CN105873100B - Adaptive anti-ruin of lightweight QoE driving wirelessly communicates chance control method - Google Patents

Abstract

The invention discloses a lightweight QoE-driven self-adaptive anti-destroy wireless communication opportunity control method, which includes adding an indestructible antenna component to wireless communication terminal equipment; according to the quality of the wireless network as a decision whether to join the end-to-end wireless transmission opportunity network Basis; formulate a lightweight QoE drive scheme based on the channel quality of the user end; according to user needs, network quality, wireless communication terminal invulnerability and wireless communication invulnerability requirements, the wireless transmission hop count, data size and life cycle match the best The transmission scheme of the wireless opportunistic network side; during the communication period, the wireless transmission scheme is updated in real time in units of sessions. This method fully considers the real-time quality of the network, the characteristics of multimedia, streaming media and non-multimedia wireless communication, the requirements of wireless communication network anti-destruction and user experience requirements, optimizes wireless communication terminal equipment and opportunistically builds wireless communication networks, and ensures the quality of user experience. While improving the invulnerability of the wireless communication network.

Description

A Lightweight QoE-Driven Adaptive Control Method for Invulnerable Wireless Communication Opportunities

technical field

The invention relates to a wireless network survivability and a wireless transmission opportunity control method, in particular to a lightweight QoE driving scheme and an adaptive survivability wireless communication opportunity control method, belonging to the technical field of wireless network survivability guarantee and opportunity control.

Background technique

When opportunistic network technology reorganizes the wireless data transmission path and its network, it needs to occupy a lot of resources and equipment of the wireless terminal, especially the wireless signal sending and receiving module. At the same time, the wireless communication network topology is dynamic, and the quality of user experience is time-varying. How to find an optimal control scheme among network robustness, user needs, and wireless network dynamic changes has become a key issue. Existing control methods intelligently optimize one or two of the above three objectives. When the three objectives are considered comprehensively, it directly causes the wireless communication network to consume a large amount of resources and is difficult to meet user experience quality. In view of this, the applicant has made a beneficial design, and the technical solution to be introduced below is produced under this background.

Contents of the invention

Aiming at the deficiencies of the above-mentioned prior art, the purpose of the present invention is to provide a lightweight QoE (Quality of Experience, quality of experience) driven adaptive anti-destruction wireless communication opportunity control method. The adaptive opportunistic construction meets the user quality of experience requirements, And at the same time, it is an indestructible wireless communication network optimized according to the network robustness and the dynamic changes of the wireless network.

A lightweight QoE-driven adaptive survivable wireless communication opportunity control method, comprising the following steps:

S01. Deploy invulnerable opportunistically coupled antenna pairs on wireless communication terminals;

S02. The state of the wireless communication terminal is defined as {communication distance, antenna cross-sectional area, operating frequency}, and the quality of user experience is defined as {tolerable delay, tolerated data volume, and tolerated transmission time}. The wireless communication terminal includes an invulnerability request Initiate wireless terminals and invulnerability requests to respond to wireless terminals;

S03. Combining the invulnerability request response wireless terminal state parameter value obtained in step S02, calculate the effective energy, effective working voltage and effective transmission power of the terminal, perform primary control, and obtain a set of candidate wireless communication network nodes;

S04. The channel quality SNR _U of the user terminal is measured. If the channel quality of the user terminal is poor, the lightweight QoE driving weight value is [α, 1]; if the channel quality of the user terminal is excellent, the lightweight QoE driving weight value is set to is [0,α);

S05. If the data type requested by the user terminal is multimedia or streaming media, α takes the value [0.5, 1), and if the data type requested by the user terminal is other types except multimedia and streaming media, α takes the value (0, 0.5], and then calculate the user-side quality of experience parameter value.

S06. For the set of candidate wireless communication network nodes under primary control, the data sender performs maximum transmission hops and tolerable delay, candidate network minimum data size and tolerable data volume, candidate network minimum life cycle and tolerable transmission cycle based on invulnerability requirements The three best matches of , and determine the best wireless invulnerability communication network after secondary control;

S07. The user end initiates a lightweight QoE drive and survivability request to the data sending end in real time in units of sessions, and updates the wireless survivability communication network in real time according to steps S03, S04, S05 and S06.

