CN107071929A - A kind of sensing cloud method of data capture of mobile base station - Google Patents
A kind of sensing cloud method of data capture of mobile base station Download PDFInfo
- Publication number
- CN107071929A CN107071929A CN201710212800.3A CN201710212800A CN107071929A CN 107071929 A CN107071929 A CN 107071929A CN 201710212800 A CN201710212800 A CN 201710212800A CN 107071929 A CN107071929 A CN 107071929A
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- base station
- node
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- master reference
- mobile base
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a kind of sensing cloud method of data capture of mobile base station, it is characterised in that:Comprise the following steps, step 1:Selected target mobile base station, is divided into 5 detection zones;Step 2:Detection zone in step 1 is respectively mounted a master reference in host node position, and N number of sub-sensor, in partial node position;Wherein N is the natural number more than 2;Step 3:The stationary point position group constituted to master reference using TSP algorithms, designs optimal access path as the mobile route of base station, when base stations stationary point, and sub-sensor node location is by the master reference position of the incoming matching of data;Step 4:The time T1 that each master reference node transmits data is counted, the time T2 of master reference, two progress matching contrasts are transferred data to sub-sensor node;Draw time difference T=T1 T2.In the step 4:Time difference T is drawn, when T is positive number, existing partial node is reduced;When T is negative, existing node location is constant.
Description
Technical field
The present invention relates to a kind of collection method, and in particular to a kind of sensing cloud method of data capture of mobile base station.
Background technology
Contemporary sensor network technique has been widely used in different fields, and such as medical treatment & health is monitored, Forest Fire
Danger detection, smart home etc..In the application process of these sensor networks, mass data can be constantly produced, and these are counted
Collected in time according to needs and upload to management level.However, the hardware facility of the node in sensor network has certain limitation, such as
Sensor node is to be battery powered, therefore finite energy, and its data storage and disposal ability are limited.These shortcomings can
Shorten effective operational lifetime of sensor network.However, the appearance of cloud computing brings new technology to dash forward for sensor network
It is broken.It is well known that cloud computing has the ability such as powerful data storage and processing.Therefore, sensor network is mutually tied with cloud computing
Conjunction disclosure satisfy that more application demands, and there is provided more preferable service quality.
In sensing cloud system, due to the communication capacity that sensor network is limited, how the perception data being collected into be existed
High in the clouds is uploaded in the limited time turns into a technology short slab of sensing cloud system.In certain applications, this short slab can band
Carry out huge threat.As in risk of forest fire monitoring system, the substantial amounts of perception data such as temperature, humidity, gas concentration needs timely
Upload to high in the clouds and carry out data processing and monitoring result anticipation etc..When the non-reaching on the time high in the clouds of data, then when most preferably rescuing
Between will be missed, and cause huge loss and security threat.
On the other hand, with the development of sensor network, mobile base station is widely used in Sensor Network Data Collection.
The introducing of mobile base station can not only extend network lifetime, and mobile base station with the traffic load of balance sensor node
Perception data is collected by mobile, the energy expenditure of node multi-hop transmission is reduced, meanwhile, the energy of mobile base station can lead to
Overcharge or replacement are fed.However, because the speed of mobile base station is limited, one being carried out to sensor network and takes turns data receipts
Collection usually needs to expend several hours, it is impossible to meet the application of time delay limitation.
The content of the invention
The technical problems to be solved by the invention are that sensor network is further, quickly collect information, it is therefore intended that provide
A kind of sensing cloud method of data capture of mobile base station, solves sensor network further, the problem of quickly collecting information.
The present invention is achieved through the following technical solutions:
A kind of sensing cloud method of data capture of mobile base station, it is characterised in that:Comprise the following steps, step 1:Selected mesh
Mobile base station is marked, 5 detection zones are divided into;Step 2:Detection zone in step 1 is respectively mounted a master reference in master
Node location, and N number of sub-sensor, in partial node position;Wherein N is the natural number more than 2;Step 3:Utilize TSP algorithms pair
The stationary point position group of master reference composition, designs optimal access path as the mobile route of base station, when base stations stationary point
When, sub-sensor node location is by the master reference position of the incoming matching of data;Step 4:Count each master reference node
The time T1 of data is transmitted, the time T2 of master reference, two progress matching contrasts are transferred data to sub-sensor node;
Go out time difference T=T1-T2.With the development of sensor network, mobile base station is widely used in Sensor Network Data Collection.
The introducing of mobile base station can not only extend network lifetime, and mobile base station with the traffic load of balance sensor node
Perception data is collected by mobile, the energy expenditure of node multi-hop transmission is reduced, meanwhile, the energy of mobile base station can lead to
Overcharge or replacement are fed.However, because the speed of mobile base station is limited, one being carried out to sensor network and takes turns data receipts
Collection usually needs to expend several hours, it is impossible to meet the application of time delay limitation, and the technical problems to be solved by the invention are sensings
Device network further, quickly collects information, traditional be all used branch sensor node uniform transmission to base station data, by
In the distance of distance, base station collection information time is different in size, so the present invention has invented a kind of information gathering data method, one
Base station center is circle, sets master reference point and sub-sensor point, data transfer is improved by the data transfer of segmented
Quality.
In the step 4:Time difference T is drawn, when T is positive number, existing partial node is reduced;When T is negative, existing section
Point position is constant.This preferred scheme of the invention, the further cost for saving data transfer, when T is negative, illustrates point
Zhi Jiedian speed is slower than the transmission speed of host node, belongs to normal range (NR), will not cause to repeat transmission information, when T is positive number
When, the speed of branch node is faster than host node, and this, which can cause host node to transmit data, to repeat, so needing to reduce branch's section
Point.
