KR102188783B1 - Apparatus and method for content caching using internet of things gateway - Google Patents

Abstract

A content caching apparatus using an Internet of things (IoT) gateway and a method thereof are disclosed. According to the present invention, a content caching method performed by an IoT gateway including cache memory may comprise the steps of: receiving uplink data from a plurality of IoT devices, respectively; determining a delay characteristic of each of the received uplink data; and transmitting the uplink data to a network based on the delay characteristic of the uplink data and a load of the network through which the uplink data is transmitted.

Description

Content caching device and method using IoT gateway {APPARATUS AND METHOD FOR CONTENT CACHING USING INTERNET OF THINGS GATEWAY}

The present invention relates to a technology for performing content caching using an IoT gateway in order to reduce data explosion caused by video streaming or IoT in a next-generation mobile communication system and wireless communication system.

The amount of traffic in wired and wireless networks is explosively increasing, mainly due to the increase in content-based services such as video streaming services. In wired networks, a technology for placing cached versions of content in various geographical locations is used to reduce the burden of downloading content through a core network, and it is developing in the form of installing a cache at the edge of a network close to a user.

In recent years, it is considered to install a cache even in a wireless network, and research on a wireless cache technology for installing a content cache in a base station or device to reduce the burden of a wireless section and a backhaul due to an increase in mobile traffic is being actively conducted.

Recently, wireless communication technologies using high-frequency carriers such as C-band and mmWave band have been developed, and technologies that enable high-speed data transmission by using a wide bandwidth have been developed, but high-frequency carriers have very small coverage and are mainly serviced only in small areas such as small cells. There is a drawback that it is possible.

Therefore, if a large number of small cells are not installed due to a high cost, sufficient data can be supplied in a small area near the small cell base station, but it may still be difficult to supply sufficient data in other areas. Also, if the backhaul of the optical cable is not connected to the small cell base station, the backhaul becomes a bottleneck, so no matter how large the wireless capacity is, it is not helpful.

In the future, high-frequency carriers such as mmWave will be additionally discovered and used for mobile communication and wireless communication, but these frequencies will be used less congested than low-frequency bands in many areas because of their small coverage. Therefore, if the high-frequency carrier is used for direct communication between terminals (Device-to-Device, hereinafter D2D), the effectiveness of the high-frequency band can be improved.

The problem of wireless bandwidth is being solved to some extent by using a higher carrier frequency, but if a sufficient number of base stations are not installed due to cost problems, or if a sufficient high-capacity backhaul is not supplied to all base stations, available radio resources are used. It can happen frequently that 100% is not utilized.

In order to solve the increase in mobile traffic in wireless networks with coverage and backhaul problems, a content cache is installed on the device and content is received and stored from the base station during off-peak hours when there is not much traffic, and then D2D communication during peak times of high traffic. A D2D cache technology that supplies content to a device by using may be used.

However, since general devices such as smartphones do not have enough free storage devices, it is difficult to store video content required by other users, and because it operates on a battery, there is a problem of power consumption, so the content is transferred to other devices using D2D communication. It is difficult to provide.

Not only the increase in downlink data such as video content, but also the increase in uplink data due to the explosion of the Internet of Things cannot be ignored. The IoT hub or IoT gateway may receive data from a large number of devices using D2D communication and then transmit it to the base station using cellular communication. However, during peak hours, there may be difficulties in delivering all IoT data to the network.

The present invention can provide an apparatus and method for determining whether to transmit corresponding uplink data in real time based on a delay characteristic of uplink data and a load of a network through which uplink data is transmitted.

In addition, the present invention receives downlink data during an off-peak time when the network load is less than a certain reference and stores it in the cache memory of the IoT gateway, and performs D2D communication during the peak time when the network load is greater than a certain reference. It is possible to provide an apparatus and method for transmitting to a user terminal through.

A content caching method performed by an Internet of Things (IoT) gateway including a cache memory according to an embodiment of the present invention includes receiving uplink data from a plurality of IoT devices, respectively; Determining a delay characteristic of each of the received uplink data; And transmitting the uplink data to the network based on a delay characteristic of the uplink data and a load of a network through which the uplink data is transmitted.

