CN105873100A - Lightweight QoE (Quality of Experience) driven self-adaptive invulnerable wireless communication opportunity control method - Google Patents

Lightweight QoE (Quality of Experience) driven self-adaptive invulnerable wireless communication opportunity control method Download PDF

Info

Publication number
CN105873100A
CN105873100A CN201610191236.7A CN201610191236A CN105873100A CN 105873100 A CN105873100 A CN 105873100A CN 201610191236 A CN201610191236 A CN 201610191236A CN 105873100 A CN105873100 A CN 105873100A
Authority
CN
China
Prior art keywords
network
terminal
survivability
wireless
quality
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
Application number
CN201610191236.7A
Other languages
Chinese (zh)
Other versions
CN105873100B (en
Inventor
靳勇
李瑞刚
戴欢
蔡健
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changshu Institute of Technology
Original Assignee
Changshu Institute of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Changshu Institute of Technology filed Critical Changshu Institute of Technology
Priority to CN201610191236.7A priority Critical patent/CN105873100B/en
Publication of CN105873100A publication Critical patent/CN105873100A/en
Application granted granted Critical
Publication of CN105873100B publication Critical patent/CN105873100B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a lightweight QoE (Quality of Experience) driven self-adaptive invulnerable wireless communication opportunity control method. According to the method, an invulnerability antenna assembly is added to a wireless communication terminal device; whether to join an end to end wireless transmission opportunity network or not is judged according to wireless network quality; a lightweight QoE drive scheme is made based on channel quality of a user terminal; an optimum wireless opportunity network side transmission scheme is matched by using wireless transmission hop count, data scale and a life cycle according to a user demand, the network quality, the invulnerable capability of a wireless communication terminal and a wireless communication invulnerability demand; and the wireless transmission scheme is updated in real time by taking a session as a unit in a communication period. According to the method, the wireless communication terminal device is optimized and the wireless communication network is established opportunistically by taking the network real time quality, the wireless communication features of multimedia, streaming media and non-multimedia, and the invulnerability demand and user experience demand of the wireless communication network into full consideration; the quality of experience of the user is ensured; and moreover, the invulnerability of the wireless communication network is improved.

