CN103117772A - Synchronous frequency hopping method and system in wireless sensor network - Google Patents
Synchronous frequency hopping method and system in wireless sensor network Download PDFInfo
- Publication number
- CN103117772A CN103117772A CN2013100460725A CN201310046072A CN103117772A CN 103117772 A CN103117772 A CN 103117772A CN 2013100460725 A CN2013100460725 A CN 2013100460725A CN 201310046072 A CN201310046072 A CN 201310046072A CN 103117772 A CN103117772 A CN 103117772A
- Authority
- CN
- China
- Prior art keywords
- frequency
- node
- hop sequences
- available frequency
- frequency hopping
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Abstract
The invention discloses a synchronous frequency hopping method and system in a wireless sensor network. The synchronous frequency hopping method comprises the steps of generating paseudorandom phase value Index of each slave node according to identification information of a master node and identification information of each slave node, performing calculation generation of a frequency hopping sequence locally through the slave nodes, forming synchronous frequency hopping transmission between the master node and the slave nodes through the frequency hopping sequence generated from the slave nodes, and meanwhile encrypting transmission data between the nodes through a Logistic chaotic encryption algorithm. Accordingly, due to the technical scheme, the problem that safety of the transmission data cannot be effectively guaranteed in a synchronous frequency hopping mode in an existing wireless sensor network (WSN) is solved, and master node system resources are greatly saved. Simultaneously, the synchronous frequency hopping method and system further support the wireless sensor network with different communication links and different link dynamic keys, so that the network has the advantages of being good in secrecy, strong in antijamming capability and good in networking expandability and the like.
Description
Technical field
The present invention relates to the transmission of the transmission node in wireless sensor network, be applied in wireless sensor network, particularly the synchronising frequency hopping method and system in wireless sensor network.
Background technology
Wireless sensor network (Wireless Sensor Network, be called for short WSN) is considered to one of most important technology of 21 century, be numerous transducer by the mode of radio communication, connect each other, process, the network of transmission of information.This network synthesis sensor technology, embedded computing technique, distributed information processing and the communication technology, can Real-Time Monitoring, the various environment in perception and control network distribution zone or the information of monitoring target, and these information are processed, send required user to.WSN has purposes widely in military affairs, industry, traffic, safety, medical treatment, detection and family and working environment etc. aspect a lot.Simultaneously, just in developing technology, WSN also has many technology contents to strengthen and to promote as one.
The user usually all wish WSN have low-power consumption, can expansion, the characteristics such as self adaptation, highly redundant characteristic.And for the application of WSN, many restrictions and characteristics are arranged.For example, the node in networking mostly is operated in public frequency range, generally is in static or mobile status at a slow speed.This frequency range is crowded, the frequency range relative narrower.Open spectrum is disturbed many; But the power of frequency spectrum distributes relatively fixing or becomes slowly.In addition, the node unit cost is low, and the coverage scope is shorter.For the general hopping scheme of the WSN of open frequency range (for example ISM band), the purpose of frequency hopping is in order to improve link capacity, to improve simultaneously network capacity, reduce in net and disturb, increasing the link confidentiality.Therefore, in WSN, the frequency-hopping system basic purpose of design and requirement are the transmission qualities that improves point-to-point link, simultaneously by the distribution of different node frequency hop sequences, reduce adjacent node working frequency points collision probability, thereby improve the clean throughput of whole network.
Summary of the invention
The invention provides the synchronising frequency hopping method in wireless sensor network, comprise the following steps:
In the residential quarter of wireless sensor network, it is the original frequency hop sequences set C of M that host node generates length, and available frequency is counted N;
Host node according to identification information and respectively from the node identification Information generation respectively from the pseudo-random phase value Index of node, this pseudo-random phase value Index, described original frequency hop sequences set C and described available frequency are counted N are sent to respectively from node;
Describedly respectively count N from node according to received described pseudo-random phase value Index separately, described original frequency hop sequences set C and described available frequency and generate frequency hop sequences D';
Between described primary node and secondary node, realize the synchronising frequency hopping transmission according to described frequency hop sequences D' with reference to available frequency collection.
Simultaneously, the present invention also provides the synchronising frequency hopping system in the wireless sensor network, wherein,
The host node processing unit, in the residential quarter of wireless sensor network, generating in advance length is the original frequency hop sequences set C of M, with count according to available frequency N, host node identification information and respectively from the node identification Information generation respectively from the pseudo-random phase value Index of node, this pseudo-random phase value Index, described original frequency hop sequences set C and described available frequency are counted N are sent to respectively from node;
From the node processing unit, be arranged at respectively from node, count N according to received described pseudo-random phase value Index separately, described original frequency hop sequences set C and described available frequency and generate frequency hop sequences D';
The frequency hopping unit according to described frequency hop sequences D', realizes that with reference to available frequency collection the synchronising frequency hopping between described primary node and secondary node transmits.
