CN110958304B - Time division-oriented wireless energy-carrying transmission relay Internet of things low-power-consumption transmission method - Google Patents

Time division-oriented wireless energy-carrying transmission relay Internet of things low-power-consumption transmission method Download PDF

Info

Publication number
CN110958304B
CN110958304B CN201911110506.7A CN201911110506A CN110958304B CN 110958304 B CN110958304 B CN 110958304B CN 201911110506 A CN201911110506 A CN 201911110506A CN 110958304 B CN110958304 B CN 110958304B
Authority
CN
China
Prior art keywords
internet
things
relay
node
transmission
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.)
Active
Application number
CN201911110506.7A
Other languages
Chinese (zh)
Other versions
CN110958304A (en
Inventor
贾杰
陈剑
王兴伟
张明洋
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.)
Northeastern University China
Original Assignee
Northeastern University China
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 Northeastern University China filed Critical Northeastern University China
Priority to CN201911110506.7A priority Critical patent/CN110958304B/en
Publication of CN110958304A publication Critical patent/CN110958304A/en
Application granted granted Critical
Publication of CN110958304B publication Critical patent/CN110958304B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/38—TPC being performed in particular situations
    • H04W52/46—TPC being performed in particular situations in multi hop networks, e.g. wireless relay networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention provides a time division-oriented wireless energy-carrying transmission relay-oriented low-power-consumption transmission method for an internet of things, and relates to the technical field of the internet of things. The method comprises the steps that firstly, a plurality of relay nodes are deployed in a traditional Internet of things system, and an optimal data transmission model of energy-carrying transmission relays based on time division in the Internet of things is constructed; in the constructed data transmission model, the Internet of things node selects a unique relay node, and the relay node completes data forwarding; meanwhile, in order to avoid transmission interference, different transmission channels are set in and between the relay points, and the Internet of things nodes in the same relay coverage area communicate in a time slot multiplexing mode; and finally, optimizing parameters in the constructed optimal data transmission model by adopting a time division relay-based parameter optimization method. The method can improve the network performance to the greatest extent, and effectively makes up for the defects of the traditional relay communication on the basis of reducing the energy consumption of the nodes of the Internet of things.