Description

The self adaptation that lightweight QoE drives is anti-ruins radio communication chance control method
Technical field
The present invention relates to wireless network survivability and wireless transmission opportunity control method, particularly relate to a kind of lightweight QoE drive scheme and self adaptation resist ruins radio communication chance control method, belongs to wireless network survivability and ensures and chance control Technical field.
Background technology
Opportunistic network technology, when recombinating wireless data transmission path and network thereof, needs to take wireless terminal ample resources With equipment, especially wireless signal send and receiver module.Wireless communication network topology has dynamic characteristic, Consumer's Experience simultaneously Quality has time variation, how to seek optimal control side between network robustness, user's request and wireless network dynamically change Case becomes key issue.Existing control method intelligence optimizes one or two targets, when comprehensively in above three target When considering three targets, directly result in cordless communication network and be difficult to meet user experience quality at consumption ample resources simultaneously.Mirror In this, the applicant has made useful design, and technical scheme described below produces under this background.
Summary of the invention
For above-mentioned the deficiencies in the prior art, it is an object of the invention to provide a kind of lightweight QoE (Quality of Experience, Quality of experience) self adaptation that drives is anti-ruins radio communication chance control method, and self adaptation opportunistic is set up and is met User experience quality demand, and dynamically change, according to network robustness and wireless network, the survivability channel radio being optimized simultaneously Communication network.
The self adaptation that lightweight QoE drives is anti-ruins radio communication chance control method, comprises the following steps:
S01, wireless communication terminal part affix one's name to survivability chance coupled antenna pair;
S02, wireless communication terminal state are defined as { communication distance, antenna profile area, operating frequency }, and user side is experienced Quality definition is { tolerant of delay tolerates data volume, tolerant transmission duration }, and described wireless communication terminal includes that survivability request is sent out Play wireless terminal and survivability request response wireless terminal;
The survivability request response wireless terminal status parameter value obtained in S03, integrating step S02, calculates this terminal Effective energy, effective running voltage and ERP, carry out primary control, draws candidate communication network node collection Close;
S04, record user side channel quality SNRUIf user side channel quality is for poor, and lightweight QoE drives weight to take Value is for [α, 1], if user side channel quality is excellent, lightweight QoE drive weight value be [0, α);
If the data type that S05 user side is asked is multimedia or Streaming Media, α value [0.5,1), if user The data type that end is asked is the other types in addition to multimedia and Streaming Media, and α value (0,0.5], then calculate user side Experience quality parameter value.
S06, data sending terminal, for the candidate communication set of network nodes of primary control, enter based on survivability demand Row maximum hop count and tolerant of delay, candidate network minimum data scale and tolerance data volume, candidate network minimum life cycle with Three optimal couplings in tolerant transmission cycle, determine after carrying out secondary control that optimal wireless is anti-and ruin opportunistic communication network;
S07, user side, in units of session, are initiated lightweight QoE to data sending terminal in real time and are driven and survivability request, According to step S03, S04, S05 and S06, real-time update is wireless anti-ruins opportunistic communication network.
Further, for drawing candidate communication set of network nodes, the primary control described in step S03, including following Step:
S3a, based on network quality wireless communication terminal status parameter values, survivability request initiates wireless terminal according to self Antenna gain, voltage and dump energy, and the survivability request response antenna gain of wireless terminal, dump energy and antenna Angle, calculates all survivabilities request response effective energy of terminal, active voltage and ERP;
S3b, it is less than when effective energy, active voltage and ERP sumShow net Network is of poor quality;When effective energy, active voltage and ERP sum are more thanShow network Functionality, quality and appealing design, selects the survivability request response terminal that network quality is excellent to constitute candidate communication set of network nodes.
Further, described user side channel quality refers to SNR for differenceULess than threshold valueUser side channel quality is excellent to refer to SNRUMore than threshold value
Further, opportunistic communication network is ruined, from the wireless communication network node of primary control to determine that optimal wireless is anti- Resource selection meets the killer opportunity survivability node of matching principle and forms final cordless communication network,