Compared with prior art, the embodiment of the present invention has the following advantages: the Power Spectrum Distribution of the detection corresponding frequency band in energy cycle, rejecting structure frequency hopping collection on the basis of disturbing frequency.Generate each from the frequency parameter of node by host node, due in the generative process of frequency parameter, use its respectively from the identification information of node as variable, therefore, respectively can mutually distinguish from the frequency parameter of node, by host node, frequency parameter is sent to from node afterwards, is carrying out the generation of frequency hop sequences from node, make different to obtain current communications hop frequency sequence from node.In the calculated load that has alleviated host node, the present invention also supports to have the wireless sensor network of different communication links and different link dynamic key, thereby makes this network have the advantages such as good confidentiality, antijamming capability is strong, the networking extensibility is good.
Description of drawings
In order to be illustrated more clearly in the embodiment of the present invention, the below will do to introduce simply to the accompanying drawing of required use in embodiment or description of the Prior Art.
Fig. 1 is the block diagram according to the synchronising frequency hopping method in wireless sensor network of the present invention;
Fig. 2 is frequency spectrum cavity-pocket scanning and the frequency hopping schematic diagram in one embodiment of the present invention;
Fig. 3 is the synchronising frequency hopping pattern schematic diagram in one embodiment of the present invention;
Fig. 4 is the generation frequency hop sequences flow chart in one embodiment of the present invention;
Fig. 5 is the original frequency hop sequences collection C schematic diagram in one embodiment of the present invention;
Fig. 6 is mould N(such as the N=15 in one embodiment of the present invention) frequency hop sequences collection D ' schematic diagram;
Fig. 7 is complete period frequency hop sequences (above parameters) schematic diagram in one embodiment of the present invention;
Fig. 8 is the complete period frequency hop sequences histogram distribution schematic diagram in one embodiment of the present invention;
Fig. 9 is the complete period frequency hop sequences auto-correlation function schematic diagram in one embodiment of the present invention;
Figure 10 is single RF host node frequency hopping configuration schematic diagram of the band acquiescence frequency in one embodiment of the present invention;
Figure 11 is two RF host node frequency hopping configuration schematic diagram of the band acquiescence frequency in one embodiment of the present invention;
Figure 12 is the encryption based on the Logistic mapping, the deciphering principle schematic in one embodiment of the present invention;
Figure 13 is the composition schematic diagram of the synchronising frequency hopping system in wireless sensor network of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the embodiment of the present invention is described.
According to one embodiment of present invention, provide the synchronising frequency hopping method in the wireless sensor network.As shown in Figure 1, 2, the method comprises the following steps:
Step S101: in the residential quarter of wireless sensor network, comprise host node and a plurality of from node.At first, generate in advance by host node the original frequency hop sequences set C that length is M, but the value Set arbitrarily of M or count N with reference to maximum available frequency wherein
maxObtain.Consider that actual common frequency band width can produce fluctuation, thereby the maximum available frequency in WSN is counted N
maxWill produce fluctuation, therefore can be according to the eat dishes without rice or wine bandwidth B of signal bandwidth BW, common frequency band of node, and formula 1.1 determines that dynamic maximum available frequency counts N
max:
Afterwards, by host node in the residential quarter, place to from the original frequency hop sequences set of node broadcasts C.Host node is counted N(N≤N according to available frequency
max), host node identification information ID
1, respectively from the node identification Information ID
2, ID
3ID
m(be assumed to be m from node, wherein, host node identification information ID
1, and respectively from the node identification Information ID
2, ID
3ID
mThe identification node unique identification of attribute separately), and the node parameter K of described residential quarter (K can obtain according to the nodes of residential quarter, for example nodes is 100, K can choose and 100 the most close 2 integer 7 power values 128), generate respectively pseudo-random phase value Index from node by following formula 1.2
Index=(K*ID
Main+ ID
From) mod N (1.2),
From above-mentioned respectively from the generative process of the pseudo-random phase value Index of node as can be known, due to the different ID differences from node, thereby receive the frequency hop sequences C of the unified broadcasting of host node at each node after, specific pseudo-random phase value Index be can obtain, particularity and uniqueness from node frame-skipping sequence guaranteed respectively.