Description

Time division-oriented wireless energy-carrying transmission relay Internet of things low-power-consumption transmission method
Technical Field
The invention relates to the technical field of Internet of things, in particular to a time division-oriented wireless energy-carrying transmission relay Internet of things low-power-consumption transmission method.
Background
Rapid advances in semiconductor technology, microsystems technology, modern networks, and short-range wireless communication technology have facilitated the generation and development of the Internet of Things (IoT). However, due to the limited resource and energy characteristics of the nodes of the internet of things and the multi-hop transmission characteristics of the internet of things system, how to maximally prolong the service life of the network becomes a critical problem that needs to be actually solved in the application trend of the internet of things. Wireless energy-carrying communication (SWIPT) is a novel Wireless communication mode, and can transmit data and energy at the same time, so that energy consumption of traditional Wireless communication is effectively reduced, and the possibility of improving the performance of an internet of things system is provided.
The wireless energy-carrying communication based on time division is one of typical implementation manners of SWIPT, and the communication manner generally divides a data transmission period into three time periods of energy transmission, data receiving and data forwarding, wherein the energy transmission is used for receiving charging electric energy from a source node, the data receiving is used for receiving data from the source node, and the data forwarding completes the forwarding of the received data based on the received energy.
Cooperative communication based on the relay node becomes a typical method for improving performance in the internet of things, and compared with a traditional communication mode, the relay communication can remarkably reduce the communication distance of a network, so that the survival time of the network is prolonged. However, after the relay node is introduced, the relay node needs to receive and forward data at the same time, so that the relay node has higher energy consumption than the conventional node, and further, the performance of the network is severely limited by the relay bearer energy, and becomes a bottleneck of the network performance.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a time division-oriented wireless energy-carrying transmission relay-oriented internet of things low-power-consumption transmission method, aiming at the defects of the prior art, and effectively improve the transmission performance of the internet of things.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: the time division wireless energy-carrying transmission relay-oriented low-power-consumption transmission method for the Internet of things comprises two parts of constructing an optimal data transmission model based on time division energy-carrying transmission relays in the Internet of things and optimizing parameters in the constructed optimal data transmission model by adopting a time division relay-based parameter optimization method;
the specific method for constructing the optimal data transmission model based on the time division energy-carrying transmission relay in the Internet of things comprises the following steps:
deploying a plurality of relay nodes in a traditional Internet of things system; after the relay nodes are deployed, the Internet of things nodes select the only relay node, and the relay nodes finish data forwarding; the relay node serves an Internet of things node in the Internet of things system and is connected with the only sink node; representing the set of the relay points as R ═ {1, 2 …, R }, wherein R is the total number of the relay points deployed in the Internet of things system; the node set of the internet of things is S ═ 1, 2, …, S }, and S is the total number of the nodes of the internet of things in the internet of things system; unique sink in Internet of things systemThe aggregation node is S0And S ∈ S and S0The direct communication between the relay nodes needs the relay point R to be supported by the R; in order to reduce the communication distance of the nodes of the Internet of things, the relay node closest to the nodes of the Internet of things is selected as the forwarding relay of the relay node, and the node set of the Internet of things defining the service of the relay node r is represented as Ur(ii) a Each node of the Internet of things can be set to be served by only one relay point, and one relay point serves a plurality of nodes of the Internet of things, so that
Figure BDA0002272565960000021
And is
Figure BDA0002272565960000022
