KR101794676B1 - Method for improving of data harvest rate through the prediction residual energy and sensor node in energy harvest wireless sensor network, recording medium for performing the method - Google Patents

Abstract

According to the present invention, disclosed are a sensor node in an energy harvest wireless sensor network, a method for improving an energy harvest rate through residual energy prediction, and a recording medium for performing the same. The method for improving an energy harvest rate through residual energy prediction in an energy harvest wireless sensor network according to an aspect of the present invention includes the steps of: enabling the sensor node to predict a residual energy amount of a next cycle at a start point of a predetermined cycle; enabling the sensor node to select any one operation mode of a transmission mode, a power saving mode, and a general mode according to the predicted residual energy amount; and enabling the sensor node to perform an operation based on the selected operation mode. Accordingly, the present invention can improve the data harvest rate of a sink node by using efficiently energy.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a sensor node in an energy-collecting wireless sensor network, a method for improving data collection rate by predicting residual energy, and a recording medium for performing the method. , RECORDING MEDIUM FOR PERFORMING THE METHOD}

The present invention relates to a sensor node in an energy-collecting wireless sensor network, a method for improving data collection rate by predicting residual energy, and a recording medium for performing the same. More particularly, A method for improving data collection rate by predicting residual energy, sensor nodes in an energy collecting wireless sensor network that reduces the transmission energy consumption when data is transferred using data merge techniques, and a recording medium for performing the same will be.

Wireless sensor networks are used in a wide range of applications, from military to medical, disaster detection, ecosystem sensing, and other applications. These sensor networks are characterized by limited battery capacity due to limited hardware characteristics. Many researches have been carried out to overcome this limited battery capacity, and various studies have been conducted in order to overcome the battery limit of the sensor node. Among them, energy-collecting sensor nodes capable of continuously charging energy are attracting attention. Energy collection In wireless sensor networks, energy-harvesting sensor nodes collect energy on a continuous and periodic basis with resources such as sun, vibration, wind, piezoelectric, and heat. However, in the case of these energy-harvesting sensor nodes, without careful energy usage planning, the collected energy may exceed the battery capacity and overcharge or overfill may result in a power outage. Meanwhile, as the energy consumption for data communication in the wireless sensor network accounts for more than half of the total energy, data merging is applied as one method for reducing the energy consumed in the data communication. In the case of data merge, it is possible to reduce the data communication frequency by reducing the number of data transmission and the size of the transmission packet (data). However, in order to perform this efficiently, it is necessary to select a routing protocol and a data merge method that are designed to reflect the limited energy resource and processing capacity and characteristics of the sensor node. However, the characteristics of the sensor node are not reflected in the method for reducing the energy consumed in the current energy collecting wireless sensor network. Therefore, it is necessary to study the method that reflects the characteristics of sensor nodes.

Korean Registered Patent No. 10-1104430 (2012.01.12 Announcement)

The present invention has been proposed in order to solve the above problems. It is an object of the present invention to determine a transmission time point of a data through a residual energy amount of a next cycle predicted by a sensor node, A method of improving data collection rate by predicting residual energy, and a recording medium for performing the method.

Other objects and advantages of the present invention can be understood by the following description, and will be more clearly understood by one embodiment of the present invention. It will also be readily apparent that the objects and advantages of the invention may be realized and attained by means of the instrumentalities and combinations particularly pointed out in the appended claims.

According to an aspect of the present invention, there is provided a method of improving data collection rate by predicting remaining energy in an energy-collecting wireless sensor network, the method comprising: Predicting the amount of the compound; The sensor node selecting one of an operation mode, a power saving mode and a general mode according to the predicted remaining energy amount; And the sensor node performing an operation based on the selected operation mode.

In the step of selecting the operation mode, when the predicted remaining energy amount exceeds the battery capacity, the sensor node selects the transmission mode, and in the performing the operation, the sensor node can transmit the merged data to neighboring neighboring nodes .

In the step of selecting an operation mode, when the predicted remaining energy amount is less than the minimum operation energy amount, the sensor node selects a power saving mode, and in the performing operation, data collected so far is transmitted to neighboring nodes , And only data can be collected through sensing.

In the step of selecting an operation mode, the sensor node selects a normal mode when the predicted remaining energy amount exceeds a minimum operation energy amount and is less than a battery capacity, and in the performing operation, data is transmitted to neighboring nodes The merging of the received data can be performed.