Above-mentioned available frequency counts N and available frequency collection can pass through the host node historical record, or the record in wireless sensor network obtains.But the above-mentioned mode of determining that available frequency is counted N and available frequency collection because the parameter variation of system can be fluctuateed in generation, thereby makes synchronising frequency hopping existence and stability problem.Simultaneously in deterministic process, also can adopt the following method that available frequency is counted N and available frequency collection of dynamically determining, by the host node transceiver by the PLL(phase-locked loop) each frequency in frequency range is carried out Uniform Scanning, obtain the signal strength signal intensity indication that the RSSI(Received Signal Strength Indication of each frequency receives) and LQI (indication of link quality indicator link-quality).By PLL, each frequency is carried out the Uniform Scanning process above-mentioned, because PLL frequency locking time of the transceiver of dissimilar or producer there are differences, therefore, if the frequency locking time is set as fixed value, will make scanning result difference occur.For addressing this problem, propose in the present invention, because frequency locking time of most of transceiver is the value range of 20 μ s～200 μ s.Therefore, in the scanning process of the aerial power spectrum that carries out public frequency range wireless sense network, just can satisfy the frequency locking time requirement of the PLL of dissimilar transceiver when the frequency locking time of each frequency is set as 10ms, thereby guarantees that scanning result is not subject to the impact of transceiver type.
After the RSSI that obtains each frequency and LQI, can according to RSSI and the LQI parameter of each frequency, comprehensively determine the power of eating dishes without rice or wine (air interface power) of each frequency.Obtain the power distribution of eating dishes without rice or wine of each frequency in frequency range from the power of eating dishes without rice or wine of these frequencies.Each frequency in frequency range, the power of eating dishes without rice or wine being distributed power of eating dishes without rice or wine sorts from small to large according to this.At last, according to the threshold value of setting, reject power greater than the frequency of threshold value from the power of eating dishes without rice or wine distributes, obtained dynamic available frequency collection, and determine that by this dynamic available frequency collection available frequency counts N.
In above step, definite method of threshold value can adopt the fixing two kinds of methods of determining or dynamically determine, in the situation that the WSN state is interfered is less, can adopt the fixing method of determining threshold value, as: default fixing initial absolute door limit value (such as-60dBm).In the situation that the WSN state is interfered is more, can adopt the method for dynamically determining, determine whether rejecting certain frequency according to the link interference information of feedback, thereby can make the setting of above-mentioned threshold value more accurate.
In above step, for making host node with more reliable from the transfer of data of node, can make host node adopt the Logistic chaos encrypting method, to the available frequency of above-mentioned generation count N, pseudo-random phase value Index is encrypted.And this pseudo-random phase value Index, described original frequency hop sequences set C and described available frequency are counted N be sent to respectively from node by cipher mode.Thereby the easy intercepting and capturing of host node the transmission of data have been reduced.
Step S102: respectively from node according to random phase value Index(0≤index＜M), sequential loop is extracted available frequency and is counted the N number from original frequency hop sequences set C, obtains pre-frequency hop sequences D.To count N numerical value less due to available frequency, therefore, can by the compute mode to pre-frequency hop sequences D mould N, make frequency hop sequences meet the frequency collection, i.e. D '=DmodN, D ' [i] ∈ [0, N-1].
From above-mentioned steps S101 and step S103 as can be known, in the present invention, frequency hop sequences D' carries out computing to produce in this locality from node in the residential quarter, and the host node in this residential quarter only carries out the transmission of calculating parameter, thereby has greatly reduced the operand of host node.Simultaneously, the pseudo-random phase value Index that sends at host node is according to respectively producing from node identification, therefore at each from having kept frequency hop sequences distinctiveness preferably between node, internodal frequency hopping is transmitted more stable.
Step S103: set up man-to-man order corresponding relation between available frequency collection that host node obtains and frequency hop sequences D', namely, make in each available frequency that available frequency concentrates and the serial D' of frequency hopping each frequency corresponding one by one in order, obtain synchronising frequency hopping sequence A [D ' [i]], i ∈ [0, N-1] is between primary node and secondary node, according to described frequency hop sequences D' and above-mentioned one-to-one relationship, thereby realize the synchronising frequency hopping sequence and transmit the corresponding of available frequency collection.
Need to prove, can set up under the synchronous error that allows magnitude between the transmission node in WSN (host node with from node) and synchronize.The magnitude of synchronous error is 100 μ s in WSN, thereby when reserving a large amount of protection time slots, has avoided the waste of time resource.The signal of synchronising frequency hopping pattern as shown in Figure 3.The time-frequency grid that " C dotted line frame " shown in Fig. 3 is corresponding, the left and right sidesing shifting of the time-frequency grid of this C dotted line frame represents synchronous error.
As the further optimization of above step S103, in WSN due to the problem of the unknown or the imperfection of design, cause frequency hopping to continue or be interrupted failed the time, can realize by following proposal the fault-tolerant processing of frequency hopping.
A default communication frequency is set in each host node of WSN.For guaranteeing the reliable of this frequency, this frequency can be set as and not participate in frequency hopping (stablize or disturb also can be set as than hour this frequency in network state and participate in frequency hopping).When host node uses single RF spot, can satisfy by the frequency hopping communications time that takies host node the requirement of above communication frequency, single RF spot host node frequency hopping configuration of band acquiescence frequency is as shown in figure 10.When host node uses plural RF spot, can therefrom select a RF spot resident for a long time, frequency is issued broadcast message by default.For guaranteeing transmission quality, this host node can adopt omnidirectional antenna.Another is used for realizing frequency hopping, and the Double RF frequency host node frequency hopping configuration of band acquiescence frequency as shown in figure 11.