For each relay point, setting the transmission time block of the relay point to be normalized as T1; transmitting a part of alpha T of the time block for energy collection, wherein alpha is a time allocation factor and is more than or equal to 0 and less than or equal to 1; the rest time is used for data transmission, wherein a first rest time block rho T is used for data transmission of a coverage node in the relay, rho is also a time allocation factor, and rho is more than or equal to 0 and less than or equal to 1; a second remaining time block (1-alpha-rho) T completes the forwarding of the data based on the energy collected in the alpha T time; meanwhile, in order to avoid transmission interference, different transmission channels are set to be adopted inside the relay point and between the relay points, the Internet of things nodes in the same relay coverage range communicate in a time slot multiplexing mode, and the time for transmitting uplink data of each Internet of things node to the relay point is
Figure BDA0002272565960000023
Wherein | UrI is the number of nodes of the Internet of things covered by the relay point r;
the specific method for optimizing the parameters in the constructed optimal data transmission model by adopting the time division relay-based parameter optimization method comprises the following steps:
step1, inputting preset energy collection time alpha T ═ sigma T, relay node data transmission time rho ═ sigma T, sigma is an initial minimum value preset by a time distribution factor, and the minimum transmission rate requirement R of each internet of things nodemSetting each node u of the Internet of thingsrInitial minimum transmission power of
Figure BDA0002272565960000024
Is a node u of the Internet of thingsrThe maximum transmission power of;
step2, solving the node u of the Internet of things serving the relay point r based on the energy collection time alpha Tr∈UrOptimum communication power of
Figure BDA0002272565960000025
The specific method comprises the following steps:
step2.1. calculating node u of Internet of thingsrThe value of the uplink transmission rate is shown in the following formula:
Figure BDA0002272565960000026
wherein the content of the first and second substances,
Figure BDA0002272565960000027
is a node u of the Internet of thingsrW is the bandwidth of the unit channel,
Figure BDA0002272565960000028
is a node u of the Internet of thingsrTransmission fading parameter, N, with relay point r0Is the noise power;
step2.2. according to the lowest transmission rate requirement R of the nodes of the Internet of thingsmConstructing a forwarding rate constraint of the relay node r, namely that the data volume transmitted to the relay node is not less than the data volume originally transmitted to the sink node, wherein the following formula is shown:
Figure BDA0002272565960000029
step2.3, solving the node u of the Internet of things according to the forwarding rate constraint of the relay node rrOptimum transmission power of
Figure BDA00022725659600000210
As shown in the following equation:
Figure BDA0002272565960000031
step3. according to
Figure BDA0002272565960000032
And alpha and rho solve the forwarding rate gamma of the relay pointrThe specific method comprises the following steps:
step3.1. solving the stored energy E of the relay point rrThe following formula shows:
Figure BDA0002272565960000033
wherein λ is the energy storage efficiency of the relay point;
step3.2. solving the Transmission Power P of the Relay Point rrThe following formula shows:
Figure BDA0002272565960000034
step3.3 calculates the forwarding rate gamma of the relay point rrThe following formula shows:
Figure BDA0002272565960000035
wherein Hr，sThe transmission fading parameters from the relay point r to the sink node;
step4. judging the forwarding rate gamma of the relay point rrWhether the following rate constraint is satisfied, that is, the data volume forwarded by the relay point is greater than the data volume generated by all the nodes of the internet of things, is shown in the following formula:
Figure BDA0002272565960000036
if the rate constraint is satisfied, then determining whether the rate constraint is satisfied
Figure BDA0002272565960000037
If so, setting the node u of the Internet of thingsrMinimum power of
Figure BDA0002272565960000038
Optimal value alpha of the time allocation factoroptimal＝α，ρoptimalThen Step5 is executed, otherwise Step5 is executed directly;
if the rate constraint is not satisfied, directly execute Step 5;
step5, updating alpha to alpha + sigma, and judging whether alpha is larger than 1-rho, if so, executing Step6, otherwise, executing Step2 again;
and Step6, updating rho to rho + sigma, judging whether rho is larger than 1, if so, completing parameter optimization in the optimal data transmission model, and otherwise, executing Step2 again.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in: according to the time division-oriented wireless energy-carrying transmission relay-oriented Internet of things low-power-consumption transmission method, the relay node does not need to carry energy, data forwarding is completed mainly based on the obtained energy, and energy limitation constraint is effectively avoided, so that network performance can be improved to the maximum extent finally, and the defects of traditional relay communication are effectively overcome on the basis of reducing energy consumption of the Internet of things node; the method can be directly applied to network repair of the traditional Internet of things, and when the traditional Internet of things is faced with the situation that the Internet of things nodes and the sink nodes cannot communicate, the interconnection and the intercommunication of data can be directly completed after the relay deployment of the method is adopted.