The determining of the delay characteristic may include determining the received uplink data as real-time data or non-real-time data based on a type of service provided by the plurality of IoT devices.

In the transmitting of the network, when the delay characteristic of the uplink data is determined as real-time data, the uplink data determined as real-time data may be transmitted to the network without delay, regardless of the load of the network.

In the case of transmitting to the network, when the delay characteristic of the uplink data is determined to be non-real-time data, (1) the non-real-time during off-peak time when the load of the network is less than a predetermined reference Uplink data determined as sex data is transmitted to the network, and (2) uplink data determined as non-real-time data is stored in the cache memory during a peak time when the network load is greater than the predetermined reference. And then transmitted to the network during off-peak time.

Receiving downlink data during an off-peak period when the network load is less than a predetermined reference and storing the downlink data in the cache memory; And downlink data corresponding to content requested from a user terminal located in the vicinity of downlink data stored in the cache memory during peak times when the load of the network is greater than a predetermined reference, direct communication between terminals (Device-to-Device, It may further include transmitting to the user terminal through D2D).

Transmitting to the user terminal may include removing downlink data corresponding to the content having the lowest preference during the peak time period.

A content caching method performed by an IoT gateway including a cache memory according to an embodiment of the present invention is to provide uplink data received from a plurality of IoT devices and content caching to a plurality of user terminals located nearby. Storing downlink data received through a network by sharing the cache memory; And processing uplink data and downlink data stored in the cache memory by interworking with other IoT gateways based on the number of user terminals present in the D2D area for direct communication (Device-to-Device, D2D) between terminals. It may include.

The storing may include determining the received uplink data as real-time data or non-real-time data based on a type of service provided by the plurality of IoT devices; And when the uplink data is determined to be non-real-time data, storing the up-link data determined as non-real-time data in the cache memory at a peak time when the load of the network is greater than a predetermined reference. It may include.

In the processing step, when the number of user terminals existing in the D2D area is less than a predetermined standard, uplink data corresponding to the non-real-time data from other IoT gateways in which the number of user terminals existing in the D2D area is greater than or equal to a predetermined standard are received. Receiving; Replacing uplink data received from the other IoT gateway with downlink data stored in the cache memory; And transmitting uplink data stored in the cache memory to the network during an off-peak time when the network load is less than a predetermined reference.

In the processing step, when the number of user terminals in the D2D area is more than a certain standard, uplink data corresponding to non-real-time data is transmitted to another IoT gateway in which the number of user terminals in the D2D area is less than a certain standard. Transmitting to secure a space of the cache memory; Additionally receiving downlink data through the network and storing it in a reserved space of the cache memory; And transmitting downlink data corresponding to the content requested from the user terminal existing in the D2D area to the user terminal through D2D communication during a peak time when the network load is greater than a predetermined reference.

In a content caching system performed by an IoT gateway according to an embodiment of the present invention, the IoT gateway includes a cache memory and a processor, and the processor receives uplink data from a plurality of IoT devices, respectively, and each of the A delay characteristic of the received uplink data may be determined, and the uplink data may be transmitted to the network based on the delay characteristic of the uplink data and a load of a network through which the uplink data is transmitted.

The processor may determine a delay characteristic of each of the received uplink data as real-time data or non-real-time data based on a type of service provided by the plurality of IoT devices.

When the delay characteristic of the uplink data is determined as real-time data, the processor may transmit the uplink data determined as real-time data to the network without delay, regardless of the load of the network.

When the delay characteristic of the uplink data is determined to be non-real-time data, (1) the processor determines the non-real-time data during an off-peak time when the load of the network is less than a predetermined reference. The uplink data is transmitted to the network, and (2) the uplink data determined as the non-real-time data is stored in the cache memory during a peak time when the load of the network is greater than the predetermined reference. It can be transmitted to the network during the off-peak time.

The processor receives downlink data in the cache memory during an off-peak time when the network load is less than a predetermined reference, and stores the downlink data in the cache memory during a peak time when the network load is greater than a predetermined reference. Among the link data, downlink data corresponding to content requested from a user terminal located in the vicinity may be transmitted to the user terminal through direct communication (Device-to-Device, D2D).