Below with reference to Fig. 4, by the describing mode of Mathematical Modeling, the implementation procedure of above-mentioned steps S101 ~ S103 is described:
Stp1: in each transmission node of WSN, generating in advance length is the original frequency hop sequences set C of M, original frequency hop sequences set C intermediate-frequeney point be pseudo-random phase value Index treat index series, suppose that the available frequency number in this original frequency hop sequences set C is N; In original frequency hop sequences set C generative process, the frequency point scanning parameter is: each frequency residence time T; Maximum hop period is counted J
max
Stp2: according to index(0≤index＜M), sequential loop is taken out the N number as frequency hop sequences D from C.
Stp3: with the sample value in the D sequence one by one mould N calculate D ', i.e. D '=D modN, D ' [i] ∈ [0, N-1]
Stp4: the frequency sequence that the frequency hop sequences in cycle is corresponding is A[D ' [i]], i ∈ [0, N-1].
Stp1 ~ Stp4 has obtained J by above-mentioned steps
maxThe frequency hop sequences of individual hop period, whose? duration is: N * T * J
max
As the further optimization of above step Stp4, for strengthening the anti-predictability of frequency hop sequences, also can comprise: Stp5, in this step, definable D ' j=(13D+j) modN, j ∈ [1, J
max-1], J wherein
maxIt is maximum hop period number.
Be 32 random alignment sequence when the length of C, other suppose index=5, N=16, J
max=11 o'clock, the simulation analysis result was as shown in Fig. 5 ~ 9.
C={3222?6?3?16?11?30?7?28?17?14?8?5?29?21?25?31?27?2619?15?1?23?2?4?18?24?13?9?20?10?12}；
D={11?30?7?28?17?14?8?5?29?21?25?31?27?26?19?15};
D′={11?14?7?12?1?14?8?5?13?5?9?15?11?10?3?15};
Can be found out by above simulation result, this simple frequency hopping sequence generating method, although the frequency hop sequences that generates does not have absolute even distribution character, but good ergodic is arranged, particularly the large probability that occurs of the adjacent frequency sequence number that occurs of histogram middle part and the small probability interval characteristic of intersecting, be conducive on the contrary reduce the adjacent of frequency hopping networking and frequently disturb.
For make above-mentioned in WSN the transfer of data between each transmission node safer, in one embodiment, as shown in figure 12 host node can adopt the Logistic chaos encrypting method to the available frequency of above-mentioned generation count N, pseudo-random phase value Index is encrypted; That is, adopt the Logistic chaos encrypting method in the frequency hopping networking.Chaos encryption is mainly to utilize the sequence that is produced by the chaos system iteration, as a factor sequence of enciphering transformation.The theoretical foundation of chaos encryption is the self-similarity of chaos, make chaotic key collection that the part chooses on distributional pattern all with global similarity.Chaos occurs in deterministic system, and the period doubling bifurcation of Logistic equation can cause chaos.The Logistic equation is:
X(n+1)=u*X(n)*(1–X(n))；
Above-mentioned X (n) span is [0,1], and the span of u is [3.6,4.0].
Chaotic Encryption design: suppose { P
nThe cleartext information sequence, { K
nThe key information sequence, after producing sequence by Logistic chaos equation iteration, carry out gained integer chaos sequence after binary conversion treatment, { C
nIt is the cipher-text information sequence.
Cryptographic algorithm is designed to:
Decipherment algorithm is designed to:
Based on the encryption principle figure of Logistic chaotic maps as shown in figure 17, decrypting process is the inverse process of encrypting.Initial value X
oWith U be the parameter of Logistic equation, be the key parameter K={X of encryption system simultaneously
o, u}.Because the sensitive dependence of chaos system to initial condition, for the initial value that minute differences is only arranged, chaos system in iteration just can produce distinct chaos sequence after certain number of times.
For the chaos sequence that makes close initial value more uncorrelated with each other, when carrying out experiment simulation can to chaos sequence through iteration more than 1000 times after value, fault in enlargement effectively, it is invalid to make the attack of initial condition, make cipher round results better, fail safe is higher.
Because secret value is digital quantity, so must use a kind of method with this frequency hop sequences { X that is consisted of by real number
nBe mapped to the pseudo random sequence that is consisted of by integer, serve as encryption key.The method of selecting in this example is, 8 one group of the sequence after iteration is got iteration 1000 times afterwards continuously judges their size, if be digitized as 1 greater than 0.4, otherwise is 0.
According to a further aspect in the invention, also provide the synchronising frequency hopping system in the wireless sensor network, as shown in figure 13.This system comprises: host node processing unit 201, from the node processing unit 202 and frequency hopping unit 203.