Further, in order to obtain the set of candidate wireless communication network nodes, the primary control described in step S03 includes the following steps:

S3a. Based on the state parameter value of the network quality wireless communication terminal, the wireless terminal initiating the invulnerability request calculates according to its own antenna gain, voltage and residual energy, and the antenna gain, residual energy and antenna angle of the wireless terminal in response to the invulnerability request Effective energy, effective voltage and effective transmit power of all survivability request responding terminals;

S3b. When the sum of effective energy, effective voltage and effective transmit power is less than Indicates that the network quality is poor; when the sum of effective energy, effective voltage and effective transmit power is greater than It indicates that the network quality is excellent, and the invulnerability request-response terminals with excellent network quality are selected to form a set of candidate wireless communication network nodes.

Further, the poor channel quality of the user terminal means that the SNR _U is less than the threshold value The channel quality of the user end is excellent, which means that the SNR _U is greater than the threshold

Further, in order to determine the best wireless survivability opportunity communication network, select the best opportunity survivability nodes satisfying the matching principle from the primary control wireless communication network node set to form the final wireless communication network,

The matching of the maximum number of transmission hops and the tolerance delay described in step S06 is to make the transmission power of each wireless terminal in the wireless communication network greater than or equal to The P _S represents the transmission power of the data sending end, the P _i represents the transmission power of the i-th candidate terminal, the P _max represents the maximum transmission power in the set of candidate wireless communication network nodes controlled by the primary, and the P _min represents the primary The minimum transmit power in the set of candidate wireless communication network nodes controlled, and the m represents the number of terminals in the set of candidate wireless communication network nodes controlled by the primary stage;

The matching between the minimum data size of the candidate network and the tolerated data volume is to make the average transmission power of the wireless communication network equal to The Hop _max represents the maximum number of transmission hops, the T _Hop represents a one-hop transmission delay, and the PER _avg represents the average packet loss rate, which is The matching enables the wireless communication network to correctly transmit the minimum data size greater than or equal to the minimum data volume required by the user;

The minimum life cycle of the candidate network matches the tolerable transmission cycle, so that the average energy consumption of the wireless communication network is less than or equal to At the same time, the average working voltage is greater than or equal to The G _s represents the antenna gain of the data transmitting end, the E _i represents the energy consumption of the i-th wireless terminal, the V _s represents the working voltage of the data transmitting end, the G _U represents the antenna gain of the user end, and the w represents Antenna angle, the _TAS represents the area of the antenna interface, and the V _i represents the working voltage of the i-th wireless terminal. This matching enables the resource consumed by the wireless communication network to transmit the data required by the user to not lead to the destruction of the wireless communication network.

Further, the survivability opportunistically coupled antenna pair includes a survivability initiation antenna and a survivability response antenna, the survivability initiation antenna is deployed on the survivability request initiation wireless terminal, and the survivability response antenna is deployed wireless terminal in response to a survivability request.

The beneficial effect of the technical solution provided by the present invention is that, by adopting the survivable antenna component, both the survivability opportunity control command and the survivability opportunity control request can be initiated; The cross-sectional area and operating frequency are used to calculate the effective energy, effective operating voltage, and effective transmission power of the terminal, and control the wireless terminal with the best invulnerability, thereby providing guarantee for efficient resource utilization and life cycle maximization of the wireless communication network. While meeting the requirements of invulnerability, formulate a lightweight QoE driving scheme based on the channel quality of the user terminal, and calculate the delay, data volume and transmission cycle that the user terminal can tolerate; according to user needs, network quality, and wireless communication terminal invulnerability and wireless communication invulnerability requirements, starting from wireless transmission hops, data size and life cycle, matching the best wireless opportunity network transmission scheme; during end-to-end communication, taking sessions as units, based on network quality and invulnerability The wireless transmission scheme is updated in real time. It effectively solves the fierce contradiction between user experience quality requirements and wireless communication network resource utilization and its life cycle.

