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Adaptive optimal ad-hoc network method based on multiple robots and Gaussian signal

A signal model and multi-robot technology, applied in the field of communication, can solve problems such as no robot scheduling strategy, and achieve the best communication quality

Active Publication Date: 2017-06-27
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

This method cannot fully consider the influence of the environment on wireless signals, and there is no effective robot scheduling strategy, especially in complex environments, which is difficult to implement, and there are big problems in optimizing the efficiency and quality of the network

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  • Adaptive optimal ad-hoc network method based on multiple robots and Gaussian signal
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  • Adaptive optimal ad-hoc network method based on multiple robots and Gaussian signal

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the description of the drawings and specific embodiments.

[0028] like Figure 1 to Figure 3 As shown, an adaptive optimal ad hoc network method based on multi-robot and Gaussian signal model, including the following steps:

[0029] 1) Step 1: The master robot draws a two-dimensional map of the entire working environment. The present invention uses a laser and a camera to draw a 2D map of the environment, and the specific drawing process is as follows figure 2 shown. The entire drawing process is divided into front-end and back-end. The front end mainly consists of sequential registration and loop closure detection. These two parts are based on the observation information of the sensor to establish the constraint relationship between the robot nodes. The front-end processes the relationship of local data, and the back-end mainly processes the global data. Together, the two complete the cons...

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Abstract

The invention provides an adaptive optimal ad-hoc network method based on multiple robots and a Gaussian signal. The method comprises the following steps that S1.a master robot draws a two-dimensional map of the entire work environment and adopts laser and a camera to draw the two-dimensional map of the environment; S2.the master robot collects WiFi signal sample points of a base station in a process for drawing the two-dimensional map or a random walk process and then carries out modelling on a WiFi signal to form a WiFi signal model; and S3.an optimal relay position of each robot is searched based on the WiFi signal model established in the step S2. The method has the beneficial effects that the influence of the environment on a wireless signal is fully considered, and the spatial position of each relay robot can be automatically scheduled in real time according to the position change of nodes of a communication network in the environment, so that the communication network can obtain the best communication quality quickly.

Description

technical field [0001] The invention relates to communication, in particular to an adaptive optimal ad hoc network method based on multi-robots and a Gaussian signal model. Background technique [0002] In the 21st century, with the development of science and technology, wireless communication technology has undergone tremendous changes. Wireless Local Area Network (WLAN) has mainly experienced five stages of development, and new standards are gradually replacing old standards. Since the birth of the first version of IEEE 802.11 in 1997, its working frequency is 2.4GHz, and the data transmission rate is only 2Mb / s. Later, IEEE802.11a, IEEE 802.11b, IEEE 802.11g and IEEE 802.11n appeared one after another. The working frequency of the mobile phone is also gradually developing from 2.4G to 5G. By January 2014, the latest IEEE 802.11ac was approved. It completely uses the 5GHz frequency band and can provide a maximum transmission rate of 866.7Mb / s. In addition, the IEEE 802.1...

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Application Information

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IPC IPC(8): H04W24/02H04W24/06H04W84/18H04B7/155
CPCH04B7/15507H04W24/02H04W24/06H04W84/18
Inventor 陈浩耀高亚军楼云江李衍杰刘云辉
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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