Drawings
Fig. 1 is a schematic diagram of relaying data transmission by time division according to an embodiment of the present invention;
fig. 2 is an optimal data transmission model of a time-division-based energy-carrying transmission relay according to an embodiment of the present invention;
fig. 3 is a flowchart for optimizing parameters in a constructed optimal data transmission model by using a time division relay-based parameter optimization method according to an embodiment of the present invention;
fig. 4 is a variation curve of the distribution factor value of the total relay transmission power with time under different minimum transmission rate requirements according to the embodiment of the present invention;
fig. 5 is a graph comparing the total transmission power at different transmission rates in the optimal data transmission model according to the present invention and the conventional direct transmission model.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In the embodiment, the time division wireless energy-carrying transmission relay-oriented low-power-consumption transmission method for the internet of things comprises two parts of constructing an optimal data transmission model based on time division energy-carrying transmission relays in the internet of things and optimizing parameters in the constructed optimal data transmission model by adopting a time division relay-based parameter optimization method;
the specific method for constructing the optimal data transmission model based on the time division energy-carrying transmission relay in the Internet of things comprises the following steps:
deploying a plurality of relay nodes in a traditional Internet of things system; after the relay nodes are deployed, the Internet of things nodes select the only relay node, and the relay nodes finish data forwarding; the relay node serves an Internet of things node in the Internet of things system and is connected with the only sink node; representing the set of the relay points as R ═ {1, 2 …, R }, wherein R is the total number of the relay points deployed in the Internet of things system; the node set of the internet of things is S ═ 1, 2, …, S }, and S is the total number of the nodes of the internet of things in the internet of things system; the only convergent node in the Internet of things system is S0And S ∈ S and S0The direct communication between the relay nodes needs the relay point R to be supported by the R; in order to reduce the communication distance of the nodes of the Internet of things, the relay node closest to the nodes of the Internet of things is selected as the forwarding relay of the nodes of the Internet of things, and the set of nodes of the Internet of things defining the service of the relay node r is represented as Ur(ii) a Each node of the Internet of things is set to be served by only one relay point, so that
Figure BDA0002272565960000041
And is
Figure BDA0002272565960000042
For each relay point, setting the transmission time block to be normalized to T ═ 1, as shown in FIG. 1, a part α T of the transmission time block is used for energy collection, where α is a time allocation factor, and α is greater than or equal to 0 and less than or equal to 1; the rest time is used for data transmission, wherein a first rest time block rho T is used for data transmission of a coverage node in the relay, rho is also a time allocation factor, and rho is more than or equal to 0 and less than or equal to 1; a second remaining time block (1-alpha-rho) T completes the forwarding of the data based on the energy collected in the alpha T time; meanwhile, in order to avoid transmission interference, different transmission channels are set to be adopted inside the relay point and between the relay points, the Internet of things nodes in the same relay coverage range communicate in a time slot multiplexing mode, and the time for transmitting uplink data of each Internet of things node to the relay point is
Figure BDA0002272565960000043
Wherein | UrI is the number of nodes of the Internet of things covered by the relay point r;
in this embodiment, the constructed optimal data transmission model is shown in fig. 2, in which a five-pointed star is a sink node of an internet of things system, a square node is a relay node, and a circular node is an internet of things node. And data is transmitted to the macro base station from the node of the Internet of things through the relay node in two hops. The distance between the Internet of things node and the relay node is l1The distance between the relay node and the macro base station is l2. It is assumed here that distances between all internet of things nodes and relay nodes are the same, and distances between the relay nodes and macro base stations are the same. In addition, the path loss between two nodes is | l--dDWhere l is the inter-node distance, dD is the path loss exponent, and the subcarrier bandwidth W is set to 20.