It is to make each wireless terminal in cordless communication network that maximum transmitted jumping figure described in step S06 mates with tolerant of delay Transmitting power be more than or equal toDescribed PS represents that data sending terminal launches power, and described Pi represents i-th The transmitting power of candidate terminal, described PmaxRepresent emission maximum merit in the candidate communication set of network nodes of primary control Rate, described PminRepresenting minimum emissive power in the candidate communication set of network nodes of primary control, described m represents primary The candidate communication set of network nodes number of terminals controlled;
It is to make cordless communication network average emitted power that described candidate network minimum data scale is mated with tolerance data volume It is equal toDescribed HopmaxRepresent maximum transmitted jumping figure, described THopRepresent a jumping propagation delay time, Described PERavgRepresent average packet loss ratio, forThis coupling enables the minimum data that cordless communication network correctly transmits Scale is more than or equal to minimum data amount needed for user;
Described candidate network minimum life cycle and tolerant transmission cycle match, be to make cordless communication network consumed energy equal Value is less than or equal toRunning voltage average is more than or equal to simultaneouslyDescribed GsTable Show data sending terminal antenna gain, described EiRepresent the energy consumption of i-th wireless terminal, described VsRepresent data sending terminal work electricity Pressure, described GURepresenting user side antenna gain, described w represents antenna angle, described TASRepresent antenna interfacial area, described ViTable Show the running voltage of i-th wireless terminal.The resource that this coupling makes cordless communication network transmission user requested data consume will not Cordless communication network is caused to destroy.
Further, described survivability chance coupled antenna to including that survivability initiates antenna and survivability responsive antenna, Described survivability is initiated allocating antenna and is initiated wireless terminal in survivability request, and described survivability responsive antenna is deployed in survivability Request response wireless terminal.
Technical scheme provided by the present invention provides the benefit that, uses survivability antenna module, both can initiate anti-ruining Property chance control command can accept again survivability chance control request;Based on wireless communication terminal according to quality of wireless network Distance, antenna profile area and operating frequency calculate the effective energy of this terminal, effective running voltage and ERP, control Make optimal survivability wireless terminal, thus the efficient resource for cordless communication network utilizes and lifecycle maximization provides and protects Barrier.Meeting survivability demand simultaneously, working out lightweight QoE drive scheme based on user side channel quality, calculate user side institute Patient time delay, data volume and transmission cycle;According to user's request, network quality, wireless communication terminal capability to resist destruction and nothing Line communication survivability demand, from being wirelessly transferred jumping figure, data scale and life cycle, mates optimal wireless opportunistic network side Transmission plan;During end-to-end communication, in units of session, based on network quality and the survivability real-time update side of being wirelessly transferred Case.Efficiently solve between user experience quality demand and network resources for wireless communication utilization rate and life cycle thereof exist swash Strong contradiction.
Accompanying drawing explanation
Fig. 1 is that self adaptation that lightweight QoE drives is anti-ruins radio communication chance control method schematic diagram.
Fig. 2 is that distance d is to effective energy μ ER, and affect schematic diagram.
Fig. 3 is antenna interfacial area TASTo active voltage μ VRChanging Pattern schematic diagram.
Fig. 4 is operating frequency fOCTo effective power μ PRAffect Changing Pattern schematic diagram.
Fig. 5 is survivability originating end antenna structure view.
Fig. 6 is survivability receiving terminal antenna structure view.
Fig. 7 is that survivability chance couples schematic equivalent circuit.
Detailed description of the invention
Below in conjunction with embodiment, the invention will be further described, but not as a limitation of the invention.
In wireless sensor network or Internet of Things opportunistic communication, it is assumed that the collection of n the neighbor node composition of data sending terminal S It is combined into NS.Wireless communication terminal state in this set is defined as { communication distance d, antenna profile area TAs, operating frequency fOC}.The antenna gain of S end is Gt, running voltage is Vm, transmitting power is Pt.The sky gain of the terminal of NS set is Gr, residue Energy is ES, running voltage is VS, reception power is PS.S end is w with the aerial signal angle of the terminal of NS set.According to formula (1), (2) and (3) can be calculated the effective energy of the terminal that NS gathers than μ ER, active voltage is than μ VRWith work ratio μ PR