The processor may remove downlink data corresponding to the content having the lowest preference during the peak time period.

In a content caching system performed by an IoT gateway according to an embodiment of the present invention, the IoT gateway includes a cache memory and a processor, and the processor includes uplink data received from a plurality of IoT devices and surrounding In order to provide content caching to a plurality of user terminals, the downlink data received through the network is shared and stored, and exists in the D2D area for direct communication between terminals (Device-to-Device, D2D). The uplink data and downlink data stored in the cache memory may be processed by interworking with other IoT gateways based on the number of user terminals.

The processor determines the received uplink data as real-time data or non-real-time data based on the type of service provided by the plurality of IoT devices, and when it is determined that the uplink data is non-real-time data, Uplink data determined as the non-real-time data may be stored in the cache memory during a peak time when the network load is greater than a predetermined reference.

When the number of user terminals in the D2D area is less than a predetermined standard, the processor receives uplink data corresponding to non-real-time data from another IoT gateway in which the number of user terminals in the D2D area is greater than or equal to a predetermined standard, and , The uplink data received from the other IoT gateway is replaced with downlink data stored in the cache memory, and the uplink stored in the cache memory during an off-peak time when the network load is less than a predetermined reference Link data can be delivered to the network.

The processor transmits uplink data corresponding to non-real-time data to other IoT gateways in which the number of user terminals in the D2D area is less than a certain standard when the number of user terminals in the D2D area is more than a certain standard. Secures space of the cache memory, additionally receives downlink data through the network and stores it in the secured space of the cache memory, and exists in the D2D area during peak times when the load of the network is greater than a predetermined standard. Downlink data corresponding to the content requested from the user terminal may be transmitted to the user terminal through D2D communication.

The present invention may determine whether to transmit corresponding uplink data in real time based on a delay characteristic of uplink data and a load of a network through which uplink data is transmitted.

In addition, the present invention receives downlink data during off-peak times when the network load is less than a certain reference and stores it in the cache memory of the IoT gateway, and through D2D communication during the peak times when the network load is greater than a certain reference. Can be transmitted to the user terminal.

In addition, the present invention can reduce the load on the network by sharing the cache memory of the IoT gateway to store uplink data and downlink data.

1 is a diagram showing a content caching system for delivering content using an IoT gateway according to an embodiment of the present invention.
2 is a flowchart illustrating a method of processing uplink data by an IoT gateway according to an embodiment of the present invention.
3 is a flowchart illustrating a method of processing downlink data by an IoT gateway according to an embodiment of the present invention.
4 is a diagram illustrating a method of controlling a cache memory of an IoT gateway according to an embodiment of the present invention.
5 is a diagram illustrating an operation method between a plurality of IoT gateways to increase content caching efficiency in a content caching system according to an embodiment of the present invention.

Hereinafter, exemplary embodiments will be described in detail with reference to the accompanying drawings. However, since various changes may be made to the embodiments, the scope of the rights of the patent application is not limited or limited by these embodiments. It should be understood that all changes, equivalents, or substitutes to the embodiments are included in the scope of the rights.

The terms used in the examples are used for illustrative purposes only and should not be interpreted as limiting. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present specification, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiment belongs. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in this application. Does not.

In addition, in the description with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of the reference numerals, and redundant descriptions thereof will be omitted. In describing the embodiments, when it is determined that a detailed description of related known technologies may unnecessarily obscure the subject matter of the embodiments, the detailed description thereof will be omitted.

1 is a diagram showing a content caching system for delivering content using an IoT gateway according to an embodiment of the present invention.

Referring to FIG. 1, the content caching system 100 may include an IoT gateway 110, a plurality of IoT devices 120, a base station 130, and a user terminal 140. In this case, the IoT gateway 110 may include a cache memory 111 and a processor 112.

First, the processor 112 of the IoT gateway 110 may each receive uplink data from a plurality of IoT devices 120 located nearby. At this time, the received uplink data may be divided into real-time data that must be transmitted through the base station 130 of the network without delay and non-real-time data that can wait until the load of the network becomes smaller than a predetermined reference. In this case, the network may correspond to a cellular network.