The method for optimizing the parameters in the constructed optimal data transmission model by adopting the time division relay-based parameter optimization method as shown in fig. 3 comprises the following steps:
step1, inputting a preset energy collection time α T ═ σ T, a relay node data transmission time ρ T ═ σ T, and σ is an initial minimum value preset by a time distribution factor, in the embodiment, σ ═ 0.05, and a minimum transmission rate requirement R of each internet of things nodemSetting each node u of the Internet of thingsrInitial minimum transmission power of
Figure BDA0002272565960000051
Is a node u of the Internet of thingsrThe maximum transmission power of;
step2, solving the node u of the Internet of things serving the relay point r based on the energy collection time alpha Tr∈UrOptimum communication power of
Figure BDA0002272565960000052
The specific method comprises the following steps:
step2.1. calculating node u of Internet of thingsrThe value of the uplink transmission rate is shown in the following formula:
Figure BDA0002272565960000053
wherein the content of the first and second substances,
Figure BDA0002272565960000054
is a node u of the Internet of thingsrW is the bandwidth of the unit channel,
Figure BDA0002272565960000055
is a node u of the Internet of thingsrTransmission fading parameter, N, with relay point r0Is the noise power;
step2.2. according to the lowest transmission rate requirement R of the nodes of the Internet of thingsmConstructing a forwarding rate constraint of the relay node r, namely the number of the plays transmitted to the relay node is not less than the data amount originally transmitted to the sink node, and the following formula is shown:
Figure BDA0002272565960000056
step2.3, solving the node u of the Internet of things according to the forwarding rate constraint of the relay node rrOptimum transmission power of
Figure BDA0002272565960000057
As shown in the following equation:
Figure BDA0002272565960000058
step3. according to
Figure BDA0002272565960000059
And alpha and rho solve the forwarding rate gamma of the relay pointrThe specific method comprises the following steps:
step3.1. solving the stored energy E of the relay point rrThe following formula shows:
Figure BDA00022725659600000510
wherein λ is the energy storage efficiency of the relay point;
step3.2. solving the Transmission Power P of the Relay Point rrThe following formula shows:
Figure BDA0002272565960000061
step3.3 calculates the forwarding rate gamma of the relay point rrThe following formula shows:
Figure BDA0002272565960000062
wherein Hr，sThe transmission fading parameters from the relay point r to the sink node;
step4. judging the forwarding rate gamma of the relay point rrWhether the rate constraint that the relay forwards the amount of data is satisfiedThe data volume generated by all nodes of the internet of things is larger than that generated by all nodes of the internet of things, and the following formula is shown:
Figure BDA0002272565960000063
if the rate constraint is satisfied, then determining whether the rate constraint is satisfied
Figure BDA0002272565960000064
If so, setting the node u of the Internet of thingsrMinimum power of
Figure BDA0002272565960000065
Optimal value alpha of the time allocation factoroptimal＝α，ρoptimalThen Step5 is executed, otherwise Step5 is executed directly;
if the rate constraint is not satisfied, directly execute Step 5;
step5, updating alpha to alpha + sigma, and judging whether alpha is larger than 1-rho, if so, executing Step6, otherwise, executing Step2 again;
and Step6, updating rho to rho + sigma, judging whether rho is larger than 1, if so, completing parameter optimization in the optimal data transmission model, and otherwise, executing Step2 again.
In this embodiment, a curve of the total relay transmission power with the time distribution factor α under different minimum transmission rate requirements is shown in fig. 4. At this time, the noise power N0Is arranged as 10-3The distance l is 2, the number of subcarriers is 3, and the network is divided into 3 clusters based on the number of subcarriers, the path loss exponent dD is set to 2.2, and the λ value is set to 0.9. As can be seen from the figure, no matter the minimum transmission rate requirement RmWhen the time distribution factor alpha is between 0.55 and 0.6, the power consumption of the Internet of things system can reach the lowest value.
In this embodiment, a comparison graph of total transmission power at different transmission rates in the optimal data transmission model and the conventional direct transmission model is also shown when the internet of things node distance l is 2, as shown in fig. 5. At this time, it is assumed that the environmental noise N0Is arranged as 10-3The path loss exponent dD is set to 2.2. As can be seen from the figure, the energy-carrying based relay transmission of the present invention is more energy efficient than the conventional direct transmission.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions and scope of the present invention as defined in the appended claims.

