KR100732038B1 - Method with p-persistent for saving a battery power of wireless mobile communications nodes - Google Patents

Abstract

The present invention relates to a power saving method of a wireless mobile communication node that enables efficient use of battery energy, a limited resource in a wireless mobile communication device. The first determination step of determining whether there is data to be received from information of a received ATIM frame. And, if there is no data to be received as a result of the determination of the first determination step, the node enters into a dormant state; It has a configuration including a dormancy determination step of determining whether or not to sleep the node according to the sleep probability, the data throughput and energy efficiency is superior to the conventional method of determining whether to sleep only by the presence of a packet, especially If you follow the adaptive probabilistic power saving method, The emitter throughput and energy efficiency because of its superior to the IEEE 802.11 Power Save mode can be expected to improve the life of the network and improve data processing performance.

Ad hoc, wireless communication, wireless mobile communication, power saving, wireless LAN, sensor network

Description

Method with p-persistent for saving a battery power of wireless mobile communications nodes}

1 is a view for explaining the operation of the power saving mode based on the probability according to the present invention;

2 is a flowchart illustrating a power saving method of a wireless mobile communication node based on a probability according to the present invention;

3A to 3C are graphs showing the performance of the probability-based power saving mode according to the reference probability when the number of nodes is 12;

4A to 4C are graphs showing performance comparison results of an IEEE 802.11 power saving mode, a basic probability based power saving mode of the present invention, and an adaptive probability based power saving mode of the present invention.

The present invention relates to a power saving method of a wireless mobile communication node, and more particularly, to a power saving method of a wireless mobile communication node to enable efficient use of battery energy, a limited resource in a wireless mobile communication device.

In general, battery life is one of very important and limited resources in ubiquitous mobile communication systems because the life of many mobile communication devices, i.e., mobile nodes, depends entirely on small and light batteries. Much research has been done to reduce the energy consumption of mobile nodes. For ad-hoc networks, energy efficient routing protocols have been proposed that use power related metrics to find the optimal path.

A node is generally idle when not sending or receiving packets. However, because the node turns off most circuits, including the radio interface, in the sleep state, it is more energy efficient to put the node to sleep instead of the idle state. In the dormant state, however, the node is not aware of the system state. In this case, even if there are any packets destined for the node, the reception of the packets is delayed until the node wakes up. Therefore, in sleep mode, a node must wake up periodically and determine its own state to avoid excessive packet delay. In such systems, the achievement of power savings results in packet delays, so an efficient sleep or awake decision is required to avoid further energy savings and seriously degrade the performance of other systems. For example, in IEEE 802.11 power save mode, a node determines its state only based on whether there is a packet destined for that node. However, as in the IEEE 802.11 standard, determining the dormant state only by whether there is data to be received would result in inefficient use of energy when a node accesses a competitive channel. Accordingly, IEEE 802.11 mode has a problem in that the energy wasted, the network performance due to data throughput is also reduced due to excessive competition.

An object of the present invention is to save energy of a wireless mobile communication node based on the probability of increasing the lifespan of the wireless mobile communication node by improving the energy efficiency compared to the conventional power saving mode such as IEEE 802.11 power saving mode. To provide.

Another object of the present invention is to provide a power saving method of a wireless mobile communication node based on a probability of increasing data throughput over a conventional power saving mode such as IEEE 802.11 power saving mode.

The present invention provides a power saving method of a wireless mobile communication node for reducing battery power consumption based on a probability, the first determination step of determining whether there is data to be received from the information of the received ATIM frame, receiving the determination result of the first determination step If there is data to be received, the node determines that the node enters a dormant state. It has a configuration including a dormancy determination step of determining.

The dormancy determination step preferably generates random numbers and enters a dormant state if the generated random number is less than or equal to the calculated dormancy probability and remains idle if the random number is greater than the calculated probability.

The dormancy probability is calculated by calculating a reference probability and adding the contribution probability considering one or more of the number of packets destined for the node, the packet delay, the number of contention, the channel state, and the remaining energy amount to the calculated reference probability. .

The sleep probability is P _sleep calculated by Equations (1) to (5) below.

