A mobile energy replenishment method based on virtual backbone network

Abstract

The invention relates to a mobile energy supplementary method based on a virtual backbone network, and belongs to the technical field of the wireless sensor network. In the wireless sensor network, the backbone network can conveniently realize the data aggregation, and is in favor of achieving the high-energy data collection, but the backbone network is faced with a problem that the backbone connection is interrupted since a backbone node is fast in energy consumption and the node energy exhaustion is easy to occur. The fast energy consumption problem of the backbone network node in the wireless sensor network is solved by using the mobile energy supplementary technology, and the energy supplementary on the non-backbone node is further considered. By using the method provided by the invention, the charging priority of the node is computed according to the communication traffic of the node, the node with the largest priority is selected as a charging candidate node to preferentially satisfy the energy demand of the high-load node, and the failure of the node caused by energy exhaustion is effectively avoided. A new method is provided for realizing the long life cycle and sustainablerunning of the wireless sensor network with the backbone network.

Description

technical field [0001] The invention relates to a mobile energy replenishment method based on a virtual backbone network, and belongs to the technical field of wireless rechargeable sensor networks. Background technique [0002] The wireless sensor network is composed of a large number of sensor nodes. The sensor nodes in the network can collect the network environment information within its sensing radius, and aggregate the collected information. After processing, the information is sent to the base station node through multi-hop. , and then the base station uploads the information to the network for user analysis and use. However, wireless sensor nodes are powered by their own batteries, which are limited by volume, cost, battery capacity and other technologies, which means that nodes in the network may fail at any time due to insufficient energy, resulting in network interruption, data loss, and node perception. Coverage hole, even network paralysis, etc. In addition, n...

AI Technical Summary

Problems solved by technology

Energy replenishment is generally charged by a mobile charging device. The charging device can charge it after being close to the node, or it can be charged over a long distance, but the energy loss of long-distance charging is relatively large, and the stability is poor.

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