Description of drawings

FIG. 1 is a schematic diagram of an adaptive survivable wireless communication opportunity control method driven by lightweight QoE.

Fig. 2 is a schematic diagram of the influence of the distance d on the effective energy μE _R .

Fig. 3 is a schematic diagram of the change rule of the antenna interface area _TAS to the effective voltage μV _R.

Fig. 4 is a schematic diagram of the change law of the influence of the operating frequency f _OC on the effective power μP _R.

Fig. 5 is a schematic diagram of the antenna structure of the invulnerable initiator.

Fig. 6 is a schematic diagram of the antenna structure of the indestructible receiving end.

FIG. 7 is a schematic diagram of an equivalent circuit of an invulnerable opportunistic coupling.

Detailed ways

The present invention will be further described below in conjunction with the examples, but not as a limitation of the present invention.

In wireless sensor network or Internet of Things opportunistic communication, it is assumed that the set of n neighbor nodes of data sender S is NS. The wireless communication terminal state in this set is defined as {communication distance d, antenna cross-sectional area TAs, operating frequency f _OC }. The gain of the antenna at the S terminal is G _t , the working voltage is V _m , and the transmitting power is P _t . The day gain of the terminal in the NS set is G _r , the remaining energy is _ES , the working voltage is V _S , and the receiving power is _PS . The angle between the antenna signals between the S terminal and the terminal of the NS collection is w. According to the formulas (1), (2) and (3), the effective energy ratio μE _R , effective voltage ratio _μVR and effective power ratio μP _R of the terminals of the NS set can be calculated.

According to the formulas (1), (2) and (3), analyze and evaluate the distance d to the effective energy ratio μE _R , the antenna interface area TA _S to the effective voltage ratio μV _R and the operating frequency f _OC to the effective power ratio under different network qualities The effect of μP _R , the results are shown in Figures 2, 3 and 4. Referring to FIG. 2 , when the SNR (full name in English: Signal to Noise Ratio, Chinese name: Signal to Noise Ratio) increases, the effective energy ratio μE _R increases accordingly. When the communication distance between the sending end S and the terminals of the NS set increases, the effective energy ratio _μER becomes larger. When the network quality is the same, the shorter the distance, the higher the energy utilization rate. When the network quality is poor, the influence of distance on energy utilization is low; when the network quality is good, short-distance communication is beneficial to improve energy utilization, and opportunistic networks have better invulnerability at this time. It shows that in opportunistic communication, the neighbor nodes with proper distance must be selected according to the network quality to form an opportunistic network. Referring to Figure 3, it is found that the effective working voltage of the terminal gradually increases with the improvement of the network quality, and when the network quality reaches a certain value, the effective working voltage tends to be stable. When the cross-sectional area of the antenna increases, the effective working voltage increases, but when the network quality is good, the cross-sectional area of the antenna has little effect on the effective working voltage. It shows that in opportunistic communication, neighbor nodes with suitable antenna cross-sectional area must be selected according to the network quality to form an opportunistic network, which can effectively improve the invulnerability of the opportunistic network. Referring to Figure 4, it is found that if the network quality is good, the higher the operating frequency, the smaller the effective power ratio; otherwise, the effect of the operating frequency on the effective power ratio is weak. It shows that in opportunistic communication, the effective power can be increased by adjusting the operating frequency of the terminal, and the invulnerability of opportunistic networks can be further improved.

To sum up, the implementation steps of opportunistic network node selection based on the terminal’s effective energy ratio μE _R , effective voltage ratio μV _R and effective power ratio μP _R of the NS set are as follows:

S01. Calculate the effective energy ratio μE _R , effective voltage ratio μV _R and effective power ratio μP _R of n terminals in the NS set according to formulas (1), (2) and (3);

S02. Calculate and obtain the network quality evaluation threshold value

S03. Measure and obtain the average SNR _avg of the current network. If the SNR _avg is smaller than the threshold value, it indicates that the current network quality is poor, and turn to S04; otherwise, turn to S05 if the current network quality is good;

S04. Select the effective energy ratio μE _R greater than RMS voltage ratio greater than μV _R The effective power ratio μP _R is greater than terminals form a new opportunistic network terminal set NS ₁ , and turn to S06;

S05. Select d to be less than TA _S is greater than The operating frequency f _OC is less than The terminals form a new opportunistic network terminal set NS ₁ ;

S06. Feed back NS ₁ to the sending end S.