,

,

,

,

또는

or

및

And

에 의해 산출되며,

Is calculated by

n represents an element of any probability of contribution, the number of which is 1≤n≤N, UP _n is the maximum measurement of element n, LOW _n is the minimum measurement of element n, and W _n is the probability of element n Weight, W _total is the sum of the weights for the probabilities of all elements, P _base is the reference probability, N is the total number of elements, Y _n is the maximum possible contribution probability of element n, V _n is the measurement of element n, and P _n is The contribution probability of factor n.

In some cases, the present invention provides a method for power saving of a wireless mobile communication node for reducing battery power consumption based on probability, the first determination step of determining whether there is data to be received from the information of the received ATIM frame, the first determination step A dormancy determination step for allowing the node to enter a dormant state when there is no data to be received as a result of the determination, and if there is data to be received as a result of the determination of the first determination step, regardless of the dormancy probability In the second judging step of determining whether there is an emergency bit indicating that the node is to remain idle, and in the second judging step of determining whether the node remains idle when there is an emergency bit in the second judging step. If there is no emergency bit, the sleep probability is calculated, and the node sleeps according to the calculated sleep probability. It may have a configuration including a dormancy determination step of determining whether or not.

The dormancy determination step here also generates a random number, and if the generated random number is less than or equal to the calculated dormancy probability, enters a dormant state, and if the random number is greater than the calculated probability, it is good to remain idle.

The dormant probability is also calculated by calculating a variable reference probability and adding the contribution probability in consideration of one or more of the number of packets destined for the node, packet delay, contention number, channel state, and remaining energy amount to the calculated variable reference probability. desirable.

In this case, the sleep probability is P _sleep calculated by Equations (1) to (5) below.

,

,

,

,

또는

or

및

And

에 의해 산출되며,

Is calculated by

n represents an element of any probability of contribution, the number of which is 1≤n≤N, UP _n is the maximum measurement of element n, LOW _n is the minimum measurement of element n, and W _n is the probability of element n Weight, W _total is the sum of the weights for the probabilities of all elements, P _vbase is the variable reference probability, N is the total number of elements, Y _n is the maximum possible contribution probability of element n, V _n is the measurement of element n, P _n Is the probability of contribution of factor n,

The variable reference probability is P _vbase calculated by Equations (6) to (8) below.

,

,

및

And

에 의해 산출되고,

Calculated by

D _B is a delay boundary value that guarantees the quality of service, λ ₁ D _B is a threshold value, which is a desirable delay value, d is a measured delay value of a received packet, δ is a delay difference, and Δ _new is an exponential value of the delay difference. Change average, Δ _old is the previous exponential change average, ρ is the coefficient to give the appropriate change to Δ _new according to the system, λ ₁ is the parameter to set the target delay value based on the delay boundary, P _pvbase is the previous variable reference probability value, α is characterized in that the numerical value to determine the ratio of the previous value and the current value.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The present invention can be used with any frame-structured MAC protocol, but for the sake of convenience of explanation the operation based on IEEE 802.11 is described.

1 is a view for explaining the operation of the power saving mode based on the probability according to the present invention.

In FIG. 1, time is divided into beacon intervals corresponding to superframes. At the beginning of each beacon interval, all nodes (Node A, Node B, Node C, Node D, Node E) are awake for the duration of the ad-hoc traffic indication message (ATIM) window. When one node has a packet to send to another node, this packet is known by the ATIM frame during the ATIM window. This ATIM frame is transmitted using a carrier sense multiple accesses / collision avoidance (CSMA / CA) mechanism. In IEEE 802.11 power saving mode, a node receiving an ATIM frame should send an ATIM-ACK response.

However, in the present invention, when a node receives an ATIM, it calculates a sleep probability and uses the sleep probability to determine the state of the node. If the node decides to sleep, it sends an ATIM-SACK instead of an ATIM-ACK for the remaining ATIM window. This frame (ATIM-SACK) means that the node has received an ATIM frame but has decided to sleep. Since the ATIM-ACK or ATIM-SACK is transmitted over a shared radio medium, all nodes that receive a response can update information about the status of the node that sent the response.