Therefore, the processor 112 transmits only real-time data through the uplink during peak times when a load greater than a certain reference occurs on the base station 130 of the network, and can wait until the peak time ends. After the sex data is stored in the cache memory 111, the non-real-time data stored in an off-peak time period when the load of the base station 130 is less than a predetermined reference may be transmitted to the network.

For example, if surveillance cameras capable of shooting high-definition images, which are IoT devices, are installed at a high density, all high-definition images captured by all surveillance cameras are transferred to the network during peak times when the network load is greater than a certain standard. There may be difficulties in transmitting.

In this case, the processor 112 of the IoT gateway 110 transmits, in real time, a limited quality (low quality) image that is not high quality or a part of a high quality image of a specially required surveillance camera during peak times, and the remaining high quality images 111) and then can be transmitted sequentially during the off-peak time.

On the other hand, the content caching system 100 of the present invention stores the downlink content in the free storage space of the IoT gateway 110, and the user terminal 140 through D2D communication during peak times when the network load is greater than a predetermined standard. It is possible to provide a content caching technology that is transmitted to.

More specifically, since the cache memory 111 of the IoT gateway 110 has a large amount of free storage space before peak time, it is possible to fill the free storage space by receiving content with high preference through the base station 130. In addition, the processor 112 of the IoT gateway 110 may transmit the content requested from the user terminal 140 located nearby among the contents stored in the free storage space to the corresponding user terminal 140 through D2D communication.

As described above, the IoT gateway 110 of the present invention can reduce the load on the network by sharing the cache memory 111 to store uplink data and downlink data.

2 is a flowchart illustrating a method of processing uplink data by an IoT gateway according to an embodiment of the present invention.

Referring to FIG. 2, in step 210, the IoT gateway 110 may each receive uplink data from a plurality of IOT devices 120.

Then, in step 220, the IoT gateway 110 may determine a delay characteristic of each received uplink data. More specifically, the IoT gateway 110 provides real-time data to be transmitted through the base station 130 of the network without delay for the received uplink data, and non-real-time data that can wait until the load of the network becomes smaller than a predetermined standard. It can be divided into data.

In this case, the IoT gateway 110 may determine whether the received uplink data is real-time based on the type of service provided by the plurality of IoT devices 120. The amount of mobile traffic on a daily basis tends to be concentrated at certain times (usually in the evening), and this can be designated as peak hours. Since data is not easily transmitted during such peak times, non-real-time data can be stored and transmitted after the peak time is over. Therefore, the definition of non-real-time data is data that does not need to be used for the duration of peak traffic (usually several hours), and corresponds to data that can be used for storage (video for storage in surveillance cameras) or statistics. I can. However, even with such non-real-time data, if a part is urgently needed, it may be transmitted at peak times by request.

For example, if a service for detecting road hazards and managing traffic conditions is provided in real time, the server that wants to provide the corresponding service can detect various uplink data from various sensors installed on the road and automobile sensors in real time without delay. It can be important to receive and analyze. Therefore, such a service must transmit uplink data in real time.

Contrary to this, when big data analysis is required for a service that performs a certain purpose, statistical data required for this may not be a big problem even if a delay of several hours occurs. Accordingly, such a service can transmit uplink data in non-real time.

In step 230, the IoT gateway 110 may transmit the uplink data to the network based on the delay characteristic of the uplink data and the load of the network through which the uplink data is transmitted. More specifically, when the delay characteristic of the uplink data is determined as real-time data, the IoT gateway 110 may always transmit the uplink data determined as real-time data to the network without delay, regardless of the load of the network.

When the delay characteristic of the uplink data is determined to be non-real-time data, the IoT gateway 110 may process the uplink data through different methods according to the load of the network. First, the IoT gateway 110 may transmit uplink data determined as non-real-time data to the network without delay during an off-peak time when the network load is less than a predetermined reference.

In contrast, the IoT gateway 110 may store uplink data determined as non-real-time data in the cache memory 111 during peak times when the network load is greater than a certain reference, and then transmit them to the network during off-peak times. have.