Assume that the channel quality of user receiving end U is SNR _U , and the lightweight QoE driving weight is [0,α) or [α,1], and β represents U’s tolerance factor for different types of data. The quality of user experience is defined as {tolerable delay DU, tolerable data volume DSU, and tolerable transmission time TDU}, which are calculated by formulas (4), (5) and (6) respectively.

Among them, _CU is the computing capability of the user receiving end U, M _U is the storage capability of U, DM _U is the display capability of U, TV _U is the receiving rate of U's wireless transmission port, and TM _U is the number of Us. All the above parameter values can be obtained from the user end.

To sum up, the lightweight QoE driver steps are as follows:

S01, the measured channel quality of the user receiving end U is SNR _U ;

S02. If the SNR _U is less than the threshold value Indicates that the current network quality is poor, the lightweight QoE driving weight is [α,1], and the data type requested by the client is multimedia or streaming media, α∈[0.5,1) and the value of α is close to 1 is optimal, β∈[1,1.5] and the value of β is close to 1.5 is optimal; if the data type requested by the client is other than multimedia and streaming media, α∈(0,0.5] and the value of α is close to 0 is the best Excellent, β∈[0.5,1] and the value of β is close to 1, then turn to S04;

S03. If the SNR _U is greater than the threshold value Indicates that the current network quality is relatively good, the lightweight QoE driving weight is [0,α), and the data type requested by the client is multimedia or streaming media, α∈[0.5,1] and the value of α is preferably close to 0.5 , β∈[1,1.5] and the value of β is preferably close to 1; if the data type requested by the client is other types except multimedia and streaming media, α∈[0,0.5] and the value of α is close to 0.5 is the best, β∈[0.5,1] and the value of β is close to 0.5 is the best, turn to S04;

S04. According to formulas (4), (5) and (6), calculate the tolerance delay DU, tolerance data amount DSU, and tolerance transmission duration TDU of the quality of experience of the user terminal;

S05. Feed back the DU, DSU and TDU to the sending end S.

For the opportunistic network terminal set NS ₁ obtained through primary control, there are m terminals in this set. Combined with QoE drive and invulnerability requirements, according to the following three matching rules, the secondary opportunity control is carried out to determine the optimal opportunistic network NS _F .

Matching rule 1: Matching rules for maximum transmission hops and tolerable delay.

HOP _{max THOP} = DU is satisfied. Wherein, HOP _max represents the maximum number of transmission hops, and _THOP represents a one-hop transmission delay.

The transmit power of each terminal in NS _F is required to be greater than or equal to the minimum matching power calculated by formula (7)

Wherein, P _max represents the maximum power of the terminal in NS ₁ , and P _min represents the minimum power of the terminal in NS ₁ .

Matching rule 2: The minimum data size matches the tolerance data volume.

Satisfy DS _min =DSU. Among them, DS _min represents the minimum amount of data sent by the opportunistic network.

It is required that the minimum data size that the _NSF can successfully transmit is greater than or equal to the minimum data volume required by the user, and the average transmit power P _avg and the average packet loss rate PER _avg satisfy the relationship described in formula (8).

Among them, DS _i represents the amount of data sent by the i-th terminal in the opportunistic network NS _F , and P _i represents the transmit power of the i-th terminal.

Matching rule 3: The minimum lifetime matches the tolerable transmission duration.

Satisfy LC _min =TDU. Among them, LC _min is the minimum life cycle of the opportunistic network.