In Figure 1, when Node A transmits an ATIM frame to Node B, NodeB broadcasts ATIM-SACK instead of ATIM-ACK when it is determined to calculate dormancy probabilities and sleep in the manner described below. Node A, node C, node D, and node E then update node B's information. If there is no data destined for NodeB during the ATIM window, NodeB sleeps for the beacon interval after the ATIM window is over and wakes up at the start of the next beacon interval to activate. However, if there is more data destined for Node B during the corresponding ATIM window, as in Node C of FIG. 1, Node C broadcasts an ATIM frame, and Node B receives it and calculates the sleep probability to stay awake. If it is determined to broadcast the ATIM-SACK to the surrounding nodes. Accordingly, neighboring nodes A, C, D, and E update node B's information, and node A and node C having data to send to node B transmit data to node B during the beacon interval, After receiving the data, NodeB repeats the process of the next beacon interval. On the other hand, if the node D and the node E decide to sleep by calculating dormancy probability even if there is no data to send or receive with other nodes or if there is data to send or receive to other nodes, the node D sleeps for the beacon interval and wakes up at the beginning of the next beacon interval, Perform the process.

There are two modifications to the ATIM frame required for the power saving method of the wireless mobile communication node based on the probability according to the present invention. First, a field indicating the number of packets queued for the destination node of the ATIM is added. In the power saving method of a wireless mobile communication node based on a probability according to the present invention, the destination node uses the information of this added field to calculate its dormancy probability. Second, an emergency field is additionally needed in the ATIM frame. This emergency field is sufficient for one bit field. This 1-bit emergency field is used to indicate that a node receiving an ATIM frame with this emergency field must respond with an ATIM-ACK and stay awake for the beacon interval, regardless of the sleep probability. This emergency field can be used, for example, to inform the destination node that it should be awake when the number of packets queued for the destination node is greater than a predetermined value or the packet delay is greater than a certain value.

The power saving method of the wireless mobile communication node based on the probability according to the present invention is divided into two methods, a basic probability based power saving mode and an adaptive probability based power saving mode. The default probability-based power saving mode is simpler than the adaptive probability-based power saving mode in the calculation of the sleep probability P _sleep .

First, a method of calculating the probability used in the basic probability basis mode mode will be described.

According to the present invention, the dormancy probability consists of two parts, the reference probability and the contribution probability. The reference probability is a probability that is set in consideration of the load and / or dormancy tended to be affected by the node, and is expressed as P _base here. Basic Probability Basis In power save mode, this P _base remains fixed. There are various methods for calculating the contribution probability reflecting the change of factors, but the simple method of sum of the contribution probabilities of weighting factors is used.

Important weighting factors include:

1) the number of queued packets destined for the node

This weighting factor should be considered because the size of the queue for buffering packets is limited. When the queue is full because of bad sleep decisions, many new packets will be lost and the system's performance will be degraded. Therefore, if the number of packets temporarily stored in the buffer destined for the node is large enough to degrade the system performance, the node must wake up and receive the packets. However, if the number of queued packets is small enough to not seriously degrade system performance, and the dormant helps to save more energy, the node can go dormant. In the probabilistic power saving method according to the present invention, the number of packets as well as the presence of the queued packets are considered for energy efficiency.

2) packet delay

Sleep mode operation uses packet delay to save energy. However, this weighting factor should be carefully considered in dormancy decisions because excessive delays can cause timeouts of events at the upper layers of the network protocol stack and then cause serious problems. The use of sleep mode involves the tradeoff between energy savings and packet delay. The probability-based power saving method according to the present invention allows for sending and receiving packets within an acceptable delay time by considering this weighting factor in a direct or indirect manner.

3) number of competitions

The power saving method of the wireless mobile communication node based on the probability according to the present invention can be used in any system having MAC-based competition such as IEEE 802.11 Distributed Coordination Function (DCF). In competition-based systems, excessive competition leads to energy consumption and should be avoided. By keeping some nodes dormant to keep the number of competing nodes reasonably low, we can reduce energy consumption due to excessive competition. The probability-based power saving method according to the present invention can adjust the number of competing nodes in the corresponding superframe, that is, by adjusting the sleep probability according to the number of contention nodes during the beacon interval in the IEEE 802.11 DCF.