3 is a flowchart illustrating a downlink data processing method of an IoT gateway according to an embodiment of the present invention.

Referring to FIG. 3, in step 310, the IoT gateway 110 has the largest free storage space of the cache memory 111 in the off-peak period when the network load is less than a certain reference, especially before the peak time. As such, content with high preference may be supplied and stored from the base station 130 during the corresponding time period.

In step 320, the IoT gateway 110 may receive a request for a specific content from a user terminal 140 located nearby during a peak time when the network load is greater than a predetermined reference.

In step 330, when the specific content requested from the user terminal 140 of the IoT gateway 110 is stored in the cache memory 111, the specific content may be transmitted to the user terminal 140 through D2D communication. .

4 is a diagram illustrating a method of controlling a carry memory of an IoT gateway according to an embodiment of the present invention.

The cache memory of the IoT gateway 110 just before the peak time from the off-peak time goes over, assuming that the peak time period when the mobile communication network is overloaded and the off-peak time period with sufficient data transmission occur alternately with a certain period. (111) will be almost empty.

Meanwhile, as the peak time begins and the network traffic load increases, non-real-time data accumulates in the cache memory 111, and the maximum amount of non-real-time data is stored just before the peak time ends and goes to the off-peak time. It will be saved. In practice, it may be difficult to accurately predict when the peak hours will end, so the IoT gateway 110 may have a cache memory 111 with sufficient capacity, and thus storage capacity may be free for most of the time even during peak hours. have.

As mentioned above, the IoT gateway 110 of the present invention may store downlink data in the free storage space of the cache memory 111 and support the user terminal 140 using D2D communication during peak times. At this time, before the peak time, the cache memory 111 of the IoT gateway 110 will have the most free storage space, so content with high preference from the base station 130 during the off-peak time period as shown in FIG. 4A Can be supplied and stored.

When the peak time starts, the traffic load is large, so the IoT gateway 110 cannot transmit all of the uplink data received from the plurality of IoT devices 120 to the network. As shown in b), it may be stored in the free storage space of the cache memory 111.

At this time, when the size of the uplink data received from the plurality of IoT devices 120 is larger than the free storage space of the cache memory 111, the IoT gateway 110 stores downlink data as shown in FIG. 4C. Among the data having the lowest preference, it is sequentially deleted and additional uplink data can be stored.

5 is a diagram illustrating a method of operating between a plurality of IoT gateways to increase content caching efficiency in a content caching system according to an embodiment of the present invention.

Since the IoT gateway 110 may be installed in a location where communication is relatively good, there is a possibility that D2D communication can be performed with each other. The storage capacity of the cache memory 111 may be different for each IoT gateway 110, and the number of user terminals 140 in the D2D coverage and the D2D coverage may be different.

As shown in (a) of FIG. 5, if there is a user terminal 140 above a certain standard in the D2D coverage of a specific IoT gateway (A) compared to other IoT gateways (B), a specific IoT gateway (A) is It is possible to increase the probability of offloading to the user terminal 140 by storing downlink data corresponding to the contents of the cache memory 111.

Therefore, the specific IoT gateway (A) transfers some of the uplink data corresponding to the non-real-time data received from the IoT devices 120 to another IoT gateway (B) in order to secure a free storage space of the cache memory 111 Can be moved to.

Then, the specific IoT gateway (A) increases the probability of offloading to the neighboring user terminals 140 by receiving and storing content for caching content in the free storage space of the cache memory 111 secured by the movement of uplink data. I can make it.

On the contrary, as shown in (b) of FIG. 5, if there is a user terminal 140 less than a certain standard within the D2D coverage of a specific IoT gateway (A) compared to other IoT gateways (B), a specific IoT gateway (A) is It is possible to receive and store uplink data corresponding to the non-real-time data from another IoT gateway (B). Through this, the other IoT gateway B may increase the probability of offloading to the user terminal 140 by storing more content for content caching in the spare storage space.