The sensor node may transmit data collected to the neighboring nodes without consideration of the battery remaining amount in the next cycle if the storage space is insufficient during the mode operation of selecting one of the normal mode, the transmission mode and the power saving mode .

According to another aspect of the present invention, there is provided a computer-readable recording medium storing a computer program for performing a method of improving a data collection rate by predicting remaining energy.

According to another aspect of the present invention, there is provided a sensor node comprising: a remaining energy amount predicting unit for predicting a remaining energy amount of a next cycle at a start point of a predetermined period; An operation mode selection unit for selecting one of an operation mode, a power saving mode and a general mode according to the predicted remaining energy amount; And an operation performing unit operable to perform an operation based on the selected operation mode.

The operation mode selection unit may select the transmission mode when the predicted remaining energy amount exceeds the battery capacity, and the operation performing unit may transmit the merged data to neighboring neighboring nodes.

Wherein the operation mode selection unit selects a power save mode when the predicted remaining energy amount is less than the minimum operation energy amount and the operation performing unit transmits data collected to the present to the neighboring nodes and only collects data through sensing can do.

Wherein the operation mode selection unit selects the normal mode when the predicted remaining energy amount exceeds the minimum operation energy amount and is less than the battery capacity and the operation performing unit selects the normal mode as the merging of the received data without transmitting the data to the neighboring nodes, Can only be performed.

If the storage space is insufficient, the operation performing unit may transmit the collected data to the neighboring nodes without considering the battery remaining amount in the next cycle, during the mode operation of selecting one of the normal mode, the transmission mode and the power saving mode have.

According to an aspect of the present invention, a data transmission time point is determined based on a remaining energy amount of a next cycle predicted by a sensor node, and a data merging technique is used to increase data collection amount of a sink node by using energy efficiently There is an effect.

The effects obtained in the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the following description .

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments of the invention and, together with the specific details for carrying out the invention, And shall not be construed as limited to the matters described.
FIG. 1 schematically illustrates the configuration of a sensor node in an energy-collecting wireless sensor network according to an embodiment of the present invention. FIG.
2 schematically illustrates the operation of a sensor node according to an embodiment of the present invention,
3 is a flowchart illustrating a method of improving the data collection rate according to an exemplary embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other objects, features and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings, in which: There will be. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. Hereinafter, a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

Throughout the specification, when an element is referred to as " comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise. In addition, the term "Quot; and " part " refer to a unit that processes at least one function or operation, which may be implemented in hardware, software, or a combination of hardware and software.

FIG. 1 is a view schematically showing a configuration of a sensor node in an energy-collecting wireless sensor network according to an embodiment of the present invention.

The sensor node 100 constitutes a wireless sensor network. The sensor node 100 may be an energy collection sensor node that collects energy. The sensor node 100 can collect energy from the surrounding environment. For example, the sensor node 100 may include a solar panel and may collect energy using solar light. In addition, the sensor node 100 may be randomly placed in a large number of randomly ranging from tens to thousands.

The sensor node 100 may sense data through one or more sensors, transmit sensed data to another node, or transmit data received from another node to another node. In this case, the sensor node 100 that transmits the data sensed by the sensor node 100 to the sensing node 100 is referred to as a sensing node, the sensor node 100 that transmits data received from the neighboring node to another neighboring node is referred to as a relay node (relay node) The node to which the data finally arrives can be referred to as a sink node. The sink node can collect data sent by neighbor nodes (relay nodes), process the data, and send the data to the server node.

Meanwhile, in this embodiment, the energy collection node (sensor node) basically performs data sensing, receives data from neighboring nodes, and merges and transmits them.

Referring to FIG. 1, the sensor node 100 according to the present embodiment includes a residual energy amount predicting unit 110, an operation mode selecting unit 130, and an operation performing unit 150.

The remaining energy amount predicting unit 110 can predict the remaining energy amount of the next cycle of the sensor node. The remaining energy amount predicting unit 110 can predict the amount of remaining energy of the sensor node in the next period at the start point of a predetermined period. In this case, the predetermined period may mean one cycle in which the sensor node collects data from the periphery and then transmits the data. For example, the remaining energy amount predicting unit 110 can predict the energy amount state of the sensor node 100 through prediction of the amount of energy consumed and the amount of energy to be collected at the sensor node 100.