Host node processing unit 201 can comprise: be used in the residential quarter of wireless sensor network, generating in advance length is the original frequency hop sequences set C of M; According to available frequency count N, host node identification information and respectively from the node identification Information generation respectively from the pseudo-random phase value Index of node, and adopt the Logistic chaos encrypting method to the available frequency of above-mentioned generation count N, pseudo-random phase value Index is encrypted, this pseudo-random phase value Index, described original frequency hop sequences set C and described available frequency are counted N are sent to respectively from node;
From the node processing unit 202, be used for respectively from node adopt Logistic chaos decode method to the available frequency of above-mentioned generation count N, pseudo-random phase value Index is decrypted, count N according to received described pseudo-random phase value Index separately, described original frequency hop sequences set C and described available frequency and generate frequency hop sequences D';
Frequency hopping unit 203 is used between described primary node and secondary node, realizes the synchronising frequency hopping transmission according to described frequency hop sequences D' with reference to available frequency collection.
Wherein, described host node processing unit also comprises:
Available frequency collection acquiring unit 2011, host node carries out Power Spectrum Distribution scanning to each frequency in described wireless sensor network, obtains available frequency collection, obtains available frequency according to described available frequency collection and counts N.
Pseudo-random phase value Index generation unit 2012, host node is counted N, host node identification information ID according to available frequency
Main, respectively from the node identification Information ID
FromAnd the node parameter K of described residential quarter by following formula generation respectively from the pseudo-random phase value Index of node, Index=(K*ID
Main+ ID
From) mod N.
Logistic chaos encryption unit 2013, host node according to adopt the Logistic chaos encrypting method to the available frequency that sends count N, pseudo-random phase value Index is encrypted.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by hardware, also can realize by the mode that software adds necessary general hardware platform.Based on such understanding, technical scheme of the present invention can embody with the form of software product, it (can be CD-ROM that this software product can be stored in a non-volatile memory medium, USB flash disk, portable hard drive etc.) in, comprise some instructions with so that computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, the module in accompanying drawing or flow process might not be that enforcement the present invention is necessary.
It will be appreciated by those skilled in the art that the module in the device in embodiment can be distributed in the device of embodiment according to the embodiment description, also can carry out respective change and be arranged in the one or more devices that are different from the present embodiment.The module of above-described embodiment can be merged into a module, also can further split into a plurality of submodules.
The invention described above embodiment sequence number does not represent the quality of embodiment just to description.
Above disclosed be only several specific embodiment of the present invention, still, the present invention is not limited thereto, the changes that any person skilled in the art can think of all should fall into protection scope of the present invention.
Claims (10)
1. the synchronising frequency hopping method in wireless sensor network, is characterized in that, comprising:
In the residential quarter of wireless sensor network, it is the original frequency hop sequences set C of M that host node generates length;
According to available frequency count N, host node identification information and respectively from the node identification Information generation respectively from the pseudo-random phase value Index of node, this pseudo-random phase value Index, described original frequency hop sequences set C and described available frequency are counted N are sent to respectively from node;
Describedly respectively count N from node according to received described pseudo-random phase value Index separately, described original frequency hop sequences set C and described available frequency and generate frequency hop sequences D';
Between described primary node and secondary node, realize the synchronising frequency hopping transmission according to described frequency hop sequences D' with reference to available frequency collection.
2. the method for claim 1, is characterized in that, also comprises:
Host node carries out Power Spectrum Distribution scanning to each frequency in described wireless sensor network, obtains dynamic available frequency collection, determines available frequency collection according to described dynamic available frequency collection, obtains described available frequency according to described dynamic available frequency collection and counts N.
3. method as claimed in claim 2, is characterized in that, also comprises:
Host node carries out frequency point scanning to the frequency in described wireless sensor network to set residence time, obtains signal strength signal intensity indication RSSI and link-quality indication LQI that each frequency receives, according to described RSSI and the described LQI of each frequency, obtains the power of eating dishes without rice or wine and distributes;
Reject in the described power distribution of eating dishes without rice or wine and eat dishes without rice or wine power greater than the frequency of setting thresholding, obtain available frequency collection.
4. method as claimed in claim 1 or 2, is characterized in that, also comprises:
Host node is counted N, host node identification information ID according to available frequency
Main, respectively from the node identification Information ID
FromAnd the node parameter K of described residential quarter by following formula generation respectively from the pseudo-random phase value Index of node,
Index=(K*ID
Main+ ID
From) mod N.
5. method as claimed in claim 1 or 2, is characterized in that, describedly respectively counts according to received described pseudo-random phase value Index separately, described original frequency hop sequences set C and described available frequency the step that N generates frequency hop sequences D' from node and comprise:
Described respectively from node according to described pseudo-random phase value Index, sequential loop is extracted described N number from described original frequency hop sequences set C, obtains pre-frequency hop sequences D, described N is available frequency number;
According to described pre-frequency hop sequences D, described available frequency is counted N and carry out delivery, generate frequency hop sequences D'.