4) Channel Status

In a mobile communication system, channel gain is not a constant factor. A node with a better channel can transmit more data with a given amount of transmit energy. In addition, channel conditions are highly related to bit error probabilities and affect energy consumption. For example, when packet transmission fails due to poor channel conditions, retransmission of the packet is required, which requires additional energy. Therefore, even if a node having a bad channel has packets to be transmitted and received, it may be preferable to keep the node asleep rather than transmitting and receiving packets in the awake state. That is, the dormancy determining means can be further improved by considering the channel condition.

5) residual energy

Nodes operating with limited battery capacity have a limited lifetime. For some nodes, where the total amount of data sent and received is important, lifespan may not be an important factor. However, for nodes with the same common purpose as in sensor networks, the end of the life of any one node can be a very important factor. Also, as in a wireless ad hoc network, if nodes have a duty to route and connect nodes to nodes, the death of one node means a change in the topology and connectivity of that network. From an energy efficiency point of view, the dormancy determining means should extend the life of the node by increasing the dormancy probability when the node does not have enough energy.

In the following equations, n represents a weight factor of any contribution probability, the number of which is 1≤n≤N, UP _n is the maximum measure of the weighting factor n, LOW _n is the minimum measure of the weighting factor n, W _{where n} is the contribution weight for the probability of the weighting factor n, W _total is the sum of the weights for the probabilities of the total weighting factors, P _base is the reference probability, and N is the total number of weighting factors. Y _n is

이 되고, 따라서

Becomes and thus

이 된다.

Becomes

If V _n is a measurement of the weight factor n and the contribution probability of the weight factor n is P _n , there are two methods for calculating P _n using V _n and Y _n . If the contribution probability increases with V _n and increases, P _n is

로 계산된다.

Is calculated.

On the other hand, in the case of factors such as the number of queued packets, the state of the channel, and the amount of energy remaining, a higher value of that element means that the contribution probability should be smaller. P _n is then

와 같이 계산된다.

Is calculated as

After all, the sleep probability P _sleep is

와 같이 계산된다.

Is calculated as

Each node uses this dormant probability to perform a persistent test. This process is repeated each time the node receives an ATIM frame, until it passes the persistence test during the ATIM window.

For example, when the sleep probability is determined, the node generates a random number between 0 and 1, and compares the generated random number with the sleep probability. If the generated random number is less than or equal to the sleep probability, the node determines a sleep state. In this case, even if there is data to be received, the node broadcasts the ATIM-SACK and sleeps for the corresponding beacon interval.

If the generated random number is greater than the dormancy probability, it stays awake, ie idle, and competes with other nodes to send and receive data.

In the present invention, when the dormancy probability becomes 0, it operates in the same manner as the IEEE 802.11 power saving mode, and the closer the dormancy probability is to 1, the greater the probability of being in the dormant state in the corresponding frame.

A node can send zero or more ATIM-SACKs and at most one ATIM-ACK during a window. For example, in FIG. 2, NodeB sends one ATIM-SACK and one ATIM-ACK frame. The node sending the ATIM-ACK frame must remain awake for the remaining beacon intervals.

In the basic probabilistic basis power saving mode as described above, an emergency bit is set in an emergency field of an ATIM frame when the number of _queued packets exceeds an upper limit indicated by an UP _queue . The emergency bit can be set to 1, and can be set to 0 if it is not an emergency and vice versa.

In the above, the basic probability basis power saving mode according to the present invention has been described.

Next, the adaptive probability basis power saving mode according to the present invention will be described.

In the basic probabilistic basis power saving mode described above, the reference probability is fixed to a specific value. However, it is difficult to predict the traffic load and dormancy trend of a node before starting communication. Therefore, it is not easy to determine the fixed reference probability appropriate for the node. Simulation results described later show that packet delay and energy consumption are affected by a drop in baseline probability. The default probabilistic power saving mode can be improved by adaptively adjusting according to communication conditions.

