UAV-assisted WSN, as well as method for designing node scheduling, route planning and power distribution of same

A wireless sensor network and path planning technology, which is applied in the field of wireless communication technology and the Internet of Things, and can solve the problems of difficult solution process and low transmission power.

Inactive Publication Date: 2018-09-21
ZHENGZHOU UNIVERSITY OF AERONAUTICS
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Especially for UAVs with limited transmission power, how to use the least transmission power within a certain period of time to meet the data transmission rate requirements from the UAV base station to the terminal node, which is the key to UAV-assisted wireless sensing An important problem facing the Internet that has not yet been tackled by researchers
In order to effectively reduce the transmissio...

Method used

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  • UAV-assisted WSN, as well as method for designing node scheduling, route planning and power distribution of same
  • UAV-assisted WSN, as well as method for designing node scheduling, route planning and power distribution of same
  • UAV-assisted WSN, as well as method for designing node scheduling, route planning and power distribution of same

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Embodiment Construction

[0067] The system model of the method of the present invention is as figure 1 Shown. Combine below figure 2 The algorithm flow chart shown in the present invention specifically illustrates a non-UAV-assisted wireless sensor network based on the minimization of transmit power and its node scheduling and path planning power allocation, including the following steps:

[0068] 1). Establish a three-dimensional space rectangular coordinate system (x, y, z), and the z-axis coordinates represent the height and position information of the space. K single-antenna ground terminal nodes are randomly distributed at fixed positions in the xy plane, and the position coordinates of the kth ground terminal node are (x k ,y k ,0) T , And the position coordinates of all terminal nodes form a set w k =(x k ,y k ,0) T . The UAV base station node flies in a three-dimensional space according to a certain path, and has a fixed flying height H. The single flight time of the UAV base station is T, and...

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Abstract

The invention discloses a UAV (Unmanned Aerial Vehicle)-assisted WSN (Wireless Sensor Network), as well as a method for designing node scheduling, route planning and power distribution of the same, and belongs to the technical field of wireless communication and IOT (Internet Of Things). The UAV-assisted WSN consists of a UAV aerial base station and K single-antenna ground terminal nodes. The method of the invention is characterized by aiming at minimizing system power consumption, considering constraint conditions such as a data transmission rate of the terminal node, a flight speed of the UAV and a transmitting power of the UAV, building a mathematical optimization model by taking a scheduling variable of the terminal node, a flying route of the UAV and a transmitting power variable of the UAV as parameters, respectively converting two sub-problems decomposed from a non-convex optimization problem of mixed integer variables into upper bound convex problems corresponding to the two sub-problems, alternately iterating sub-optimization problems through a block coordinate descent method and an interior point method, and obtaining a suboptimal parameter solution for scheduling of theterminal node, the flying route and the power distribution of the UAV.

Description

Technical field [0001] The invention belongs to the technical field of wireless communication technology and the Internet of Things, and specifically relates to an unmanned aerial vehicle-assisted wireless sensor network based on the minimization of transmission power and a node scheduling and path planning power allocation design method. Background technique [0002] The rapid development of Unmanned Aerial Vehicle (UAV) technology has brought many new opportunities and challenges to related industries that rely on aerial mobile platforms, such as road traffic management, forest fire insurance monitoring, disaster epidemic monitoring, and unmanned Machine cargo distribution, relay emergency communications, load balancing of base stations in hotspots, etc. Especially in the traditional communication system, the convenient deployment, wireless backhaul, high-speed movement and other characteristics of the drone can be used to integrate advanced transceivers and smart sensor equipm...

Claims

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Application Information

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IPC IPC(8): H04W52/02H04W52/28H04W52/36G06Q10/04
CPCG06Q10/047H04W52/0203H04W52/0206H04W52/282H04W52/367Y02D30/70Y02T10/40
Inventor 王毅华梦马鹏阁范远璋郭慧张松炜刘建强栗彦芬刘兆瑜陶然
Owner ZHENGZHOU UNIVERSITY OF AERONAUTICS
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