μE R = P t G t 4 πd 2 E S - - - ( 1 )
μV R = V m V S c o s ( ω t + TA S π ) - - - ( 2 )
μP R = P t P S G r | f O C | 2 - - - ( 3 )
According to formula (1), (2) and (3), under assay heterogeneous networks quality, distance d to effective energy than μ ER, antenna Interfacial area TASTo active voltage than μ VRWith operating frequency fOCTo work ratio μ PRImpact, result such as Fig. 2,3 and 4 institutes Show.Refering to Fig. 2, have when SNR (English full name is: Signal to Noise Ratio, and Chinese is: signal to noise ratio) increases Usefulness is than μ ERIncrease therewith.When the communication distance of the terminal of transmitting terminal S with NS set increases, effective energy is than μ ERThe biggest. During identical network quality, the shortest capacity usage ratio of distance is the highest.When network quality is poor, capacity usage ratio is affected relatively by distance Low;When network quality is preferable, short haul connection is conducive to improving capacity usage ratio, and now opportunistic network has the most anti-ruining Property.Show, opportunistic communication must select according to network quality the neighbor node composition opportunistic network of suitable distance.Refering to Fig. 3 Find, along with the effective running voltage of improvement terminal of network quality incrementally increases, after network quality reaches certain value, effective work Tend towards stability as voltage.When antenna area of section increases, effective running voltage is the biggest, but when network quality is preferable, antenna cuts Face area is less on the impact of effective running voltage.Show, opportunistic communication must select appropriate antenna cross section according to network quality The neighbor node composition opportunistic network of area, can be effectively improved the survivability of opportunistic network.Find refering to Fig. 4, if network When quality is preferable, the highest work ratio of operating frequency is the least;Otherwise, operating frequency is more weak on the impact of work ratio.Table Bright, opportunistic communication can increase effective power by the operating frequency adjusting terminal, improve the survivability of opportunistic network further.
In sum, the effective energy of terminal based on NS set is than μ ER, active voltage is than μ VRWith work ratio μ PR Opportunistic network node select enforcement step specific as follows:
S01, according to formula (1), (2) and (3) calculate in NS set the effective energy of n terminal than μ ER, active voltage ratio μVRWith work ratio μ PR
S02, calculating obtain network quality and evaluate threshold value
S03, measurement obtain the average SNR of current networkavgIf, SNRavgLess than threshold value, show current network quality relatively Difference, turns to S04;Otherwise, current network quality preferably turns to S05;
S04, choose effective energy than μ ERIt is more thanActive voltage is than μ VRIt is more thanHave Effect power is than μ PRIt is more thanThe terminal new opportunistic network terminal set NS of composition1, turn to S06;
S05, choose d and be less thanTASIt is more thanOperating frequency fOCIt is less thanTerminal composition new Opportunistic network terminal set NS1
S06, by NS1Feed back to transmitting terminal S.
The channel quality assuming user receiving terminal U is SNRU, lightweight QoE drive weight be [0, α) or [α, 1], β table Show the U tolerance factor to different types of data.User side Quality of experience is defined as { tolerant of delay DU, tolerance data volume DSU, appearance Bearing transmission duration TDU}, respectively by formula (4), (5) and (6) are calculated.
D U = 1 TM U C U M U βDM U - - - ( 4 )
D S U = βTM U | TV U C U - DM U | 2 M U - - - ( 5 )
T D U = TM U | C U - M U TV U | 2 β M U - - - ( 6 )
Wherein, CUFor the computing capability of user receiving terminal U, MUFor the storage capacity of U, DMUFor the display capabilities of U, TVUFor U Be wirelessly transferred port receiving velocity, TMUNumber for U.Above-mentioned parameter value all can obtain from user side.
In sum, lightweight QoE actuation step is as follows:
S01, measure that to obtain the channel quality of user receiving terminal U be SNRU
If S02 is SNRULess than threshold valueShow that current network is second-rate, gently Magnitude QoE drives weight to be [α, 1], and the data type that user side is asked simultaneously is multimedia or Streaming Media, α ∈ [0.5,1) And α value is excellent close to 1, β ∈ [1,1.5] and β value are excellent close to 1.5;If the data type that user side is asked is for removing Other types outside multimedia and Streaming Media, α ∈ (0,0.5] and α value with close to 0 for excellent, β ∈ [0.5,1] and β value are to connect Nearly 1 is excellent, turns to S04;
If S03 is SNRUMore than threshold valueShow that current network quality is more excellent, Lightweight QoE drive weight be [0, α), the data type that user side is asked simultaneously is multimedia or Streaming Media, α ∈ [0.5, 1] and α value is with close to 0.5 for excellent, β ∈ [1,1.5] and β value are with close to 1 for excellent;If the data class that user side is asked Type is the other types in addition to multimedia and Streaming Media, α ∈ [0,0.5] and α value with close to 0.5 for excellent, β ∈ [0.5,1] and β Value is close to 0.5 for excellent, to turn to S04;