The operation mode selection unit 130 can select the operation mode according to the predicted remaining energy amount. In other words, the operation mode selection unit 130 can select the operation mode according to the state of the remaining amount of energy predicted at the start point of the fixed period. At this time, the predetermined period may mean one period in which the sensor node 100 collects data from the surroundings and then transmits the data. For example, the operation mode selection unit 130 can select the operation mode of the sensor node 100 based on the amount of residual energy predicted at the beginning of a predetermined period. At this time, the operation mode may include a normal mode, a transmission mode, and a sleep mode. The operation mode selection unit 130 can select one of a transmission mode, a power saving mode, and a general mode according to the predicted remaining energy amount.

The normal mode may be selected when it is determined that the predicted residual energy amount of the sensor node 100 is not sufficient to transmit data. For example, the operation mode selection unit 130 may select the normal mode when the predicted remaining energy amount of the sensor node 100 is less than the battery capacity of the sensor node 100 and exceeds the minimum operation energy amount. At this time, the sensor node 100 may merely merge data received from neighboring nodes to reduce energy consumption. In other words, in the normal mode, the sensor node 100 can perform the merging operation of the received data without transmitting the data to the neighboring nodes.

The transmission mode can be selected when it is determined that the amount of energy remaining to be predicted by the sensor node 100 will exceed the battery capacity due to the collected energy. For example, the operation mode selection unit 130 can select a transmission mode when the predicted remaining energy amount of the sensor node 100 exceeds the battery capacity of the sensor node 100. At this time, the sensor node 100 can transmit the merged data to the neighboring nodes using the excess energy.

In the energy saving mode, if battery depletion of the sensor node 100 is anticipated, data collected until now can be transmitted to neighboring nodes, and then the radio can be turned off and the power saving mode can be selected. For example, the operation mode selection unit 130 can select the power saving mode when the predicted remaining energy amount of the sensor node 100 is less than the minimum operation energy amount of the sensor node 100. [ At this time, when the sensor node 100 is in the power saving mode, it does not transmit / receive data with the neighboring nodes in the current period, and accordingly, the sensor node 100 can be automatically excluded from the routing by not receiving the routing packet. However, even when the sensor node 100 is in the power save mode, data sensing can continue. That is, when the sensor node 100 is in the power saving mode, it can only collect data through sensing.

The operation performing unit 150 may perform an operation of the sensor node 100 based on the selected operation mode. That is, the operation performing unit 150 may perform operations of data merge, data transfer, and data transfer based on the selected operation mode. For example, when the transmission mode is selected, the operation performing unit 150 may transmit the merged data to neighboring neighboring nodes. When the power save mode is selected, the operation performing unit 150 may perform only data collection through sensing. When the normal mode is selected, the operation performing unit 150 can perform merging of the received data without transmitting the data to the neighboring nodes.

An example in which the sensor node 100 selects the operation mode based on the predicted remaining energy amount will be described below.

이 아래의 수학식 1을 만족하면, 충전되는 에너지량이 배터리 용량을 초과할 수 있기 때문에 센서 노드(100)는 동작 모드로 전송 모드를 선택할 수 있다.At this time, in the description of this embodiment, it is assumed that the sensor node 100 is basically operated in the normal mode. In addition, the amount of remaining energy can be predicted differently depending on the operation mode of the current sensor node 100. [ At this time, when the current time is t, the remaining energy amount predicted after the p-th time of the sensor node 100 performing the merge of the received data without operating the normal mode and transmitting data to the neighboring nodes

If the following Equation 1 is satisfied, the sensor node 100 can select the transmission mode in the operation mode because the amount of energy to be charged may exceed the battery capacity.

[Equation 1]

Here, C may be the battery capacity of the sensor node 100.

이 최소 동작 에너지량보다 작을 경우, 에너지 부족으로 인하여 정전 상태가 될 수 있기 때문에, 센서 노드(100)는 지금까지 모은 데이터를 전송하고 절전 모드를 선택할 수 있다. 즉, 센서 노드(100)는 아래의 수학식 2를 만족하면, 절전 모드를 선택할 수 있다.On the other hand, the sensor node 100, which operates when the transmission mode is selected in the current operation mode,

Is less than the minimum operation energy amount, the sensor node 100 can transmit the collected data so far and select the power save mode because the energy can be lost due to energy shortage. That is, if the sensor node 100 satisfies the following equation (2), the power saving mode can be selected.