Claims (3)

1. A time division-oriented wireless energy-carrying transmission relay Internet of things low-power-consumption transmission method is characterized by comprising the following steps: the method comprises the steps of constructing an optimal data transmission model based on time division energy-carrying transmission relays in the Internet of things and optimizing parameters in the constructed optimal data transmission model by adopting a parameter optimization method based on time division relays;
the specific method for constructing the optimal data transmission model based on the time division energy-carrying transmission relay in the Internet of things comprises the following steps:
deploying a plurality of relay nodes in a traditional Internet of things system; after the relay nodes are deployed, the Internet of things nodes select the only relay node, and the relay nodes finish data forwarding; the relay node serves an Internet of things node in the Internet of things system and is connected with the only sink node; representing the set of the relay points as R ═ {1, 2 …, R }, wherein R is the total number of the relay points deployed in the Internet of things system; the node set of the internet of things is S ═ 1, 2, …, S }, and S is the total number of the nodes of the internet of things in the internet of things system; the only convergent node in the Internet of things system is S0And S ∈ S and S0The direct communication between the relay nodes needs the relay point R to be supported by the R; in order to reduce the communication distance of the nodes of the Internet of things, the relay node closest to the nodes of the Internet of things is selected as the forwarding relay of the relay node, and an Internet of things node set table of the relay node r service is definedShown as Ur(ii) a Each node of the Internet of things can be set to be served by only one relay point, and one relay point serves a plurality of nodes of the Internet of things, so that
Figure FDA0002946647480000014
r∈R，∪UrIs equal to S, and
Figure FDA0002946647480000015
for each relay point, setting the transmission time block of the relay point to be normalized as T1; transmitting a part of alpha T of the time block for energy collection, wherein alpha is a time allocation factor and is more than or equal to 0 and less than or equal to 1; the rest time is used for data transmission, wherein a first rest time block rho T is used for data transmission of a coverage node in the relay, rho is also a time allocation factor, and rho is more than or equal to 0 and less than or equal to 1; a second remaining time block (1-alpha-rho) T completes the forwarding of the data based on the energy collected in the alpha T time; meanwhile, in order to avoid transmission interference, different transmission channels are set to be adopted inside the relay point and between the relay points, the Internet of things nodes in the same relay coverage range communicate in a time slot multiplexing mode, and the time for transmitting uplink data of each Internet of things node to the relay point is
Figure FDA0002946647480000011
Wherein | UrI is the number of nodes of the Internet of things covered by the relay point r;
the specific method for optimizing the parameters in the constructed optimal data transmission model by adopting the time division relay-based parameter optimization method comprises the following steps:
step1, inputting preset energy collection time alpha T ═ sigma T, relay node data transmission time rho ═ sigma T, sigma is an initial minimum value preset by a time distribution factor, and the minimum transmission rate requirement R of each internet of things nodemSetting each node u of the Internet of thingsrInitial minimum transmission power of
Figure FDA0002946647480000012
Figure FDA0002946647480000013
Is a node u of the Internet of thingsrThe maximum transmission power of;
step2, solving the node u of the Internet of things serving the relay point r based on the energy collection time alpha Tr∈UrOptimum communication power of
Figure FDA0002946647480000017
Step3. according to
Figure FDA0002946647480000016
And alpha and rho solve the forwarding rate gamma of the relay pointr；
Step4. judging the forwarding rate gamma of the relay point rrWhether the following rate constraint is satisfied, that is, the data volume forwarded by the relay point is greater than the data volume generated by all the nodes of the internet of things, is shown in the following formula:
Figure FDA0002946647480000021
if the rate constraint is satisfied, then determining whether the rate constraint is satisfied
Figure FDA0002946647480000022
If so, setting the node u of the Internet of thingsrMinimum power of
Figure FDA0002946647480000023
Optimal value alpha of the time allocation factoroptimal＝α，ρoptimalThen Step5 is executed, otherwise Step5 is executed directly;
if the rate constraint is not satisfied, directly execute Step 5;
step5, updating alpha to alpha + sigma, and judging whether alpha is larger than 1-rho, if so, executing Step6, otherwise, executing Step2 again;
and Step6, updating rho to rho + sigma, judging whether rho is larger than 1, if so, completing parameter optimization in the optimal data transmission model, and otherwise, executing Step2 again.
2. The time-division-oriented wireless energy-carrying transmission relay internet of things low-power-consumption transmission method according to claim 1, characterized in that: the specific method of Step2 comprises the following steps:
step2.1. calculating node u of Internet of thingsrThe value of the uplink transmission rate is shown in the following formula:
Figure FDA0002946647480000024
wherein the content of the first and second substances,
Figure FDA0002946647480000025
is a node u of the Internet of thingsrW is the bandwidth of the unit channel,
Figure FDA0002946647480000026
is a node u of the Internet of thingsrTransmission fading parameter, N, with relay point r0Is the noise power;
step2.2. according to the lowest transmission rate requirement R of the nodes of the Internet of thingsmConstructing a forwarding rate constraint of the relay node r, namely that the data volume transmitted to the relay node is not less than the data volume originally transmitted to the sink node, wherein the following formula is shown:
Figure FDA0002946647480000027
step2.3, solving the node u of the Internet of things according to the forwarding rate constraint of the relay node rrOptimum transmission power of
Figure FDA0002946647480000028
As shown in the following equation:
Figure FDA0002946647480000029
3. the time-division-oriented wireless energy-carrying transmission relay internet of things low-power-consumption transmission method according to claim 2, characterized in that: the specific method of Step3 comprises the following steps:
step3.1. solving the stored energy E of the relay point rrThe following formula shows:
Figure FDA00029466474800000210
wherein λ is the energy storage efficiency of the relay point;
step3.2. solving the Transmission Power P of the Relay Point rrThe following formula shows:
Figure FDA0002946647480000031
step3.3 calculates the forwarding rate gamma of the relay point rrThe following formula shows:
Figure FDA0002946647480000032
wherein Hr，sIs the transmission fading parameter from the relay point r to the sink node.
CN201911110506.7A 2019-11-14 2019-11-14 Time division-oriented wireless energy-carrying transmission relay Internet of things low-power-consumption transmission method Active CN110958304B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911110506.7A CN110958304B (en) 2019-11-14 2019-11-14 Time division-oriented wireless energy-carrying transmission relay Internet of things low-power-consumption transmission method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911110506.7A CN110958304B (en) 2019-11-14 2019-11-14 Time division-oriented wireless energy-carrying transmission relay Internet of things low-power-consumption transmission method