6. the method for claim 1, is characterized in that, and is described between described primary node and secondary node, realizes that with reference to available frequency collection the step of synchronising frequency hopping transmission comprises according to described frequency hop sequences D':
If host node is many RF spots, one of RF spot of described host node is set as the communication frequency of acquiescence, other RF spots are set as the frequency hopping frequency, between described primary node and secondary node, by described frequency hopping frequency, realize the synchronising frequency hopping transmission according to described frequency hop sequences D' with reference to available frequency collection.
7. the method for claim 1, is characterized in that, the networking frequency hopping constraint of described wireless sensor network is determined according to the frequency pattern of described frequency hop sequences.
8. method as described in claim 1 or 7, is characterized in that, also comprises: in described wireless sensor network, described host node and described the transmission of data between node adopt the Logistic chaos encrypting method to be encrypted.
9. the synchronising frequency hopping system in wireless sensor network, is characterized in that, comprising:
The host node processing unit, in the residential quarter of wireless sensor network, generating in advance length is the original frequency hop sequences set C of M, with count according to available frequency N, host node identification information and respectively from the node identification Information generation respectively from the pseudo-random phase value Index of node, this pseudo-random phase value Index, described original frequency hop sequences set C and described available frequency are counted N are sent to respectively from node;
From the node processing unit, be arranged at respectively from node, count N according to received described pseudo-random phase value Index separately, described original frequency hop sequences set C and described available frequency and generate frequency hop sequences D';
The frequency hopping unit according to described frequency hop sequences D', realizes that with reference to available frequency collection the synchronising frequency hopping between described primary node and secondary node transmits.
10. system as described in claim 9, is characterized in that, described host node processing unit also comprises:
Available frequency collection acquiring unit, host node carries out Power Spectrum Distribution scanning to each frequency in described wireless sensor network, obtains available frequency collection, obtains available frequency according to described available frequency collection and counts N;
Pseudo-random phase value Index generation unit, host node is counted N, host node identification information ID according to available frequency
Main, respectively from the node identification Information ID from and the node parameter K of described residential quarter by following formula generation respectively from the pseudo-random phase value Index of node, Index=(K*ID
Main+ ID
From) mod N;
Logistic chaos encryption unit 2013, host node adopt the Logistic chaos encrypting method to the available frequency that sends count N, pseudo-random phase value Index is encrypted.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310046072.5A CN103117772B (en) | 2013-02-05 | 2013-02-05 | Synchronous frequency hopping method and system in wireless sensor network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310046072.5A CN103117772B (en) | 2013-02-05 | 2013-02-05 | Synchronous frequency hopping method and system in wireless sensor network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103117772A true CN103117772A (en) | 2013-05-22 |
| CN103117772B CN103117772B (en) | 2014-11-26 |
Family
ID=48416057
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310046072.5A Active CN103117772B (en) | 2013-02-05 | 2013-02-05 | Synchronous frequency hopping method and system in wireless sensor network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103117772B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104378195A (en) * | 2014-10-16 | 2015-02-25 | 江苏博智软件科技有限公司 | Method for encrypting WSN chaotic block ciphers |
| CN105763224A (en) * | 2016-04-14 | 2016-07-13 | 电子科技大学 | Distributed asynchronous frequency hopping system frequency hopping sequence generation method |
| CN108233985A (en) * | 2017-12-28 | 2018-06-29 | 厦门安胜网络科技有限公司 | A kind of unmanned plane management method, terminal device and storage medium |
| CN109120371A (en) * | 2018-10-17 | 2019-01-01 | 广州卫富科技开发有限公司 | A kind of Jam-resistant Secure Communications method of simplex communication state Imitating vision signal |
| CN109361425A (en) * | 2018-12-03 | 2019-02-19 | 四川大学 | A kind of generation method and device of frequency hopping pattern |
