CN105246079B - A kind of radio intelligent sensing network design method based on TDMA - Google Patents
A kind of radio intelligent sensing network design method based on TDMA Download PDFInfo
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- CN105246079B CN105246079B CN201510711087.8A CN201510711087A CN105246079B CN 105246079 B CN105246079 B CN 105246079B CN 201510711087 A CN201510711087 A CN 201510711087A CN 105246079 B CN105246079 B CN 105246079B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
- H04W16/04—Traffic adaptive resource partitioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
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- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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Abstract
The radio intelligent sensing network design method based on TDMA that the invention discloses a kind of, the communication node of communication station network is divided into backbone node and user node in this method, each subnet has 1 backbone node and multiple user nodes, backbone node has 2 radio station, 1 is used as signaling platform, and 1 is used as service desk；User node only has 1 radio station, it is signaling platform before obtaining service communication frequency point, service desk is automatically brought to after obtaining service communication frequency point, Intellisense network is exactly by operating on signaling platform, it is automatic to carry out network topology maintenance, and each subnet can be coordinated and carry out radio detection and decision, to guarantee that each subnet can find best service communication frequency.Method of the invention can guarantee that network is established rapidly, and the most fast service communication frequency for detecting each subnet, and in addition the entire detection of the present invention and frequency point selection course are handled automatically by decision making algorithm, guarantee that detection process and the frequency point selected will not conflict.
Description
Technical field
The present invention relates to cognitive radio research field, in particular to a kind of radio intelligent sensing network based on TDMA
Design method.
Background technique
Radio communication live in people used in it is more and more, be also exactly broadcast, TV etc..Spatial
Electromagnetic wave become increasingly complex, frequency is more and more rare as a kind of resource.Radio intelligent awareness apparatus is exactly perception and hair
Most clean frequency, is communicated within the scope of the communications band allowed now, to obtain optimal communication efficiency.And for mostly sub
The network communication of net is other than perceiving most clean frequency, it is also necessary to coordinate the frequency of different sub-network, in case network internal is sent out
Raw conflict.In general, it is selected using the ideal of wireless communication technique in the wireless sensor network of wireless sensor node composition
Selecting is ZigBee technology, and energy saving based on its, cost is relatively low, the wireless sensor network for being suitble to number of nodes more.Though
Right ZigBee technology is the ideal solution for realizing wireless sensor network, but is also had in actual engineer application insufficient
On one side.The frequency that ZigBee is used in the world is 2.4GHz, belongs to microwave scope, and feature is that frequency is high, wavelength is short, straight
Line is propagated, and almost can't steer clear of barrier in the propagation direction, along with the radio-frequency emission power of ZigBee node is very low, therefore
ZigBee wireless signal to penetrate barrier ability very limited.Although can by increase arrangement ZigBee routing node come around
Barrier, but the cost of this capacity and network that will will increase network are opened, and the occasion having is not allow to arrange one again
Network node.In addition, using individual ZigBee frequency range, may result in efficiency of transmission when network node density is larger
Situations such as decline, network congestion.
Summary of the invention
The shortcomings that it is a primary object of the present invention to overcome the prior art and deficiency, provide a kind of radio based on TDMA
Intellisense network design method.
In order to achieve the above object, the present invention uses following technical scheme：
A kind of radio intelligent sensing network design method based on TDMA, this method include the following steps：
The communication node of communication station network is divided into backbone node and user node, and each subnet includes backbone node and use
Family node；
Intellisense network is jumped by three and is formed with TDMA mode networking, each time slot, and communications band is respectively adopted in three jumps
High, medium and low three frequencies；
Time slot frame is divided into backbone network frame and access net framing, the backbone network frame emits for backbone node, target pair
As the user node for other backbone nodes or this subnet, accesses net framing and emit for user node, target object is book
The backbone node of net；
Backbone network framing uses three frequencies, referred to as signaling frequencies, and each subnet of access net framing selects three subnets to connect
Enter frequency；
Backbone node signaling platform emits signaling in the every frame corresponding time slot of backbone network frame,
Book network users node is initiated to detect by the business radio station of backbone node；
Subscriber board supports the slow networking of Intellisense network, and user node sends the application that networks after subnet detects,
The frequency point previously detected can be directly returned to user node by backbone node perception platform.
Preferably, the communication node in the communication station network is divided into backbone node and user node, every height
Net is included the steps that in backbone node and user node：
Each subnet includes 1 backbone node and multiple user nodes, and the backbone node includes 2 radio station, wherein one
Portion radio station is used as signaling platform, is not involved in service communication, another radio station is as service desk；The user node includes 1 radio station,
It is signaling platform before obtaining service communication frequency point, is automatically brought to service desk after obtaining service communication frequency point, the Intellisense network
It operates on signaling platform.