In summary, if two 　IoT gateways exist in adjacent locations, it is necessary to keep the downlink data as much as possible in the IoT gateway (who supplies more downlink data if the cache is the same size) with relatively high cache effectiveness. And, it is possible to improve content caching efficiency in the content caching system by transmitting uplink data corresponding to the non-real-time data to another IoT gateway.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those produced by a compiler but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to behave as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

As described above, although the embodiments have been described by the limited drawings, a person of ordinary skill in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments and claims and equivalents fall within the scope of the following claims.

100: content caching system
110: IoT gateway
111: cache memory
112: processor
120: multiple IoT devices
130: base station
140: user terminal

Claims (20)

In the content caching method performed by an Internet of Things (IoT) gateway including a cache memory,
Storing downlink data received through a network in the cache memory to provide content caching to a plurality of user terminals located around the IoT gateway;
Identifying a delay characteristic of uplink data received from a plurality of IoT devices connected to the IoT gateway and a load of a network through which the uplink data is transmitted; And
When the load of the network is greater than a predetermined reference and the received uplink data is determined to be non-real-time data based on the delay characteristic, the downlink data is stored in the uplink data determined as the non-real-time data. Storing the remaining cache memory in an idle area
Including,
Storing in the idle area of the cache memory,
When the size of the uplink data stored in the idle area exceeds the size of the idle area, some downlink data stored in the cache memory is deleted, and additional uplink data is stored in the deleted area. The method of claim 1,
Storing in the idle area of the cache memory,
When the size of uplink data stored in the idle area exceeds the size of the idle area, data having a lower preference among downlink data stored in the cache memory is sequentially deleted. The method of claim 1,
When the received uplink data is determined to be real-time data based on the delay characteristic, transmitting uplink data determined as real-time data to the network without delay regardless of the load of the network
Content caching method further comprising a. The method of claim 1,
Transmitting uplink data determined as the non-real-time data to the network without delay in case the network load is less than the predetermined criterion
Content caching method further comprising a. The method of claim 1,
In the case of uplink data stored in the cache memory because the network load is determined to be non-real-time data during a peak time period greater than the predetermined reference, the network load is less than the predetermined standard off-peak time period. Transmitting to the network at
Content caching method further comprising a. The method of claim 1,
During peak times when the network load is greater than a certain reference, the downlink data corresponding to the content requested from the user terminal located in the vicinity of the downlink data stored in the cache memory is directly communicated between terminals (Device-to-Device, D2D Transmitting to the user terminal through)
Content caching method further comprising a. In the content caching method performed by an Internet of Things (IoT) gateway including a cache memory,
Storing downlink data received through a network in the cache memory to provide content caching to a plurality of user terminals located around the IoT gateway;
Uplink data determined as non-real-time data based on a delay characteristic of uplink data received from a plurality of IoT devices connected to the IoT gateway is stored in an idle area of the cache memory remaining after the downlink data is stored. step; And
Processing uplink data and downlink data stored in the cache memory by interworking with other IoT gateways based on the number of user terminals existing in the D2D area for direct communication between terminals (Device-to-Device, D2D)
Content caching method comprising a. The method of claim 7,
Storing in the idle area of the cache memory,
Determining the received uplink data as real-time data or non-real-time data based on a delay characteristic of the uplink data according to a type of service provided by the plurality of IoT devices; And
When the uplink data is determined to be non-real-time data, the uplink data determined as the non-real-time data is stored in an idle area of the cache memory during a peak time when the network load is greater than a predetermined reference Steps to
Content caching method comprising a. The method of claim 7,
The processing step,
Receiving uplink data corresponding to the non-real-time data from another IoT gateway in which the number of user terminals existing in the D2D area is less than a predetermined reference when the number of user terminals in the D2D area is less than a predetermined reference;
Replacing uplink data received from the other IoT gateway with downlink data stored in the cache memory; And
Delivering uplink data stored in the cache memory to the network during an off-peak time when the network load is less than a predetermined reference
Content caching method comprising a. The method of claim 7,
The processing step,
When the number of user terminals in the D2D area is more than a certain standard, the cache by transmitting uplink data corresponding to the non-real-time data to another IoT gateway where the number of user terminals in the D2D area is less than a certain standard. Securing a memory space;