| CN109495133A (en) * | 2017-09-11 | 2019-03-19 | 大连军通科技有限公司 | A kind of recurrent pulse interference cognitive method |
| CN109861720A (en) * | 2019-03-15 | 2019-06-07 | 中国科学院上海高等研究院 | WSN anti-interference method, device, equipment and medium based on intensified learning |
| CN110278079A (en) * | 2019-07-02 | 2019-09-24 | 中山大学 | High security LoRa communication means and system based on dynamic chaos encryption |
| CN112511189A (en) * | 2020-11-18 | 2021-03-16 | 北京中天星控科技开发有限公司 | Anti-interference method based on wireless transmission equipment frequency hopping networking application |
| CN113950123A (en) * | 2021-10-29 | 2022-01-18 | 歌尔光学科技有限公司 | Connection method, device, equipment and storage medium of communication equipment |
| CN115085761A (en) * | 2022-07-19 | 2022-09-20 | 成都华日通讯技术股份有限公司 | Asynchronous frequency hopping network station sorting method based on frequency hopping description word |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1617464A (en) * | 2003-11-14 | 2005-05-18 | 华为技术有限公司 | Frequency hopping sequence generating method for realizing blue tooth cellural organized net |
| CN101552623A (en) * | 2009-04-23 | 2009-10-07 | 上海交通大学 | Chaotic synchronous realizing method based on GPS |
| CN101645725A (en) * | 2009-08-26 | 2010-02-10 | 西安电子科技大学 | Method for constructing time-frequency hop sequences in cognitive radio TFH-CDMA system |
| CN101667849A (en) * | 2008-09-05 | 2010-03-10 | 华为技术有限公司 | Data transmission method, network equipment and communication system |
| CN101729159A (en) * | 2008-10-27 | 2010-06-09 | 华为技术有限公司 | Method and device for generating signals |
| CN102122973A (en) * | 2010-01-08 | 2011-07-13 | 中国科学院沈阳自动化研究所 | Clustering-wireless-sensor-network-orientated two-stage adaptive frequency-hopping method |
| EP2381737A1 (en) * | 2008-12-19 | 2011-10-26 | Shenyang Institute of Automation of the Chinese Academy of Sciences | Communication method for mesh and star topology structure wireless sensor network |
| CN102547916A (en) * | 2010-12-17 | 2012-07-04 | 赵俊淋 | Method for achieving multi-frequency coverage of wireless sensor network based on time division multiplex |
-
2013
- 2013-02-05 CN CN201310046072.5A patent/CN103117772B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1617464A (en) * | 2003-11-14 | 2005-05-18 | 华为技术有限公司 | Frequency hopping sequence generating method for realizing blue tooth cellural organized net |
| CN101667849A (en) * | 2008-09-05 | 2010-03-10 | 华为技术有限公司 | Data transmission method, network equipment and communication system |
| CN101729159A (en) * | 2008-10-27 | 2010-06-09 | 华为技术有限公司 | Method and device for generating signals |
| EP2381737A1 (en) * | 2008-12-19 | 2011-10-26 | Shenyang Institute of Automation of the Chinese Academy of Sciences | Communication method for mesh and star topology structure wireless sensor network |
| CN101552623A (en) * | 2009-04-23 | 2009-10-07 | 上海交通大学 | Chaotic synchronous realizing method based on GPS |
| CN101645725A (en) * | 2009-08-26 | 2010-02-10 | 西安电子科技大学 | Method for constructing time-frequency hop sequences in cognitive radio TFH-CDMA system |
| CN102122973A (en) * | 2010-01-08 | 2011-07-13 | 中国科学院沈阳自动化研究所 | Clustering-wireless-sensor-network-orientated two-stage adaptive frequency-hopping method |
| US20120213062A1 (en) * | 2010-01-08 | 2012-08-23 | Shenyang Institute Of Automation Of The Chinese Academy Of Sciences | Method of two-stage adaptive frequency hopping for clustered wireless sensor network |
| CN102547916A (en) * | 2010-12-17 | 2012-07-04 | 赵俊淋 | Method for achieving multi-frequency coverage of wireless sensor network based on time division multiplex |
Non-Patent Citations (3)
| Title |
|---|
| 王沁: "一种高可靠无线传感器网络自适应跳频算法", 《小型微型计算机系统》, vol. 31, no. 9, 15 September 2010 (2010-09-15) * |
| 石颢: "基于跳频技术的无线网络路由", 《计算机工程》, vol. 34, no. 22, 20 November 2008 (2008-11-20) * |
| 赵金东等: "Mesh结构无线传感器网络中的自适应跳频机制", 《北京邮电大学学报》, vol. 34, no. 5, 15 October 2011 (2011-10-15) * |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104378195A (en) * | 2014-10-16 | 2015-02-25 | 江苏博智软件科技有限公司 | Method for encrypting WSN chaotic block ciphers |
| CN105763224A (en) * | 2016-04-14 | 2016-07-13 | 电子科技大学 | Distributed asynchronous frequency hopping system frequency hopping sequence generation method |
| CN109495133A (en) * | 2017-09-11 | 2019-03-19 | 大连军通科技有限公司 | A kind of recurrent pulse interference cognitive method |
| CN108233985A (en) * | 2017-12-28 | 2018-06-29 | 厦门安胜网络科技有限公司 | A kind of unmanned plane management method, terminal device and storage medium |
| CN109120371B (en) * | 2018-10-17 | 2019-11-15 | 广州卫富科技开发有限公司 | A kind of Jam-resistant Secure Communications method of simplex communication state Imitating vision signal |
| CN109120371A (en) * | 2018-10-17 | 2019-01-01 | 广州卫富科技开发有限公司 | A kind of Jam-resistant Secure Communications method of simplex communication state Imitating vision signal |
| CN109361425A (en) * | 2018-12-03 | 2019-02-19 | 四川大学 | A kind of generation method and device of frequency hopping pattern |