The position of the node uses Prim algorithms, is used as the preferred scheme of the present invention.
The present invention compared with prior art, has the following advantages and advantages:
1st, the sensing cloud method of data capture of a kind of mobile base station of the invention, sets master reference point and sub-sensor point,
The quality of data transfer is improved by the data transfer of segmented;
2nd, a kind of sensing cloud method of data capture of mobile base station of the invention, the about cost of data transfer, when T is negative
When, illustrate that the speed of branch node is slower than the transmission speed of host node, belong to normal range (NR), will not cause to repeat transmission information;
3rd, the sensing cloud method of data capture of a kind of mobile base station of the invention, when T is positive number, the speed of branch node is fast
In host node, this, which can cause host node to transmit data, to repeat, so needing to reduce branch node.
Embodiment
For the object, technical solutions and advantages of the present invention are more clearly understood, with reference to embodiment, to present invention work
Further to describe in detail, exemplary embodiment and its explanation of the invention is only used for explaining the present invention, is not intended as to this
The restriction of invention.
Embodiment
A kind of sensing cloud method of data capture of mobile base station of the present invention, a kind of sensing cloud Data Collection side of mobile base station
Method, it is characterised in that:Comprise the following steps, step 1:Selected target mobile base station, is divided into 5 detection zones;Step 2:Will step
Detection zone in rapid 1 is respectively mounted a master reference in host node position, and N number of sub-sensor, in partial node position;Its
Middle N is the natural number more than 2;Step 3:The stationary point position group constituted using TSP algorithms to master reference, designs optimal access
Path is as the mobile route of base station, and when base stations stationary point, sub-sensor node location is by the main biography of the incoming matching of data
Sensor position;Step 4:The time T1 that each master reference node transmits data is counted, data are transmitted with sub-sensor node
To the time T2 of master reference, two progress matching contrasts;Draw time difference T=T1-T2.In the step 4:Draw the time difference
T, when T is positive number, existing partial node is reduced;When T is negative, existing node location is constant.The position of the node is used
Prim algorithms, during work:When T is positive number, the speed of branch node is faster than host node, and this can cause host node to transmit data
It can repeat, so needing to reduce branch node.
Above-described embodiment, has been carried out further to the purpose of the present invention, technical scheme and beneficial effect
Describe in detail, should be understood that the embodiment that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc. all should be included
Within protection scope of the present invention.
Claims (3)
1. a kind of sensing cloud method of data capture of mobile base station, it is characterised in that:Comprise the following steps,
Step 1:Selected target mobile base station, is divided into 5 detection zones;
Step 2:Detection zone in step 1 is respectively mounted a master reference in host node position, and N number of sub-sensor,
In partial node position;Wherein N is the natural number more than 2;
Step 3:The stationary point position group constituted using TSP algorithms to master reference, designs optimal access path as base station
Mobile route, when base stations stationary point, sub-sensor node location is by the master reference position of the incoming matching of data;
Step 4:The time T1 that each master reference node transmits data is counted, main biography is transferred data to sub-sensor node
The time T2 of sensor, two progress matching contrasts;Draw time difference T=T1-T2.
2. a kind of sensing cloud method of data capture of mobile base station according to claim 1, it is characterised in that:The step
In 4:Time difference T is drawn, when T is positive number, existing partial node is reduced;When T is negative, existing node location is constant.
3. a kind of sensing cloud method of data capture of mobile base station according to claim 1, it is characterised in that:The node
Position use Prim algorithms.
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CN201710212800.3A CN107071929A (en) | 2017-04-01 | 2017-04-01 | A kind of sensing cloud method of data capture of mobile base station |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN110519720A (en) * | 2019-08-23 | 2019-11-29 | 绍兴文理学院 | Bursty traffic maps load capacity optimization method under a kind of sensing cloud environment |
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CN101827460A (en) * | 2009-03-02 | 2010-09-08 | 财团法人资讯工业策进会 | Node device for sensor network and node number adjusting method |
CN102946626A (en) * | 2012-11-16 | 2013-02-27 | 北京航空航天大学 | Node sleeping scheduling method under environment of several-for-one clustering wireless sensor network |
US20160299256A1 (en) * | 2015-04-10 | 2016-10-13 | Google Inc. | Monitoring external vibration sources for data collection |
CN106304110A (en) * | 2016-08-09 | 2017-01-04 | 华侨大学 | A kind of sensing cloud method of data capture based on many mobile base stations |
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2017
- 2017-04-01 CN CN201710212800.3A patent/CN107071929A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN101827460A (en) * | 2009-03-02 | 2010-09-08 | 财团法人资讯工业策进会 | Node device for sensor network and node number adjusting method |
CN102946626A (en) * | 2012-11-16 | 2013-02-27 | 北京航空航天大学 | Node sleeping scheduling method under environment of several-for-one clustering wireless sensor network |
US20160299256A1 (en) * | 2015-04-10 | 2016-10-13 | Google Inc. | Monitoring external vibration sources for data collection |
CN106304110A (en) * | 2016-08-09 | 2017-01-04 | 华侨大学 | A kind of sensing cloud method of data capture based on many mobile base stations |
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CN110519720A (en) * | 2019-08-23 | 2019-11-29 | 绍兴文理学院 | Bursty traffic maps load capacity optimization method under a kind of sensing cloud environment |
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