The present invention provides an adaptive probabilistic basis power saving mode that satisfies the delay limit and has good performance in terms of energy efficiency and throughput. Adaptive Probability Basis In power saving mode, the reference probability is adjusted according to packet delay or the like. The reference probability adjusted in this way is referred to as a variable reference probability in this specification. If the delay boundary for guaranteeing the quality of service (QoS) is D _B , the delay boundary may be given separately for each traffic class in a system having multiple classes. Regarding the delay boundary D _B , there are two parameters λ ₁ and λ ₂ . These have a relationship of 0 <lambda ₁ <lambda ₂ <1.

λ ₁ is a variable for setting a target delay value based on a delay boundary. For example, λ ₁ becomes 0.7 if the target value of the average delay is set to 70 ms while the maximum allowable delay is 100 ms.

λ ₁ D _B is used as a threshold value for adjusting the variable reference probability and indicates a desired target delay value.

Here, since the delay of each packet can be measured at its upper layer, it is assumed that the measured packet delay can be obtained from its upper layer using a cross-layer approach.

Each time a node receives a packet it calculates the difference between the desired target delay and the received packet delay. If the measured delay of the received packet is represented by d, then the delay difference δ is

이 된다.

Becomes

The node then computes the average of the exponential changes in the delay differences using equation (7) below.

Here, Δ _new and Δ _old are the update value and the previous value of the exponential change average of the delay difference, respectively. Each time a new ATIM frame is received, the node changes the variable reference probability by adding ρΔ _new to the previous variable reference probability.

That is, the variable reference probability P _vbase is

와 같이 된다. 여기에서 P_pvbase는 이전의 가변기준확률 값이다. ρ는 Δ_new에 적절한 변화를 가하기 위한 계수(coefficient)로서 네트워크 설계자가 구축하고자하는 네트워크의 여건에 따라 결정할 수 있다.

Becomes Where P _pvbase is the previous variable reference probability value. ρ is a coefficient for applying an appropriate change to Δ _new and can be determined according to the network conditions that the network designer wants to build.

On the other hand, another parameter λ ₂ related to the delay boundary is used for setting the emergency bit. That is, this lambda ₂ is a variable for setting a delay at which the emergency bit should be set because the delay is too large. For example, when lambda ₂ is set when the maximum allowable delay exceeds 90 ms, the maximum allowable delay is 100 ms. Becomes 0.9.

When a head-of-line packet in the queue exceeds λ ₂ D _B or the number of _queued packets is greater than the UP _queue , the node sets the emergency field to 1 in the ATIM frame. Wake the destination node by setting

Although we have shown that packet delay is reflected in the change in variable reference probability, other factors, such as the number of queued packets, the number of contention nodes, channel conditions, and residual energy, are also applied to the change in variable reference probability. Alternatively, it may be additionally reflected, and which factors are reflected in the change in the variable reference probability is determined by the characteristics or conditions of the network.

The operation process of the present invention as described above is summarized with reference to FIG.

2 is a flowchart illustrating a power saving method of a wireless mobile communication node based on a probability according to the present invention.

First, in the waking state at the beginning of the beacon interval, the node receives an ATIM frame (step 1). The ATIM frame contains information about whether there is data that the node should receive during the beacon interval.

Then, it is determined whether there is data to be received from the received ATIM frame (step 2).

As a result of the determination, if there is no data to be received, it is determined to sleep for the corresponding beacon interval (step 3).

As a result of the determination, if there is data to be received, it is determined whether there is an emergency bit in the emergency field of the ATIM frame (step 4).

If there is an emergency bit in the ATIM frame, it is determined to be idle (step 5).

If there is no emergency bit in the ATIM frame, the sleep probability is calculated in the manner described above (step 6). Of course, in some cases, steps 4 and 5 may be omitted, and if there is no data to be received as a result of the determination of step 2, step 6 may be immediately performed. This is a problem for the network designer to decide according to the network conditions.

As mentioned above, there are two methods of calculating the probability of dormancy, the basic probability-based power saving mode and the adaptive probability-based power saving mode.

And generate a random number between 0 and 1 (step 7). In some cases, the range of random numbers can be adjusted.

Compare the calculated dormancy probability with the random number (step 8).

If the random number generated as a result of the comparison is less than or equal to the dormancy probability, it is decided to sleep during the beacon interval (step 9).

If the resulting number is greater than the dormancy probability, the idle state is determined (step 10).

Based on the above description, the simulation is as follows.