S04, according to formula (4), (5) and (6) calculate the tolerant of delay DU of user side Quality of experience, tolerate data volume DSU, Tolerant transmission duration TDU;
S05, DU, DSU and TDU are fed back to transmitting terminal S.
The opportunistic network terminal set NS obtained for primary control1, total m terminal in this set.Drive in conjunction with QoE With survivability demand, according to following three matched rules, carry out secondary chance and control, determine optimization opportunistic network NSF
Matched rule one: maximum hop count and tolerant of delay matched rule.
Meet HOPmaxTHOP=DU.Wherein, HOPmaxRepresent maximum transmitted jumping figure, THOPRepresent a jumping propagation delay time.
Require NSFIn the transmitting power of each terminal more than or equal to formula (7) calculated mesh power minima
P ‾ m i n = 1 2 | P S | 2 | Σ i = 1 m P i P m a x + P m i n | 2 m Σ i = 1 m P i - - - ( 7 )
Wherein, PmaxRepresent NS1Middle terminal peak power, PminRepresent NS1Middle terminal minimum power.
Matched rule two: minimum data scale is mated with tolerance data volume.
Meet DSmin=DSU.Wherein, DSminRepresent that opportunistic network sends minimum data amount.
Require NSFCan the minimum data scale of Successful transmissions more than or equal to minimum data amount needed for user, average Launch power PavgWith average packet loss ratio PERavgMeet formula (8) described relation.
P a v g = 1 2 | P S | 2 m Σ i = 1 m DS i ( 1 - PER a v g ) ( P min 2 + P max 2 ) HOP m a x T H O P PER a v g = m 4 | P a v g Σ i = 1 m P i | - - - ( 8 )
Wherein, DSiRepresent opportunistic network NSFIn the transmission data volume of the i-th terminal, PiRepresent the transmitting merit of i-th terminal Rate.
Matched rule three: minimum life cycle mates with tolerant transmission duration.
Meet LCmin=TDU.Wherein, LCminFor opportunistic network minimum life cycle.
Require that transmitting data by user is consumed resource and be not result in that the i.e. opportunistic network energy expenditure of opportunistic network destruction is equal Value EnetWith running voltage VnetMeet relation shown in formula (9).
E n e t = Σ i = 1 m E i 2 πd 2 G U V n e t = V m Σ i = 1 m E i G U c o s ( ω t + TA S 2 π ) - - - ( 9 )
Wherein, EiRepresent the energy expenditure of i-th terminal.
Opportunistic network NS to primary control1, carry out secondary control according to above three matched rule, meet the end of condition The optimum opportunistic network of end composition, implementation step is specific as follows:
S01, calculating primary control opportunistic network NS1The maximum hop count of transmission, if meeting matched rule one, then NSF= NS1, turn to S05;Otherwise, NS is optimized according to formula (7)1, form new opportunistic network NS2
S02, computer can network N S2The minimum data scale of transmission, if meeting matched rule two, then NSF=NS2, turn To S05;Otherwise, NS is optimized according to formula (8)2, form new opportunistic network NS3
S03, computer can network N S3The minimum life cycle of transmission, if meeting matched rule three, then NSF=NS3, turn To S05;Otherwise, NS is optimized according to formula (9)3, form new opportunistic network NS4
S04、NSF=NS4
S04, by NSFFeed back to transmitting terminal S.
Based on above three matched rule, devise survivability antenna pair.Survivability as shown in Figure 5 initiates allocating antenna On data sending terminal S, the survivability responsive antenna shown in Fig. 6 is deployed in other opportunistic network terminals.Above-mentioned initiation-response Hardware support is provided by the survivability chance coupled modes shown in Fig. 7 for chance control method between antenna.
In Fig. 5, a and b represents chance dipole end, for receiving the signal fed back from neighbor node or user terminal, c Being inner antenna information enhancement and survivability reinforcing element with d, port is serial ports or wireless module, for being connected with server, MCU is microcontroller, and for controlling work schedule and the task distribution of this antenna, EEPROM is memorizer, and chance controls to calculate Method stores within the element.
In Fig. 6, port is for obtaining equipment electric attribute parameter from the wireless terminal of opportunistic network, and EEPROM is used for storing Chance controls optimized algorithm.D, e and f are wireless terminal survivability parts belonging to antenna, have signal and amplify and coupling modulation merit Can, h and l is dipole antenna pair, forms chance with a and the b end in Fig. 5 and couples.
What Fig. 7 was given is the chance coupled modes equivalent circuit between a transmitting terminal and an opportunistic network terminal, one Individual transmitting terminal is to the chance coupled modes between multiple opportunistic network terminals similarly.
The present invention, from network quality, controls the wireless terminal set with optimal survivability, checks the quality in conjunction with user's body Amount, opportunistic builds cordless communication network, and adaptive equalization QoE drives and survivability demand, thus be heterogeneous networks quality with Various wireless data transmission under user experience quality provide high survivability and high-quality guarantee.