It is required that the resources consumed for data transmission for users will not lead to the destruction of the opportunistic network, that is, the average energy consumption E _net of the opportunistic network and the operating voltage V _net satisfy the relationship shown in formula (9).

Among them, E _i represents the energy consumption of the i-th terminal.

For the primary-controlled opportunistic network NS ₁ , the secondary control is carried out according to the above three matching rules, and the terminals that meet the conditions form the optimal opportunistic network. The implementation steps are as follows:

S01. Calculate the maximum number of transmission hops for primary control opportunistic network NS _1. If matching rule 1 is satisfied, then NS _F =NS ₁ , turn to S05; otherwise, optimize NS ₁ according to formula (7) to form a new opportunistic network NS ₂ ;

S02, the minimum data scale of computer opportunistic network NS ₂ transmission, if match rule 2 is met, then NS _F =NS ₂ , turn to S05; Otherwise, optimize NS ₂ according to formula (8), form new opportunistic network NS ₃ ;

S03, the minimum life cycle of computer opportunistic network NS ₃ transmission, if matching rule three is satisfied, then NS _F =NS ₃ , turn to S05; otherwise, optimize NS ₃ according to formula (9) to form a new opportunistic network NS ₄ ;

S04, NS _F = NS ₄ ;

S05. Feedback the NS _F to the sending end S.

Based on the above three matching rules, an invulnerable antenna pair is designed. The invulnerability initiating antenna shown in Figure 5 is deployed on the data sending end S, and the invulnerability response antenna shown in Figure 6 is deployed on other opportunistic network terminals. The aforementioned initiator-response antennas provide hardware support for the opportunistic control method through the indestructible opportunistic coupling mode shown in FIG. 7 .

In Fig. 5, a and b represent opportunity dipole terminals, which are used to receive signals fed back from neighbor nodes or user terminals, c and d are internal information enhancement and invulnerability enhancement components of the antenna, and the ports are serial ports or wireless modules, used In connection with the server, the MCU is a microcontroller, which is used to control the working timing and task distribution of the antenna, and the EEPROM is a memory, and the opportunity control algorithm is stored in this component.

In Figure 6, the port is used to obtain the electrical property parameters of the device from the wireless terminal of the opportunistic network, and the EEPROM is used to store the opportunistic control optimization algorithm. d, e, and f are invulnerable parts of the wireless terminal to which the antenna belongs, with signal amplification and coupling modulation functions, h and l are dipole antenna pairs, which form opportunistic coupling with a and b terminals in Figure 5.

Figure 7 shows the equivalent circuit of an opportunistic coupling mode between a sender and an opportunistic network terminal, and the opportunistic coupling mode between a sender and multiple opportunistic network terminals is similar to this.

Starting from the network quality, the present invention controls the set of wireless terminals with the best invulnerability, combines the quality of user experience, opportunistically builds a wireless communication network, and adaptively balances QoE drive and invulnerability requirements, thereby providing different network quality and user experience All kinds of wireless data transmission under high quality provide high invulnerability and high quality guarantee.

Claims (4)

