted by cluster-head nodes, that is, the network is partitioned and the network survival time is shortened due to the fact that the cluster-head node close to a base station forwards mass data, is excessively loaded, untimely consumes the energy and loses efficacy. Therefore, a clustering mechanism is operated on a gradient model, and data forwarding is completed through uneven clustering and dynamic selection based on node energy, the number of non-cluster-head nodes and low-gradient key nodes in the opposite positions of the nodes so as to improve the energy efficiency of inter-cluster communication. According to the designing method provided by the invention, the energy overhead of the network is reduced while the energy consumption among the nodes can be balanced, so that the utilization rate of network resources is improved, and the network survival time is maximized.

Description

technical field [0001] The invention relates to a wireless sensor network data forwarding technology, in particular to a gradient-based energy efficient non-uniform clustering data forwarding method. Background technique [0002] Different from the data forwarding strategy of the traditional wireless network, the design of the data forwarding strategy of the wireless sensor network mainly considers the energy efficiency of the node, the redundancy of the data and the energy consumption of the data transmission, etc., and the corresponding data needs to be designed according to different application requirements. forwarding strategy. Sensor nodes in wireless sensor networks are usually powered by batteries and are not rechargeable. With the operation of the network, some sensor nodes will run out of battery energy, making the network in a disconnected state, resulting in interruption of network data transmission. Therefore, the data forwarding strategy is As one of the key t...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: most wireless sensor network data forwarding methods based on non-uniform clustering do not consider the energy efficiency of cluster head selection optimization and inter-cluster multi-hop communication, and do not consider the distance between nodes when selecting cluster heads , the position of the cluster head in the cluster is uncertain. When the range of the cluster is large, the distance between the nodes in the cluster and the cluster head differs greatly. The energy consumption of nodes is unbalanced; the distance between nodes and the number of non-cluster-head nodes are not considered when data is forwarded between clusters. Since the energy consumption of communication between nodes is proportional to the distance of signal transmission, when the distance between nodes is large, the Communication energy consumption between nodes

Images