[Simulation example]

1) Simulation Model

The inventor performed the simulation according to the IEEE 802.11 power saving mode and the probability-based power saving mode according to the present invention using a network simulator-2. In the simulation, the beacon spacing was 100 ms and the size of the ATIM window was fixed at 20 ms. The bits added to the ATIM frame for the probabilistic power saving mode according to the present invention are 5 bits, 4 bits of which are for the number of queued packets and 1 bit for the emergency field. All nodes have an initial energy of 300J. The energy consumption of one node in transmission, receiving, idle and sleep states is 1340mW, 786mW, 739mW and 47mW, respectively. In the initial setup, all nodes are randomly distributed in a rectangular area with a side length of 70 m. Each node has two user datagram protocol (UDP) data connections, generating one packet every 100 ms for one connection and one packet every 300 ms for another. Since the size of the packet is fixed as 100 bytes, they correspond to constant bit rate traffics of 8 kbps and 3/8 kbps, respectively. Parameters not mentioned here have default settings of IEEE 802.11 in the network simulator. In calculating the sleep probability, four factors were considered: number of queued packets, number of races, channel state and residual energy. The nominal values of these elements are shown in Table 1.

Table 1.

Factor Weight Lower limit Upper limit The number of packets queued 0.4 0 5-15 Competitor 0.4 0 100 Power of the received signal 0.2 0 mW 0.005 mW Residual energy 0.4 0 J 300 J

For channel conditions, the power of the received signal is used and measured from the exchanged ATIM frame. The remaining energy was taken into account since it was half the initial energy. The values of parameters used only in the adaptive probabilistic basis power saving mode of the present invention are given by D _B = 300 ms, λ ₁ = 0.5, λ ₂ = 0.8, α = 0.5 and ρ = 0.1.

2) Simulation result

3A to 3C are graphs showing the performance of the probability-based power saving mode according to the reference probability when the number of nodes is 12. FIG.

The lifetime of the network is defined as the time from the start of simulation until the first node runs out of energy. As shown in FIGS. 3A to 3C, both the reference probability and the upper limit of the number of queued packets have a significant effect on the performance of the probability-based power saving mode according to the reference probability. Based on the probability P _base and the lower the upper limit number of UP packets in the _queue grows put in a queue, the life of the network is, the longer bit per energy consumption packet delay is increased as opposed to shrink. This means that there is an exchange between delay performance and energy efficiency. Therefore, we need to choose a standard probability that is well suited to the communication conditions.

4A to 4C are graphs showing performance comparison results of an IEEE 802.11 power saving mode, a basic probability based power saving mode of the present invention, and an adaptive probability based power saving mode of the present invention.

As can be seen in FIGS. 4A-4C, the power saving modes based on the probabilities of the present invention provide better performance than the IEEE 802.11 power saving mode in throughput and energy efficiency. However, the power saving modes according to the present invention have a larger packet delay than the IEEE 802.11 power saving mode. In the power saving modes according to the present invention, the delay is natural because the node may sleep even when there is a packet to receive. However, in the adaptive probabilistic power saving mode according to the present invention, the packet delay does not exceed the desired target delay value given by 150 ms in the simulation. In other words, the adaptive probabilistic power saving mode according to the present invention provides more energy savings and higher throughput than the IEEE 802.11 power saving mode under a given delay limit. Adaptive Probabilistic Basis Power Saving Mode is designed to improve throughput performance and energy efficiency while satisfying delay limit under time varying communication environment.

Many other power saving methods only consider the existence of a packet destined for the destination, but in the probabilistic basis power saving mode according to the present invention, even if there is a packet destined for the node, the node can turn off the network interface using the sleep probability. . The dormancy probability is calculated by considering various factors that influence the dormancy probability. How these factors change the dormancy probability is described above.

The present invention described above can be most suitably applied to the field of wireless mobile communication using a wireless LAN card or a sensor network device.

As described above, the power saving method based on the probability according to the present invention has more data throughput and energy efficiency than the conventional method of determining whether to sleep only by the presence of a packet.

In particular, the adaptive probabilistic power saving method of the present invention is superior to the IEE 802.11 power saving mode in terms of data throughput and energy efficiency while satisfying the delay limit.