Preferably, being arranged No. 0 backbone node for main backbone node.
Preferably, time slot frame is divided into backbone network frame and access net framing described, the backbone network frame is used for bone
Dry node transmitting, target object can be other backbone nodes, or the user node of this subnet, access net framing are used for
In the step of user node transmitting, target object is the backbone node of this subnet：
The access net uses frequency division multiplexing mode.
Preferably, using three frequencies, referred to as signaling frequencies in the backbone network framing, the every height of net framing is accessed
Net selected in the step of three subnet access frequencies：
Each subnet accesses frequency using different subnets, and subnet access frequency passes through signaling frequencies and backbone node
Number carries out operation acquisition, and the preparation method of the subnet access frequency is specially：
High, medium and low each frequency point composition in the signaling frequencies selection communications band that backbone network framing uses, if three
Signaling frequencies are F1, F2, F3, then are for the subnet access frequency of n-th of subnet：
F1+n*25, F2+n*25, F3+n*25, wherein n is natural number.
Preferably, using three frequencies, referred to as signaling frequencies in the backbone network framing, the every height of net framing is accessed
Net selected in the step of three subnet access frequencies：
The each time slot of backbone network framing can only have 1 backbone node transmitting, and each time slot of the access net framing is more
The user node of a subnet same subscriber number can emit simultaneously.
Preferably, all signalings of Intellisense network are using spread spectrum plus the low-speed data communication mode of frequency hopping.
Preferably, in the backbone node signaling platform the step of the every frame corresponding time slot of backbone network frame can emit
In：
The signaling of transmission includes detection bulletin, traffic frequencies bulletin and the networking response to subnet, is emitted in no signaling
When, transmitting default synchronizing information, user node supports random access, selects according to the signal-to-noise ratio for receiving each backbone node signaling
The best backbone node of signal-to-noise ratio is selected to be accessed.
Preferably, initiating the step of detecting to book network users node in the business radio station by backbone node
In：
The detection process includes synchronous detection, detection and three processes of decision；Detection process is directly by backbone node
User node is detected, the physical condition to guarantee detection is consistent with the physical condition of service communication；The decision of detection depends on
The signal-to-noise ratio of signaling is detected between each user node of backbone node and junior, while rejecting signaling frequencies, all-ones subnet access frequency
Rate and other subnet traffic frequencies.
Preferably, initiating the step of detecting to book network users node in the business radio station by backbone node
In：
The best frequency point of subnet depends between each user node of backbone node and junior detecting the signal-to-noise ratio of signaling, picks simultaneously
Except signaling frequencies, all-ones subnet access frequency and other subnet traffic frequencies, after obtaining traffic frequencies, backbone node service desk
And user radio station goes to business model in subnet.
Compared with prior art, the present invention having the following advantages that and beneficial effect：
1, Intellisense network design method of the present invention can guarantee that network is established rapidly, and most fast detect each subnet
Service communication frequency, entire detection and frequency point selection course handled automatically by decision making algorithm, guarantee detection process and
The frequency point selected will not conflict.
2, backbone node includes signaling platform and service desk in radio intelligent sensing network in the present invention, can complete subnet
The initial network entry in user radio station, and can guarantee that user radio station networks late.
3, the business radio station of backbone node is direct to book network users node in radio intelligent sensing network in the present invention
Bi-directional probing is initiated, ensure that the accuracy for the frequency point that detection is selected.
Detailed description of the invention
Fig. 1 radio intelligent sensing network node composed structure schematic diagram of the present invention.
Fig. 2 radio intelligent sensing network slotted frame structure figure of the present invention.
Fig. 3 radio intelligent sensing network signaling platform frequency diagram of the present invention.
Fig. 4 radio intelligent sensing network detection process figure of the present invention.
Specific embodiment
Present invention will now be described in further detail with reference to the embodiments and the accompanying drawings, but embodiments of the present invention are unlimited
In this.
Embodiment
A kind of radio intelligent sensing network design method based on TDMA of the present embodiment, includes the following steps：
(1) communication node of communication station network is divided into backbone node and user node, as shown in Figure 1.Each subnet
There are 1 backbone node and multiple user nodes.Backbone node has 2 radio station, and 1 is used as signaling platform, and 1 is used as service desk；With
Family node only has 1 radio station, is signaling platform before obtaining service communication frequency point, is automatically brought to business after obtaining service communication frequency point
Platform.The Intellisense network operation described in the present embodiment is on signaling platform.