&Quot; (2) "

Here, E _min may ryangil minimum operating energy of the sensor node 100.

After the data transmission, the sensor node 100 switched to the power save mode may turn off the radio and not transmit or receive data. As a result, it can be excluded from routing by not responding to the routing message of the sink node at the next routing, so it can act like an electrostatic node. Thereafter, when the sensor node 100 in the power saving mode satisfies Equation (3), it can switch back to the normal mode and receive the message.

&Quot; (3) "

은 아래의 수학식 4를 기초로 산출될 수 있다.On the other hand, in the above Equations 2 and 3, the next cycle predicted residual energy amount of the sensor node 100 operating in the current transmission mode

Can be calculated based on the following equation (4).

&Quot; (4) "

는 시각 t일 대의 잔존 에너지량을 의미할 수 있다. 또한,

는 t 시간부터 p 동안의 예상 데이터 수신 에너지량,

는 예상 데이터 송신 에너지량,

는 데이터 송수신을 제외한 예상 소모 에너지량을 나타내고,

는 예상 수집 에너지량을 의미할 수 있다.

는 센서 노드(100)에서 측정할 수 있고,

와

은 센서 노드(100)의 스펙에 의해 정해질 수 있다. 한편,

는 수집에너지 예측 기법을 통해 예측할 수 있다. 수집에너지 예측 기법은 공지된 다양한 방식의 기법이 사용될 수 있으며, 그 중의 하나로 Pro-Energy기법이 사용될 수 있다. Pro-Energy기법은 논문(A. Cammarano, C. Petrioli, D. Spenza, “Pro-Energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks,” IEEE 9th International Conference on In Mobile Adhoc and Sensor Systems(MASS), pp. 75-83, Oct. 2012.)에 상세히 기재되어 있으므로 상세한 설명은 생략하기로 한다. 또한, 수집에너지 예측 기법은 Pro-Energy기법 이외에 타임슬롯 기반의 에너지 할당 기법을 이용한 수집 에너지 예측 기법, 지수적으로 증가되는 이동 평균 필터를 사용한 수집 에너지 예측 기법 및 수집되는 에너지를 측정하고 측정 값을 기초로 하여 수집에너지를 예측하는 기법 등이 있을 수 있다.here,

Can mean the amount of energy remaining at time t. Also,

Is the expected amount of received energy for p from time t to time p,

Is the expected amount of transmitted data energy,

Represents the estimated amount of consumed energy excluding data transmission / reception,

May mean the expected amount of collected energy.

Can be measured at the sensor node 100,

Wow

Can be determined by the specification of the sensor node 100. [ Meanwhile,

Can be predicted through the collection energy prediction technique. As a method of estimating the collected energy, various well-known techniques can be used, and one of them can be a Pro-Energy technique. The Pro-Energy technique is described in a paper (A. Cammarano, C. Petrioli, D. Spenza, "Pro-Energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks," IEEE 9th International Conference on In- Sensor Systems (MASS), pp. 75-83, Oct. 2012), detailed description thereof will be omitted. In addition to the Pro-Energy technique, the energy estimation technique uses a time-slot-based energy allocation technique, a predicted energy acquisition method using exponentially increasing moving average filters, And a technique for predicting the collected energy as a basis.

은 아래의 수학식 5에 의해 산출될 수 있다.On the other hand, the above-

Can be calculated by the following equation (5).

&Quot; (5) "

과 다른 노드로부터 전달받은 데이터량

으로 다시 나타내면 아래의 수학식 6으로 표현할 수 있다.Where S is the data size, β is the amount of transmitted energy per bit, d is the transmission distance, and α is the path loss. When the sensor node 100 transmits data to the neighboring node, the data collected by itself and the data received from another node are merged and transmitted. Therefore, the above-described Equation (5)

And the amount of data received from another node

, It can be expressed by the following equation (6).

&Quot; (6) "

는 0이 될 것이며, 이를 식으로 표현하면 아래의 수학식 7과 같을 수 있다.On the other hand, in Equation (4), if data transmission is not performed (sensor node operating in the normal mode)

0 ", which can be expressed by Equation (7) below. &Quot; (7) "

&Quot; (7) "

와

는 모두 0이 될 수 있으며, 이를 식으로 표현하면 아래의 수학식 8과 같을 수 있다.Equation (7) can represent the remaining energy amount predicted after p time of the sensor node 100 operating in the normal mode. On the other hand, since the sensor node 100 operating in the power saving mode due to energy shortage does not transmit or receive data,

Wow

Can be 0, which can be expressed by Equation (8) below.