Claims (5)

1. the self adaptation of a lightweight QoE driving is anti-ruins radio communication chance control method, it is characterised in that include following step Rapid:
S01, wireless communication terminal part affix one's name to survivability chance coupled antenna pair;
S02, wireless communication terminal state are defined as { communication distance, antenna profile area, operating frequency }, user side Quality of experience Being defined as { tolerant of delay tolerates data volume, tolerant transmission duration }, described wireless communication terminal includes that nothing is initiated in survivability request Line terminal and survivability request response wireless terminal;
The survivability request response wireless terminal status parameter value obtained in S03, integrating step S02, calculates the effective of this terminal Energy, effective running voltage and ERP, carry out primary control, draws candidate communication set of network nodes;
S04, record user side channel quality SNRUIf user side channel quality is for poor, and lightweight QoE driving weight value is [α, 1], if user side channel quality is excellent, lightweight QoE drive weight value be [0, α);
If the data type that S05 user side is asked is multimedia or Streaming Media, α value [0.5,1), if user side institute The data type of request is the other types in addition to multimedia and Streaming Media, and α value (0,0.5], then calculate user side and experience Quality parameter value.
S06, data sending terminal, for the candidate communication set of network nodes of primary control, are carried out based on survivability demand Big jumping figure and tolerant of delay, candidate network minimum data scale and tolerance data volume, candidate network minimum life cycle and tolerance Three optimal couplings of transmission cycle, determine after carrying out secondary control that optimal wireless is anti-and ruin opportunistic communication network;
S07, user side, in units of session, are initiated lightweight QoE to data sending terminal in real time and are driven and survivability request, according to Step S03, S04, S05 and S06, real-time update is wireless anti-ruins opportunistic communication network.
The self adaptation that lightweight QoE the most according to claim 1 drives is anti-ruins radio communication chance control method, its feature It is that the primary control described in step S03 comprises the following steps:
S3a, based on network quality wireless communication terminal status parameter values, the wireless terminal sky according to self is initiated in survivability request Line gain, voltage and dump energy, and the survivability request response antenna gain of wireless terminal, dump energy and antenna clip Angle, calculates all survivabilities request response effective energy of terminal, active voltage and ERP;
S3b, it is less than when effective energy, active voltage and ERP sumShow network matter It is poor to measure;When effective energy, active voltage and ERP sum are more thanShow network quality Excellent, select the survivability request response terminal that network quality is excellent to constitute candidate communication set of network nodes.
The self adaptation that lightweight QoE the most according to claim 1 drives is anti-ruins radio communication chance control method, its feature Being, described user side channel quality refers to SNR for differenceULess than threshold valueUser side Channel quality is excellent to refer to SNRUMore than threshold value
The self adaptation that lightweight QoE the most according to claim 1 drives is anti-ruins radio communication chance control method, its feature Being, the maximum transmitted jumping figure described in step S06 mates with tolerant of delay makes each wireless terminal in cordless communication network Transmitting power is more than or equal toDescribed PS represents that data sending terminal launches power, and described Pi represents that i-th is waited Select the transmitting power of terminal, described PmaxRepresent maximum transmission power in the candidate communication set of network nodes of primary control, Described PminRepresenting minimum emissive power in the candidate communication set of network nodes of primary control, described m represents primary control Candidate communication set of network nodes number of terminals;
It is to make cordless communication network average emitted power be equal to that described candidate network minimum data scale is mated with tolerance data volumeDescribed HopmaxRepresent maximum transmitted jumping figure, described THopRepresent a jumping propagation delay time, described PERavgRepresent average packet loss ratio, forThis coupling enables the minimum data scale that cordless communication network correctly transmits More than or equal to minimum data amount needed for user;
Described candidate network minimum life cycle and tolerant transmission cycle match, be to make cordless communication network consumed energy average little In being equal toRunning voltage average is more than or equal to simultaneouslyDescribed GsRepresent number According to transmitting terminal antenna gain, described EiRepresent the energy consumption of i-th wireless terminal, described VsRepresent data sending terminal running voltage, institute State GURepresenting user side antenna gain, described w represents antenna angle, described TASRepresent antenna interfacial area, described ViRepresent i-th The running voltage of individual wireless terminal.This coupling makes the resource of cordless communication network transmission user requested data consumption be not result in nothing Line communication network destroys.
The self adaptation that lightweight QoE the most according to claim 1 drives is anti-ruins radio communication chance control method, its feature Being, described survivability chance coupled antenna is to including that survivability initiates antenna and survivability responsive antenna, and described survivability is sent out Playing allocating antenna and initiate wireless terminal in survivability request, it is wireless that described survivability responsive antenna is deployed in survivability request response Terminal.
CN201610191236.7A 2016-03-30 2016-03-30 Adaptive anti-ruin of lightweight QoE driving wirelessly communicates chance control method Active CN105873100B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610191236.7A CN105873100B (en) 2016-03-30 2016-03-30 Adaptive anti-ruin of lightweight QoE driving wirelessly communicates chance control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610191236.7A CN105873100B (en) 2016-03-30 2016-03-30 Adaptive anti-ruin of lightweight QoE driving wirelessly communicates chance control method