(2) Intellisense network is with TDMA mode networking.Each time slot is jumped by three and is formed, and communications band is respectively adopted in three jumps
High, medium and low three frequencies, No. 0 backbone node is arranged as main backbone node.
(3) entire timeslots frames include backbone network frame and access net framing, as shown in Figure 2.Backbone network frame is only used for
Backbone node transmitting, target object can be other backbone nodes, or the user node of this subnet.Access net framing only
It can be used for user node transmitting, target object to be the backbone node of this subnet.
(4) backbone network framing uses three frequencies, referred to as signaling frequencies；It accesses each subnet of net framing and selects three subnets
Frequency is accessed, these three frequencies carry out operation acquisition by signaling frequencies and backbone node number.The each time slot of backbone network framing
There can only be 1 backbone node transmitting, the user node of the access multiple subnet same subscribers number of each time slot of net framing can be simultaneously
Transmitting.If network includes 8 subnets, each subnet includes 8 user nodes, then has used 3 signaling frequencies and 24 sons
Net access frequency, as shown in Figure 3.
High, medium and low each frequency point in signaling frequencies selection communications band that backbone network framing uses in the present embodiment
Composition, if three signaling frequencies are F1, F2, F3, then accessing frequency for the subnet of n-th of subnet is：
F1+n*25, F2+n*25, F3+n*25, wherein n is natural number.
(5) backbone node signaling platform can emit in the every frame corresponding time slot of backbone network frame, and the signaling of transmission includes that detection is public
It accuses, traffic frequencies are announced and the networking response to subnet.When no signaling emits, transmitting default synchronizing information.User node
It supports random access, is connect according to the backbone node that the signal-to-noise ratio for receiving each backbone node signaling selects signal-to-noise ratio best
Enter.
(6) all signalings of Intellisense network are using spread spectrum plus the low-speed data communication mode of frequency hopping, and guarantee signaling can
By transmission.
(7) book network users node is initiated to detect by the business radio station of backbone node；Detection process include detection it is synchronous,
Detection and three processes of decision, detection process directly detect user node by backbone node, to guarantee the physics item of detection
Part is consistent with the physical condition of service communication；The decision of detection depends on detecting letter between each user node of backbone node and junior
The signal-to-noise ratio of order, while signaling frequencies, all-ones subnet access frequency and other subnet traffic frequencies are rejected, as shown in Figure 4.Subnet
Best frequency point depends between each user node of backbone node and junior detecting the signal-to-noise ratio of signaling, at the same reject signaling frequencies,
All-ones subnet accesses frequency and other subnet traffic frequencies.After obtaining traffic frequencies, used in backbone node service desk and subnet
Family radio station goes to business model,
(8) subscriber board supports the slow networking of Intellisense network；User node sends networking Shen after subnet detects
Please, the frequency point previously detected can be directly returned to user node by backbone node perception platform.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment
Limitation, other any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present invention,
It should be equivalent substitute mode, be included within the scope of the present invention.
Claims (10)
1. a kind of radio intelligent sensing network design method based on TDMA, which is characterized in that this method includes the following steps：
The communication node of communication station network is divided into backbone node and user node, each subnet includes backbone node and user
Node；
Intellisense network with TDMA mode networking, jumped by three and formed by each time slot, three jump be respectively adopted communications band height,
In, low three frequencies；
Time slot frame is divided into backbone network frame and access net framing, the backbone network frame emits for backbone node, and target object is
Other backbone nodes or user node for this subnet, access net framing emit for user node, and target object is this subnet
Backbone node；
Backbone network framing uses three frequencies, referred to as signaling frequencies, and each subnet of access net framing selects three subnet access frequencies
Rate；
Backbone node signaling platform emits signaling in the every frame corresponding time slot of backbone network frame,
Book network users node is initiated to detect by the business radio station of backbone node；
Subscriber board supports the slow networking of Intellisense network, and user node sends the application that networks, backbone after subnet detects
The frequency point previously detected can be directly returned to user node by node perceived platform.
2. the radio intelligent sensing network design method according to claim 1 based on TDMA, which is characterized in that in institute
The communication node for stating communication station network is divided into backbone node and user node, and each subnet includes backbone node and user node
The step of in：
Each subnet includes 1 backbone node and multiple user nodes, and the backbone node includes 2 radio station, wherein an electricity
Platform is used as signaling platform, is not involved in service communication, another radio station is as service desk；The user node includes 1 radio station, is being obtained
Be signaling platform before service communication frequency point, be automatically brought to service desk after obtaining service communication frequency point, the Intellisense network operation
On signaling platform.