Additionally receiving downlink data through the network and storing it in a reserved space of the cache memory; And
Transmitting downlink data corresponding to the content requested from the user terminal in the D2D area to the user terminal through D2D communication during a peak time when the network load is greater than a predetermined reference
Content caching method comprising a. In a content caching system performed by an Internet of Things (IoT) gateway,
The IoT gateway includes a cache memory and a processor,
The processor,
To provide content caching to a plurality of user terminals located around the IoT gateway, downlink data received through a network is stored in the cache memory,
Identify a delay characteristic of uplink data received from a plurality of IoT devices connected to the IoT gateway and a load of a network through which the uplink data is transmitted,
When the load of the network is greater than a predetermined reference and the received uplink data is determined to be non-real-time data based on the delay characteristic, the downlink data is stored in the uplink data determined as the non-real-time data. Stored in the remaining idle area of the cache memory,
When the size of the uplink data stored in the idle area exceeds the size of the idle area, some downlink data stored in the cache memory is deleted, and additional uplink data is stored in the deleted area. The method of claim 11,
The processor,
When the size of the uplink data stored in the idle area exceeds the size of the idle area, data having a lower preference among downlink data stored in the cache memory is sequentially deleted. The method of claim 11,
The processor,
When the received uplink data is determined to be real-time data based on the delay characteristic, the content caching system transmits the uplink data determined as real-time data to the network without delay regardless of the load of the network. The method of claim 11,
The processor,
Content caching system for transmitting uplink data determined as the non-real-time data to the network without delay in the case of an off-peak time zone where the network load is less than the predetermined reference. The method of claim 11,
The processor,
In the case of uplink data stored in the cache memory because the network load is determined to be non-real-time data during a peak time period greater than the predetermined reference, the network load is less than the predetermined standard off-peak time period. In the content caching system to transmit to the network. The method of claim 11,
The processor,
During peak times when the network load is greater than a certain reference, the downlink data corresponding to the content requested from the user terminal located in the vicinity of the downlink data stored in the cache memory is directly communicated between terminals (Device-to-Device, D2D ) Through a content caching system that transmits to the user terminal. In a content caching system performed by an Internet of Things (IoT) gateway,
The IoT gateway includes a cache memory and a processor,
The processor,
To provide content caching to a plurality of user terminals located around the IoT gateway, downlink data received through a network is stored in the cache memory,
Uplink data determined as non-real-time data based on a delay characteristic of uplink data received from a plurality of IoT devices connected to the IoT gateway is stored in the idle area of the cache memory remaining after the downlink data is stored, and ,
Content caching that processes uplink data and downlink data stored in the cache memory by interworking with other IoT gateways based on the number of user terminals in the D2D area for direct communication between terminals (Device-to-Device, D2D) system. The method of claim 17,
The processor,
Determining the received uplink data as real-time data or non-real-time data based on a delay characteristic of the uplink data according to the type of service provided by the plurality of IoT devices,
When the uplink data is determined to be non-real-time data, the uplink data determined as the non-real-time data is stored in an idle area of the cache memory during a peak time when the network load is greater than a predetermined reference Content caching system. The method of claim 17,
The processor,
When the number of user terminals existing in the D2D area is less than a predetermined standard, uplink data corresponding to the non-real-time data is received from another IoT gateway in which the number of user terminals existing in the D2D area is greater than or equal to a predetermined standard,
Replacing uplink data received from the other IoT gateway with downlink data stored in the cache memory,
A content caching system that delivers uplink data stored in the cache memory to the network during an off-peak time when the network load is less than a predetermined reference. The method of claim 17,
The processor,
When the number of user terminals in the D2D area is more than a certain standard, the cache by transmitting uplink data corresponding to the non-real-time data to another IoT gateway where the number of user terminals in the D2D area is less than a certain standard. Free up space in memory,
Additional downlink data is additionally received through the network and stored in a reserved space of the cache memory,
A content caching system for transmitting downlink data corresponding to the content requested from the user terminal existing in the D2D area to the user terminal through D2D communication during a peak time when the network load is greater than a predetermined reference.

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