Publications (2)

Publication Number Publication Date
CN105873100A true CN105873100A (en) 2016-08-17
CN105873100B CN105873100B (en) 2018-12-21

Family

ID=56626396

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610191236.7A Active CN105873100B (en) 2016-03-30 2016-03-30 Adaptive anti-ruin of lightweight QoE driving wirelessly communicates chance control method

Country Status (1)

Country Link
CN (1) CN105873100B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108092894A (en) * 2017-12-26 2018-05-29 河南工学院 For the method for routing of wireless network and routing node selection device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101483902A (en) * 2009-02-25 2009-07-15 南京邮电大学 Wireless multimedia sensor network routing method for guaranteeing QoS
CN102098691A (en) * 2011-03-25 2011-06-15 西安电子科技大学 Method for establishing scale-free sensor having survivability
CN103108371A (en) * 2011-11-14 2013-05-15 上海交通大学 Single antenna multichannel cognitive wireless sensor network route control method
WO2013072271A1 (en) * 2011-11-14 2013-05-23 Nokia Siemens Networks Oy Performing mobility load balancing and mobility robustness optimization between access nodes for only a subset of user equipment
CN103957114A (en) * 2014-02-24 2014-07-30 国家电网公司 Network survivability assessment method based on variation coefficient

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101483902A (en) * 2009-02-25 2009-07-15 南京邮电大学 Wireless multimedia sensor network routing method for guaranteeing QoS
CN102098691A (en) * 2011-03-25 2011-06-15 西安电子科技大学 Method for establishing scale-free sensor having survivability
CN103108371A (en) * 2011-11-14 2013-05-15 上海交通大学 Single antenna multichannel cognitive wireless sensor network route control method
WO2013072271A1 (en) * 2011-11-14 2013-05-23 Nokia Siemens Networks Oy Performing mobility load balancing and mobility robustness optimization between access nodes for only a subset of user equipment
CN103957114A (en) * 2014-02-24 2014-07-30 国家电网公司 Network survivability assessment method based on variation coefficient

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108092894A (en) * 2017-12-26 2018-05-29 河南工学院 For the method for routing of wireless network and routing node selection device
CN108092894B (en) * 2017-12-26 2020-05-29 河南工学院 Routing method and routing node selection device for wireless network

Also Published As

Publication number Publication date
CN105873100B (en) 2018-12-21

Similar Documents

Publication Publication Date Title
WO2021128608A1 (en) Multi-carrier resource allocation method employing wirelessly powered backscatter communication network
CN101594281A (en) Collecting network data of wireless sensor method, system and relevant device
CN109831808B (en) Resource allocation method of hybrid power supply C-RAN based on machine learning
CN101141388A (en) Method for implementing optimization energy consumption in Ad hoc network
Janatian et al. Optimal offloading strategy and resource allocation in SWIPT-based mobile-edge computing networks
Taruna et al. Distance based energy efficient selection of nodes to cluster head in homogeneous wireless sensor networks
CN103428806B (en) Joint relay selection in a kind of reliable collaboration communication and Poewr control method
CN105873100A (en) Lightweight QoE (Quality of Experience) driven self-adaptive invulnerable wireless communication opportunity control method
He et al. A novel distributed resource allocation scheme for wireless-powered cognitive radio Internet of Things networks
He et al. Energy-efficient cooperative MIMO routing in wireless sensor networks
Huang et al. A high-throughput wireless-powered relay network with joint time and power allocations
Guan et al. A multi-frequency communication routing protocol for mobile devices in the Internet of things
Suresh et al. Improving network lifetime and reducing energy consumption in wireless sensor networks
CN104618993B (en) The adaptive dynamic energy consumption optimization method of wireless sensor network based on JCNC
Li et al. Robust cooperative routing for ambient backscatter wireless sensor networks
Hoang et al. Exploiting wireless broadcast in spatially correlated sensor networks
Mishra et al. A dynamic energy-efficient chain formation scheme for PEGASIS in wireless sensor networks
Jang A study on a sequenced directed diffusion algorithm for sensor networks
Kour et al. Performance evaluation of HEED and H-HEED protocol for realistic models in WSN
Liu et al. On the design of ofdm-based simultaneous wireless information and power transfer in fog-radio access networks
Li et al. A new energy-efficient transmission scheme based ant colony algorithm for wireless sensor networks
CN103826266B (en) Topology control method for effectively reducing construction expenditure based on wireless lossy network
KR100984510B1 (en) Cooperative Communication Method for Wireless Sensor Network
Naruephiphat et al. Routing algorithm for balancing network lifetime and reliable packet delivery in Mobile Ad Hoc Networks
Nasaruddin et al. Inter-clustering Cooperative Relay Selection Schemes for 5G Device-to-device Communication Networks

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant