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Wireless sensor network unmanned aerial vehicle system communication method based on optimization particle swarm algorithm

A particle swarm algorithm and wireless sensor network technology, which is applied in the field of wireless sensor network UAV system communication based on optimized particle swarm algorithm, can solve the problem of excessive node energy consumption, insufficient network life, unbalanced network energy, etc. problems, to avoid hot issues, good network load balance, and avoid energy imbalance

Active Publication Date: 2018-07-20
YANGZHOU UNIV
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AI Technical Summary

Problems solved by technology

[0004] However, the existing wireless sensor network UAV system communication adopts the method of dividing multiple areas and setting up multiple base stations for communication. However, because the base station can only collect data in a fixed area and the energy of the UAV is limited, etc., the cluster Inter-communication consumes a lot of energy, and the energy of the network is unbalanced. There is a so-called "hot spot problem", that is, the sensor node that is closer to the base station causes the energy consumption of the node to be too fast because of forwarding the data of other nodes. At the same time, due to The base stations in each area are fixed, and there is still the problem that the network life is not long enough

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  • Wireless sensor network unmanned aerial vehicle system communication method based on optimization particle swarm algorithm
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  • Wireless sensor network unmanned aerial vehicle system communication method based on optimization particle swarm algorithm

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Embodiment Construction

[0021] The present invention is based on the optimized particle swarm algorithm wireless sensor network unmanned aerial vehicle system communication method, is used for such as figure 1 The shown wireless sensor unmanned aerial vehicle system network composed of unmanned aerial vehicle (1), ground communication station (2) and multiple ground wireless sensor nodes (3), wherein the unmanned aerial vehicle (1) is a mobile node.

[0022] Such as figure 2 Shown, the inventive method comprises the steps:

[0023] (10) Network area division: according to the load and residual energy of wireless sensor nodes (3) in the network area, the entire UAV system network area is divided into multiple sub-areas by using optimized particle swarm optimization algorithm;

[0024] Such as image 3 As shown, the (10) network area division step includes:

[0025] (11) Particle fitness calculation: set the maximum number of iterations of the particle swarm to T max , generate two random numbers ...

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Abstract

The invention discloses a wireless sensor network unmanned aerial vehicle system communication method based on an optimization particle swarm algorithm. The method is used for a wireless sensor unmanned aerial vehicle system network composed of a mobile node unmanned aerial vehicle, a ground communication station (2) and multiple ground wireless sensor nodes (3), and comprises the following steps:(10) network region partition: the whole network region is partitioned into multiple sub-regions by using the optimization particle swarm algorithm; (20), sub-region cluster head selection: a sensornode in each sub-region computes weight sum, and selects a cluster head node; (30) next-hop access node selection: the mobile node accesses the cluster head node with the maximum residual overflow cache time, and then selects the cluster head node needing to be accessed by the next hop of the mobile node; and (40) data transmission: the unmanned aerial vehicle (1) transmits the data to the groundcommunication station (2). Through the wireless sensor network unmanned aerial vehicle communication method disclosed by the invention, the energy consumption is less, the network load equilibrium isgood, and the network life is long.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, in particular to a wireless sensor network UAV system communication method based on optimized particle swarm algorithm with less energy consumption, good network load balance and long network life. Background technique [0002] Wireless sensor networks (WSNs) are composed of a large number of tiny and cheap sensor nodes deployed in a specific monitoring area. These nodes can sense the information in the monitoring area and send the collected data to the sink node. These nodes build a self-organizing network through wireless communication, and the nodes can communicate with each other and perform data transmission. [0003] The wireless sensor network UAV system is a data collection system for mobile aggregation nodes. The architecture is as follows: figure 1 shown. It consists of a drone, several ground wireless sensors and a ground communication station. In the wireless senso...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W28/08H04W40/10H04W40/22H04W84/18
CPCH04W40/10H04W40/22H04W84/18H04W28/082
Inventor 王进季欢居春伟王凯牛俊明
Owner YANGZHOU UNIV
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