&Quot; (8) "

The sensor node 100 according to the present embodiment estimates the amount of remaining energy according to the current operation state by using Equations 4, 7 and 8 described above for each operation mode, It is possible to determine the time of data transmission of the mobile terminal itself.

2 is a diagram schematically illustrating the operation of a sensor node according to an embodiment of the present invention.

In describing the present embodiment, the period for collecting data and estimating the amount of energy and determining the operation mode of the node is expressed in one round. In this embodiment, the operation process of the sensor node 100 for two rounds is described.

Referring to FIG. 2, the sensor node 100 may transmit data after collecting data from the periphery at regular intervals. At this time, the sensor node 100 can determine the operation mode by predicting the energy amount of the next cycle. The sensor node 100 can select an operation mode based on the amount of residual energy predicted at a start time of a predetermined period. For example, when the condition that the remaining energy amount predicted at the beginning of the first round exceeds the battery capacity of the sensor node 100 is satisfied, the sensor node 100 selects the transmission mode in the operation mode, (Merged data) can be transmitted. Meanwhile, while the above-described transmission mode is selected and operated, the sensor node 100 can turn on the radio and transmit / receive data.

Thereafter, when one round ends and the start point of the next round is reached, the operation mode can be selected based on the predicted residual energy amount. For example, at this time, if the condition that the predicted residual energy amount is less than the minimum operation energy amount of the sensor node 100 is satisfied, the sensor node 100 can select the power saving mode in the operation mode, have. Meanwhile, while the power saving mode is selected and operated, the sensor node 100 may turn off the radio (Radio Off) and not transmit / receive data with neighboring nodes. At this time, the sensor node 100 can be automatically excluded from the routing by not receiving the routing packet. On the other hand, even if the sensor node 100 is in the power save mode, data sensing continues.

However, regardless of the mode in which the sensor node 100 operates, if a storage space (a space for storing received data) is insufficient, data can be transmitted to neighboring nodes regardless of the battery remaining amount in the next cycle . For example, if there is insufficient storage space during a mode operation of selecting one of a normal mode, a transmission mode, and a power saving mode, the sensor node 100 transmits data collected to neighboring nodes Can be transmitted. In other words, when the storage space is left below the arbitrarily set space, the sensor node 100 determines that the space for storing the data is insufficient and transmits the collected data to the neighboring nodes without considering the battery remaining amount in the next cycle . In addition, when the currently selected operation mode is the power save mode, the sensor node 100 can discard data to be sensed after the capacity of the storage space is exceeded during data sensing.

Hereinafter, a method for improving the data collection rate in the sensor node 100 according to the present embodiment will be described.

3 is a flowchart illustrating a method of improving the data collection rate according to an exemplary embodiment of the present invention.

In the description of the present embodiment, it is assumed that the sensor node 100 is basically operating in a normal mode.

Referring to FIG. 3, the sensor node 100 may estimate the amount of energy remaining in the next cycle at a start time of a predetermined period (310). At this time, the predetermined period may mean one period in which the sensor node 100 collects data from the surroundings and then transmits the data. For example, the sensor node 100 can predict the state of energy of the sensor node 100 through prediction of the amount of energy consumed and the amount of energy that is collected.

The sensor node 100 may select an operation mode according to the predicted remaining energy amount (330). In other words, the sensor node 100 can select the operation mode according to the state of the remaining amount of energy predicted at the starting point of a predetermined period. For example, the sensor node 100 can select the operation mode of the sensor node 100 based on the amount of residual energy predicted at the start time of a predetermined period. At this time, the operation mode may include a normal mode, a transmission mode, and a sleep mode.

The sensor node 100 may perform an operation based on the selected mode of operation (350). For example, when the transmission mode is selected, the sensor node 100 may transmit the merged data to neighboring neighboring nodes. When the power saving mode is selected, the sensor node 100 can only collect data through sensing. When the normal mode is selected, the sensor node 100 can perform merging of the received data without transmitting the data to the neighboring nodes.