3. the radio intelligent sensing network design method according to claim 1 based on TDMA, which is characterized in that in intelligence
Energy sensing network is jumped by three and is formed with TDMA mode networking, each time slot, and three jumps are respectively adopted high, medium and low the three of communications band
In the step of a frequency：
No. 0 backbone node is arranged as main backbone node.
4. the radio intelligent sensing network design method according to claim 1 based on TDMA, which is characterized in that in institute
It states and time slot frame is divided into backbone network frame and access net framing, for the backbone network frame for backbone node transmitting, target object can be with
For other backbone nodes, or the user node of this subnet, access net framing emit for user node, and target object is
In the step of backbone node of this subnet：
The access net uses frequency division multiplexing mode.
5. the radio intelligent sensing network design method according to claim 1 based on TDMA, which is characterized in that in institute
Backbone network framing is stated using three frequencies, referred to as signaling frequencies, each subnet of access net framing selects three subnets to access frequency
The step of in：
Each subnet accesses frequency using different subnets, and subnet access frequency is numbered by signaling frequencies and backbone node
Operation acquisition is carried out, the preparation method of the subnet access frequency is specially：
High, medium and low each frequency point composition in the signaling frequencies selection communications band that backbone network framing uses, if three signalings
Frequency is F1, F2, F3, then is for the subnet access frequency of n-th of subnet：
F1+n*25, F2+n*25, F3+n*25, wherein n is natural number.
6. the radio intelligent sensing network design method according to claim 1 based on TDMA, which is characterized in that in institute
Backbone network framing is stated using three frequencies, referred to as signaling frequencies, each subnet of access net framing selects three subnets to access frequency
The step of in：
The each time slot of backbone network framing can only have 1 backbone node transmitting, the multiple sons of each time slot of the access net framing
The user node of net same subscriber number can emit simultaneously.
7. the radio intelligent sensing network design method according to claim 1 based on TDMA, which is characterized in that intelligence
All signalings of sensing network are using spread spectrum plus the low-speed data communication mode of frequency hopping.
8. the radio intelligent sensing network design method according to claim 1 based on TDMA, which is characterized in that in institute
Backbone node signaling platform is stated in the step of every frame corresponding time slot of backbone network frame can emit：
The signaling of transmission includes detection bulletin, traffic frequencies bulletin and the networking response to subnet, when no signaling emits, hair
Default synchronizing information is penetrated, user node supports random access, selects letter according to the signal-to-noise ratio for receiving each backbone node signaling
It makes an uproar and is accessed than best backbone node.
9. the radio intelligent sensing network design method according to claim 1 based on TDMA, which is characterized in that in institute
It states and book network users node was initiated in the step of detecting by the business radio station of backbone node：
The detection process includes synchronous detection, detection and three processes of decision；Detection process directly by backbone node to
The detection of family node, the physical condition to guarantee detection are consistent with the physical condition of service communication；The decision of detection depends on backbone
Between each user node of node and junior detect signaling signal-to-noise ratio, while reject signaling frequencies, all-ones subnet access frequency and
Other subnet traffic frequencies.
10. the radio intelligent sensing network design method according to claim 1 based on TDMA, which is characterized in that
The business radio station by backbone node was initiated in the step of detecting by book network users node：
The best frequency point of subnet depends between each user node of backbone node and junior detecting the signal-to-noise ratio of signaling, while rejecting letter
Enable frequency, all-ones subnet access frequency and other subnet traffic frequencies, after obtaining traffic frequencies, backbone node service desk and son
User radio station goes to business model in netting.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1672446A (en) * | 2002-06-24 | 2005-09-21 | 诺基亚公司 | Mobile mesh AD-HOC networking |
| CN103188825A (en) * | 2011-12-31 | 2013-07-03 | 中国科学院上海微系统与信息技术研究所 | Networking method of wireless sensor network |
| CN104579417A (en) * | 2013-10-23 | 2015-04-29 | 北京海格神舟通信科技有限公司 | Multistage synchronization method for broadband frequency-hopping wireless communication network |
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- 2015-10-27 CN CN201510711087.8A patent/CN105246079B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1672446A (en) * | 2002-06-24 | 2005-09-21 | 诺基亚公司 | Mobile mesh AD-HOC networking |
| CN103188825A (en) * | 2011-12-31 | 2013-07-03 | 中国科学院上海微系统与信息技术研究所 | Networking method of wireless sensor network |
| CN104579417A (en) * | 2013-10-23 | 2015-04-29 | 北京海格神舟通信科技有限公司 | Multistage synchronization method for broadband frequency-hopping wireless communication network |
Non-Patent Citations (1)
| Title |
|---|
| 基于TDMA的跳频组网研究;杨新华，王鹏;《电子测量技术》;20090228;第32卷(第2期);第60-62页 * |
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