| CN109861720A (en) * | 2019-03-15 | 2019-06-07 | 中国科学院上海高等研究院 | WSN anti-interference method, device, equipment and medium based on intensified learning |
| CN110278079A (en) * | 2019-07-02 | 2019-09-24 | 中山大学 | High security LoRa communication means and system based on dynamic chaos encryption |
| CN110278079B (en) * | 2019-07-02 | 2021-06-25 | 中山大学 | High-security LoRa communication method and system based on dynamic chaotic encryption |
| CN112511189A (en) * | 2020-11-18 | 2021-03-16 | 北京中天星控科技开发有限公司 | Anti-interference method based on wireless transmission equipment frequency hopping networking application |
| CN112511189B (en) * | 2020-11-18 | 2022-03-11 | 北京中天星控科技开发有限公司 | Anti-interference method based on wireless transmission equipment frequency hopping networking application |
| CN113950123A (en) * | 2021-10-29 | 2022-01-18 | 歌尔光学科技有限公司 | Connection method, device, equipment and storage medium of communication equipment |
| CN113950123B (en) * | 2021-10-29 | 2024-04-09 | 歌尔科技有限公司 | Connection method, device, equipment and storage medium of communication equipment |
| CN115085761A (en) * | 2022-07-19 | 2022-09-20 | 成都华日通讯技术股份有限公司 | Asynchronous frequency hopping network station sorting method based on frequency hopping description word |
| CN115085761B (en) * | 2022-07-19 | 2022-11-04 | 成都华日通讯技术股份有限公司 | Asynchronous frequency hopping network station sorting method based on frequency hopping description word |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103117772B (en) | 2014-11-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103117772B (en) | Synchronous frequency hopping method and system in wireless sensor network | |
| US20150334093A1 (en) | method for generating a key in a network and user on a network and network | |
| Mathur et al. | Digital signatures for centralized DSA networks | |
| CN103181115B (en) | For guaranteeing the system and method for secure wireless communication | |
| WO2015112753A1 (en) | Multi-broadcast beacon signals | |
| CN102201914B (en) | Secret communication method based on multi-dimensional single/multi-parameter four-weighted fractional Fourier transform | |
| Wang et al. | Error function attack of chaos synchronization based encryption schemes | |
| Jones et al. | Towards a new paradigm for securing wireless sensor networks | |
| CN102833736A (en) | Communication key generation method and secure channel selection method for cognitive radio system | |
| CN101702117A (en) | Method for generating random pseudorandom sequence based on discrete progressive determinacy | |
| CN104380651A (en) | Method for generating pseudorandom sequence, and method for coding or decoding data stream | |
| Navas et al. | Physical resilience to insider attacks in IoT networks: Independent cryptographically secure sequences for DSSS anti-jamming | |
| CN103346875A (en) | Method for generating digital chaos code in chaotic secure communication system | |
| Uchiteleva et al. | Lightweight dynamic group rekeying for low-power wireless networks in IIoT | |
| Cherifi et al. | Efficient and lightweight protocol for anti-jamming communications in wireless body area networks | |
| Baird et al. | Jam-resistant communication without shared secrets through the use of concurrent codes | |
| Rana et al. | A systematic review on different security framework for IoT | |
| Jasim et al. | The eavesdropping attack on security tradeoff for cognitive radio networks | |
| CN105263138A (en) | Sensor original data privacy protection method supporting sensor network data aggregation | |
| Currás-Lorenzo et al. | Security of quantum key distribution with imperfect phase randomisation | |
| Paul et al. | Channel hopping using ${p} $-ary m-sequence for rendezvous in cognitive radio networks | |
| Di Pietro et al. | Freedom of speech: Thwarting jammers via a probabilistic approach | |
| Bakhache et al. | Enhancement of zigbee and wi-fi security by a robust and fast chaotic algorithm | |
| Kim et al. | Proposal of multi-channel operation technique using PingPong256 | |
| WO2020002893A1 (en) | System and method for generating entropy values |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| ASS | Succession or assignment of patent right |
Owner name: BEIJING XINTONGHUI TECHNOLOGY CO., LTD. Free format text: FORMER OWNER: STRONG NETWORK (BEIJING) SCIENCE + TECHNOLOGY DEVELOPMENT CO., LTD. Effective date: 20140728 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20140728 Address after: 100085 Beijing, Haidian District, No. ten on the ground floor, No. 1, building 18, floor 1805, 2 Applicant after: Beijing Xin Tonghui Science and Technology Ltd. Address before: 100085 Beijing City, Haidian District information industry base on the Street No. 1 building four layer section on the north side of A Applicant before: Sichuang wanglian (Beijing) Technology Development Co. Ltd. |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |