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Sensor emission energy consumption optimization method of multi-antenna unmanned aerial vehicle data acquisition system

A technology of data acquisition system and optimization method, applied in the direction of reducing energy consumption, wireless communication, vehicle wireless communication service, etc., can solve difficult energy supplement and other problems, and achieve the goal of minimizing energy consumption, prolonging battery life, and reducing transmission power Effect

Active Publication Date: 2020-07-31
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Considering that IoT devices may be deployed in environments without terrestrial wireless infrastructure (such as mountainous and desert areas), it is difficult to replenish energy

Method used

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  • Sensor emission energy consumption optimization method of multi-antenna unmanned aerial vehicle data acquisition system
  • Sensor emission energy consumption optimization method of multi-antenna unmanned aerial vehicle data acquisition system
  • Sensor emission energy consumption optimization method of multi-antenna unmanned aerial vehicle data acquisition system

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Embodiment Construction

[0040] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0041] The UAV communication network uses the UAV as an air base station, and collects data from sensor nodes during the flight through the communication equipment carried by it. Compared with the traditional ground network, UAV base station communication can quickly establish a corresponding communication network, and will not be affected by ground road conditions. For this type of unmanned aerial vehicle data acquisition system, the present invention proposes a sensor emission energy optimization method for a multi-antenna unmanned aerial vehicle data acquisition system.

[0042] Such as figure 1As shown, in one embodiment, the multi-antenna UAV data acquisition system system is an uplink communication system composed of a UAV with M antennas and K sensor nodes; the flying height of the UAV is H, and at Within the limited time T, the UAV s...

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Abstract

The invention discloses a sensor emission energy consumption optimization method of a multi-antenna unmanned aerial vehicle data acquisition system, and is suitable for an Internet-of-Things communication scene. The data acquisition system comprises a single multi-antenna unmanned aerial vehicle and a plurality of sensors. The single multi-antenna unmanned aerial vehicle serves a plurality of ground sensor nodes as an air base station, and the method comprises the following steps: establishing a channel fading model and a corresponding system model according to geographic positions of the sensor nodes and the unmanned aerial vehicle and an air-to-ground wireless channel model; establishing an optimization problem according to the flight time constraint of the unmanned aerial vehicle, the transmitting power constraint of the sensor node and the link transmission rate constraint, wherein the optimization problem minimizes the maximum energy consumption of the sensor node by optimizing the speed of the unmanned aerial vehicle and the signal transmitting power of the sensor node; and solving the optimization problem to obtain an optimal navigation speed of the unmanned aerial vehicle and a sensor node power distribution scheme. According to the invention, the energy consumption can be minimized, and the cruising ability of the sensor node equipment is prolonged.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method for optimizing sensor emission energy consumption of a multi-antenna unmanned aerial vehicle data acquisition system. Background technique [0002] At present, the establishment and realization of the communication network mainly depends on ground base stations or relays and other fixed communication equipment. Although these devices can provide relatively stable communication requirements, their immobile characteristics lead to certain limitations in deployment and high costs. In an IoT environment, energy efficiency, ultra-low latency, reliability, and high-speed uplink communication become major challenges. IoT devices are very limited by batteries and often cannot transmit over long distances due to their energy limitations. Drones are an effective means of solving the many challenges associated with the Internet of Things. At present, t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/40H04W24/02H04W52/28H04W52/30H04W52/38
CPCH04W4/40H04W24/02H04W52/282H04W52/30H04W52/38Y02D30/70
Inventor 蔡曙陈龙张军郭永安张卫东
Owner NANJING UNIV OF POSTS & TELECOMM
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