Publications (2)

Publication Number Publication Date
CN110958304A CN110958304A (en) 2020-04-03
CN110958304B true CN110958304B (en) 2021-05-18

Family

ID=69977493

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911110506.7A Active CN110958304B (en) 2019-11-14 2019-11-14 Time division-oriented wireless energy-carrying transmission relay Internet of things low-power-consumption transmission method

Country Status (1)

Country Link
CN (1) CN110958304B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112533200B (en) * 2020-11-23 2021-10-08 广州技象科技有限公司 Data hopping transmission link management method and device based on system change

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109347609A (en) * 2018-10-17 2019-02-15 电子科技大学 Cooperation transmission method based on dynamic SWIPT in downlink NOMA communication system
CN110312269A (en) * 2019-05-29 2019-10-08 南京邮电大学 A kind of wireless portable communications system and its method transmitted based on energy-information tradeoff

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10361596B1 (en) * 2018-08-29 2019-07-23 King Fahd University Of Petroleum And Minerals Protocol, method and system for simultaneous wireless information and power transfer relaying network
CN109286426B (en) * 2018-09-25 2021-06-15 中国计量大学 Transmission method of wireless energy-carrying cooperative precoding spatial modulation system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109347609A (en) * 2018-10-17 2019-02-15 电子科技大学 Cooperation transmission method based on dynamic SWIPT in downlink NOMA communication system
CN110312269A (en) * 2019-05-29 2019-10-08 南京邮电大学 A kind of wireless portable communications system and its method transmitted based on energy-information tradeoff

Also Published As

Publication number Publication date
CN110958304A (en) 2020-04-03

Similar Documents

Publication Publication Date Title
Ju et al. User cooperation in wireless powered communication networks
US9980218B2 (en) System and method for user terminal-aware cell switch-off
US20140113644A1 (en) Method for controlling operation within a cell of a wireless cellular network, base station and wireless cellular network
CN103997740B (en) Cognitive-Cooperation network association resource allocation methods based on optimization utility
CN103415077A (en) United relay selection and power distribution method and system
CN111586646A (en) Resource allocation method for D2D communication combining uplink and downlink channels in cellular network
CN102196587B (en) Wireless-resource-dispatching method during multi-cell cooperation in relay-aided communication system
Kaufman et al. Femtocells in cellular radio networks with successive interference cancellation
CN110049473B (en) Joint wireless channel allocation and power control method for relay enhanced D2D communication
CN110958304B (en) Time division-oriented wireless energy-carrying transmission relay Internet of things low-power-consumption transmission method
Ioannou et al. Performance evaluation of transmission mode selection in D2D communication
CN106912059B (en) Cognitive relay network joint relay selection and resource allocation method supporting mutual information accumulation
Xiao et al. A two-hop proportional fairness scheduling algorithm for relay based OFDMA systems
KR102027413B1 (en) Method and apparatus for resource allocation
CN113630740B (en) Multi-unmanned aerial vehicle cellular spectrum dynamic access method based on multi-order information rate
Wu et al. Dynamic rate allocation, routing and spectrum sharing for multi-hop cognitive radio networks
US9924475B2 (en) Method for managing data transmission power in mobile cellular networks
Jeon et al. Energy-efficient distributed resource allocation with low overhead in relay cellular networks
CN107333319B (en) Cellular downlink communication energy efficiency optimization method
Wang et al. A semi-distributed resource allocation scheme for OFDMA relay-enhanced downlink systems
KR20120063744A (en) Method and apparatus for distributed transmission power control in wireless networks
Zhang et al. Hierarchical resource allocation scheme for M2M communications enabled by cellular networks
Maher et al. Optimal power allocation for multiple D2D users in HetNets with channel estimation error
Qiu et al. Relay selection and power allocation scheme for cellular network using cooperative diversity
Dong et al. Joint power and subchannel allocation in relay aided multi-cell OFDMA networks

Legal Events

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