According to the above description, it is possible to increase the data collection amount of the sink node by efficiently using the energy by determining the transmission time point of the data through the prediction of the remaining energy amount of the sensor node 100 and using the data merge technique .

The methods according to embodiments of the present invention may be implemented in an application or implemented in the form of program instructions that may be executed through various computer components and recorded on a computer readable recording medium. The computer-readable recording medium may include program commands, data files, data structures, and the like, alone or in combination. The program instructions recorded on the computer-readable recording medium may be ones that are specially designed and configured for the present invention and are known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules for performing the processing according to the present invention, and vice versa.

While the specification contains many features, such features should not be construed as limiting the scope of the invention or the scope of the claims. In addition, the features described in the individual embodiments herein may be combined and implemented in a single embodiment. On the contrary, the various features described in the singular embodiments may be individually implemented in various embodiments or properly combined.

Although the operations are described in a particular order in the figures, it should be understood that such operations are performed in a particular order as shown, or that all described operations are performed in a series of sequential orders, or to obtain the desired result. In certain circumstances, multitasking and parallel processing may be advantageous. It should also be understood that the division of various system components in the above embodiments does not require such distinction in all embodiments. The above-described application components and systems can generally be packaged into a single software product or multiple software products.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. The present invention is not limited to the drawings.

100: sensor node
110: residual energy amount predicting unit
130: Operation mode selection unit
150:

Claims (11)

A method for improving data collection rate by predicting remaining energy in an energy-collecting wireless sensor network,
Estimating a remaining amount of energy of a next cycle at a start point of a predetermined period of a sensor node;
The sensor node selecting one of an operation mode, a power saving mode and a general mode according to the predicted remaining energy amount; And
The sensor node performing an operation based on the selected operation mode,
The sensor node comprises:
Selecting the normal mode when the estimated remaining energy amount exceeds the minimum operating energy amount and is less than the battery capacity,
Wherein the step of performing the operation further comprises predicting a remaining energy without merging the received data without transmitting the data to the neighboring nodes when the selected operation mode is the normal mode. The method according to claim 1,
In the step of selecting the operation mode,
When the predicted remaining energy amount exceeds the battery capacity,
The sensor node selects a transmission mode,
In performing the operation,
A method of improving data collection rate by predicting remaining energy transferring merged data to neighboring neighboring nodes. The method according to claim 1,
In the step of selecting the operation mode,
If the predicted remaining energy amount is less than the minimum operating energy amount,
The sensor node selects a power save mode,
In performing the operation,
A method for improving data collection rate by predicting residual energy by transmitting collected data to neighboring nodes and collecting data only through sensing. delete The method according to claim 1,
If the storage space is insufficient, the sensor node may transmit the collected data to the neighboring nodes without considering the battery remaining amount in the next cycle, during the mode operation of selecting one of the normal mode, the transmission mode and the power saving mode. How to improve data collection rate through energy prediction. A computer-readable recording medium having recorded thereon a computer program for performing a method of improving a data collection rate by predicting residual energy according to any one of claims 1 to 3. A remaining energy amount predicting unit for predicting a remaining energy amount of a next cycle at a start point of a predetermined cycle;
An operation mode selection unit for selecting one of an operation mode, a power saving mode and a general mode according to the predicted remaining energy amount; And
And an operation performing unit for performing an operation based on the selected operation mode,
Wherein the operation mode selection unit
Selecting a normal mode when the predicted remaining energy amount exceeds a minimum operating energy amount and is less than a battery capacity,
Wherein the operation performing unit comprises:
The sensor node performs the merging of the received data without transmitting data to the neighboring nodes when the selected operation mode is the normal mode. 8. The method of claim 7,
Wherein the operation mode selection unit
Selecting a transmission mode when the predicted remaining energy amount exceeds a battery capacity,
Wherein the operation performing unit comprises:
A sensor node that transmits merged data to neighboring neighbor nodes. 8. The method of claim 7,
Wherein the operation mode selection unit
A power saving mode is selected when the predicted remaining energy amount is less than a minimum operation energy amount,
Wherein the operation performing unit comprises:
A sensor node that transmits collected data to neighbor nodes and performs only data collection through sensing. delete 8. The method of claim 7,
If the storage space is insufficient, the operation performing unit may transmit the collected data to the neighboring nodes without considering the battery remaining amount in the next cycle, while performing any one of the mode operation selected from the normal mode, the transmission mode and the power saving mode Sensor node.

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