Accordingly, when using the present invention it can be expected to improve the life of the network and improve the data processing performance.

Claims (8)

In the power saving method of a wireless mobile communication node for reducing battery power consumption based on probability, A first determination step of determining whether there is data to be received from the information of the received ATIM frame; A sleep determination step of causing the node to enter a sleep state if there is no data to receive as a result of the determination of the first determination step; And And a dormancy determination step of calculating a dormancy probability of the node if there is data to be received as a result of the determination of the first determination step and determining whether or not the node is dormant based on the calculated dormancy probability. Power saving method of wireless mobile communication node. The method according to claim 1, wherein the dormancy determination step generates random numbers and enters a dormant state if the generated random number is less than or equal to the calculated dormancy probability and remains idle if the random number is greater than the calculated probability. Probability-based Wireless Mobile Nodes. 3. The dormant probability of claim 1 or 2, wherein the dormant probability is one of the number of packets destined for the node, the packet delay, the number of contention, the channel state, and the amount of energy remaining. A power saving method for a wireless mobile communication node based on probability, which is calculated by adding a contribution probability considering the above. The method of claim 3, wherein the sleep probability is P _sleep calculated by Equation (1) to (5) below.

,

,

or

And

Is calculated by n represents an element of any probability of contribution, the number of which is 1≤n≤N, UP _n is the maximum measurement of element n, LOW _n is the minimum measurement of element n, and W _n is the probability of element n Weight, W _total is the sum of the weights for the probabilities of all elements, P _base is the reference probability, N is the total number of elements, Y _n is the maximum possible contribution probability of element n, V _n is the measurement of element n, P _n The power saving method of the wireless mobile communication node based on the probability, characterized in that the contribution probability of the element n. In the power saving method of a wireless mobile communication node for reducing battery power consumption based on probability, A first determination step of determining whether there is data to be received from the information of the received ATIM frame; A dormancy determination step of causing the node to enter a dormant state when there is no data to receive as a result of the determination of the first determination step; A second judging step of judging whether there is an emergency bit indicating that the node is to remain idle regardless of a dormancy probability from the information of the received ATIM frame when there is data to be received as a result of the determination of the first judging step; An idle determination step of allowing the node to remain idle when there is an emergency bit in the second determination step; And And calculating a dormancy probability when there is no emergency bit in the second determination step, and determining whether to sleep the node according to the calculated dormancy probability. How to save power. 6. The method according to claim 5, wherein the dormancy determination step generates random numbers and enters a dormant state if the generated random number is less than or equal to the calculated dormancy probability and remains idle if the random number is greater than the calculated probability. Probability-based Wireless Mobile Nodes. The method according to claim 5 or 6, wherein the dormancy probability is calculated from a variable reference probability, and the calculated number of packets destined for the node as the destination, packet delay, contention number, channel state, and residual energy amount. A power saving method for a wireless mobile communication node based on the probability, characterized in that it is calculated by adding the contribution probability considering one or more. The method of claim 7, wherein the sleep probability is P _sleep calculated by Equations (1) to (5) below.

,

,

or

And

Is calculated by n represents an element of any probability of contribution, the number of which is 1≤n≤N, UP _n is the maximum measurement of element n, LOW _n is the minimum measurement of element n, and W _n is the probability of element n Weight, W _total is the sum of the weights for the probabilities of all elements, P _vbase is the variable reference probability, N is the total number of elements, Y _n is the maximum possible contribution probability of element n, V _n is the measurement of element n, P _n Is the probability of contribution of factor n, The variable reference probability is P _vbase calculated by Equations (6) to (8) below.

,

And

Calculated by D _B is a delay boundary value that guarantees the quality of service, λ ₁ D _B is a threshold value, which is a desirable delay value, d is a measured delay value of a received packet, δ is a delay difference, and Δ _new is an exponential value of the delay difference. Change average, Δ _old is the previous exponential change average, ρ is the coefficient to change Δ _new according to the system, λ ₁ is the parameter to set the target delay value, P _pvbase is the previous variable reference probability A value, α is a value for determining the ratio of the previous value and the current value by the ratio of the power saving method of the wireless mobile communication node, characterized in that the probability.

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