1. A light-weight QoE-driven adaptive survivable wireless communication opportunity control method, characterized in that, comprising the following steps: S01. Deploy invulnerable opportunistically coupled antenna pairs on wireless communication terminals; S02. The state of the wireless communication terminal is defined as {communication distance, antenna cross-sectional area, operating frequency}, and the quality of user experience is defined as {tolerable delay, tolerated data volume, and tolerated transmission time}. The wireless communication terminal includes an invulnerability request Initiate wireless terminals and invulnerability requests to respond to wireless terminals; S03. Combining the invulnerability request response wireless terminal state parameter value obtained in step S02, calculate the effective energy, effective working voltage and effective transmission power of the terminal, perform primary control, and obtain a set of candidate wireless communication network nodes; Primary control, including the following steps: S3a. Based on the state parameter value of the network quality wireless communication terminal, the wireless terminal initiating the invulnerability request calculates according to its own antenna gain, voltage and residual energy, and the antenna gain, residual energy and antenna angle of the wireless terminal in response to the invulnerability request Effective energy, effective voltage and effective transmit power of all survivability request responding terminals; S3b. When the sum of effective energy, effective voltage and effective transmit power is less than Indicates that the network quality is poor; when the sum of effective energy, effective voltage and effective transmit power is greater than Indicates that the network quality is excellent, and the invulnerability request-response terminals with excellent network quality are selected to form a set of candidate wireless communication network nodes. The set of n neighbor nodes of the data sending end S is NS, and μE _R represents the effective energy of the terminals in the NS set Ratio; μV _R represents the effective voltage ratio of the terminal, and μP _R represents the effective power ratio of the terminal; S04. The channel quality SNR _U of the user terminal is measured. If the channel quality of the user terminal is poor, the lightweight QoE driving weight value is [α, 1]; if the channel quality of the user terminal is excellent, the lightweight QoE driving weight value is set to is [0,α); S05. If the data type requested by the user terminal is multimedia or streaming media, α takes the value [0.5, 1), and if the data type requested by the user terminal is other types except multimedia and streaming media, α takes the value (0, 0.5], and then calculate the QoE parameter value of the client; S06. For the set of candidate wireless communication network nodes under primary control, the data sender performs the maximum transmission hops and tolerable delay, the minimum data size and tolerable data volume of the candidate network, the minimum life cycle of the candidate network and the tolerable transmission cycle based on the invulnerability requirements The three best matches of , and determine the best wireless invulnerability communication network after secondary control; S07. The user end initiates a lightweight QoE drive and survivability request to the data sending end in real time in units of sessions, and updates the wireless survivability communication network in real time according to steps S03, S04, S05 and S06. 2. The light-weight QoE-driven adaptive survivable wireless communication opportunity control method according to claim 1, wherein the poor channel quality of the user terminal means that the SNR _U is less than a threshold value The channel quality of the user end is excellent, which means that the SNR _U is greater than the threshold μE _R (i) represents the effective energy ratio of the i-th terminal of the NS set; μV _R (i) represents the effective voltage ratio of the i-th terminal of the NS set; μP _R (i) represents the ratio of the i-th terminal of the NS set effective power ratio. 3. The light-weight QoE-driven adaptive destructive wireless communication opportunity control method according to claim 1, wherein the matching of the maximum number of transmission hops and the tolerance delay in step S06 is to make each wireless communication network The transmit power of a wireless terminal is greater than or equal to The P _S represents the transmission power of the data sending end, the P _i represents the transmission power of the i-th candidate terminal, the P _max represents the maximum transmission power in the set of candidate wireless communication network nodes controlled by the primary, and the P _min represents the primary The minimum transmit power in the set of candidate wireless communication network nodes controlled, and the m represents the number of terminals in the set of candidate wireless communication network nodes controlled by the primary stage; The matching between the minimum data size of the candidate network and the tolerated data volume is to make the average transmission power of the wireless communication network equal to The Hop _max represents the maximum number of transmission hops, the T _Hop represents a one-hop transmission delay, and the PER _avg represents the average packet loss rate, which is The matching enables the wireless communication network to correctly transmit the minimum data size greater than or equal to the minimum data volume required by the user; The minimum life cycle of the candidate network matches the tolerable transmission cycle, so that the average energy consumption of the wireless communication network is less than or equal to At the same time, the average working voltage is greater than or equal to The G _s represents the antenna gain of the data transmitting end, the E _i represents the energy consumption of the i-th wireless terminal, the V _s represents the working voltage of the data transmitting end, the G _U represents the antenna gain of the user end, and the w represents Antenna angle, the _TAS represents the area of the antenna interface, the V _i represents the working voltage of the i-th wireless terminal, and d represents the communication distance between the transmitting end S and the terminals in the NS set. 4. The lightweight QoE-driven adaptive survivable wireless communication opportunity control method according to claim 1, wherein the survivable opportunistically coupled antenna pair includes a survivable initiation antenna and a survivable response antenna The survivability initiating antenna is deployed on the survivability request initiating wireless terminal, and the survivability response antenna is deployed on the survivability request responding wireless terminal.