CN113031745B - Environment electromagnetic energy acquisition oriented ultra-low power consumption operation method for Internet of things - Google Patents
Environment electromagnetic energy acquisition oriented ultra-low power consumption operation method for Internet of things Download PDFInfo
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Abstract
The invention discloses an ultra-low power consumption operation method of an internet of things for environmental electromagnetic energy acquisition, and belongs to the technical field of communication. According to the invention, the probability distribution condition of the time required for obtaining a certain energy based on the object node for obtaining the environmental electromagnetic energy is obtained by monitoring the environmental electromagnetic intensity information and utilizing the environmental electromagnetic energy obtaining model. In addition, by setting the significance level, a confidence interval, namely an estimated time sequence of the arrival time of the next piece of information is obtained, and the confidence intervals of the arrival times of the next piece of information of all nodes are effectively combined, so that the problem that an access gateway in the network needs to monitor the information in real time and the problem of high power consumption caused by the problem are effectively solved. Aiming at the problem of high power consumption of the access gateway in the environmental electromagnetic energy-taking Internet of things, the invention estimates the arrival time of the node information of the object end by introducing an environmental electromagnetic energy-taking model, reasonably adjusts the switching of the working/dormant modes of the access gateway, reduces the power consumption of the access gateway and further reduces the power consumption of the whole network.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to an ultra-low power consumption operation method of an internet of things for environmental electromagnetic energy acquisition.
Background
With the development of 5G technology, the Internet of things is widely applied. However, for the object end node powered by the battery, the power supply period and the working frequency are a pair of contradictions which cannot be solved, and the manual replacement method is not feasible for the object end nodes with mass existence, so the demand of the low-power consumption internet of things technology is more urgent. At present, the adoption of an environmental energy-taking technology becomes a technology which is closely concerned by scientific research and industry related personnel, such as solar energy, wind energy, electromagnetic energy and the like. The electromagnetic energy is not influenced by environment, season and time, and is widely existed in surrounding environments such as television, mobile communication, WiFi and the like.
At present, in the field of environmental electromagnetic energy-obtaining internet of things, a star-shaped network architecture, namely a plurality of object-end nodes and an access gateway, is commonly used. The object end node adopts environment electromagnetism to obtain energy, and the access gateway adopts an active mode. Although the object end node adopts the environment electromagnetic energy taking, the power consumption is reduced greatly, however, the access gateway adopts the real-time monitoring state, and the power consumption is still a problem which is difficult to solve.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an ultra-low power consumption operation method of the internet of things for environmental electromagnetic energy acquisition.
In order to achieve the purpose, the invention adopts the technical scheme that:
an environment electromagnetic energy acquisition oriented ultra-low power consumption operation method for an internet of things is used for the internet of things consisting of 1 access gateway and N object end nodes, wherein the N object end nodes are marked as NS (NS) { NS ═ 1 ,ns 2 ,...,ns N The method comprises the following steps:
1) the object end node supplies self energy by adopting environmental electromagnetic energy, starts information transmission once when collecting enough information transmission energy at intervals, and the access gateway receives the information transmitted by the object end node, records the arrival time of the corresponding node information while processing the information, and records the arrival time of the N object end node information as TS (TS ═ TS) 1 ,ts 2 ,...,ts N }; meanwhile, the access gateway measures the environmental electromagnetic intensity information (mu, sigma) in the non-information receiving period 2 ) Wherein mu is the mean value of the electromagnetic intensity, and sigma is the standard difference of the electromagnetic intensity;
2) according to the latest TS ═ TS 1 ,ts 2 ,...,ts N And (μ, σ) 2 ) Information, minimum energy E required for transmitting information by using environment electromagnetic energy-taking model and object-end node min CalculatingNode ns i Setting a significance level alpha according to the probability distribution condition of the arrival time of the next piece of information, and obtaining a corresponding confidence interval
3) Merging each interval according to the confidence interval of the arrival time of the next piece of information of each node obtained in the step 2), obtaining an access gateway awakening time sequence, and recording the sequence as an access gateway awakening time sequence
4) Controlling the access gateway according to the time sequence obtained in the step 3), once the access gateway enters the time sequence, switching the access gateway from a dormant state to a working state, updating the information arrival time of the corresponding node after receiving the information, measuring the environmental electromagnetic intensity information and updating (mu, sigma) in the non-information arrival time of the access gateway in the working state 2 ) If the current time is not in the wake-up time sequence, the access gateway is set to be in a dormant state until the current time
Return to step 2).
Further, the specific mode of the step 1) is as follows:
1.1) the access gateway is started and in a working mode, and whether an object end node sends information is monitored in real time;
1.2) once information arrives, acquiring object end node identification information ns according to the content of the head of the information i And recording the information arrival time ts i ；
1.3) recording the environment electromagnetic intensity information at the non-information arrival time, and recording the average value mu and the variance sigma of the environment electromagnetic intensity 2 Updating is carried out;
1.4) continuously recording the arrival time of not less than 4 information of each node, and generating not less than 3 information arrival intervals in total by each node, and marking as Int i,1 ,Int i,2 ,Int i,3 If two are adjacentThe information arrival intervals are all lower than 20%, namely:
the information is considered to arrive in sequence, no information loss occurs, and the current moment is the accurate latest moment;
1.5) when the information arrival time of all nodes meets the requirement of the step 1.4), the access gateway completes the update work of the latest information receiving time, namely TS ═ { TS ═ TS } 1 ,ts 2 ,...,ts N And e), updating work of the information of the environmental electromagnetic intensity, turning to the step 2), and otherwise, entering the step 1.2) again.
Further, the specific mode of the step 2) is as follows:
2.1) for the object-side node ns i The arrival time of the last piece of information is ts i Obtaining the latest environmental electromagnetic intensity information (mu, sigma) 2 )；
2.2) establishing an environmental electromagnetic energy pickup model:
wherein E is the direct current energy obtained from the environment by the object end node, G r The gain of the antenna for picking up energy from the object end node, lambda is the frequency wavelength of energy picking up, eta PEC For the efficiency of the rectifier circuit, delta t is a time interval constant, M is a time parameter, M.delta t is a time length, and S (t) is the intensity of an environment electromagnetic environment;
2.3) determining E as the minimum energy required by the object end node to transmit information once, namely E-E min S (t) is the environmental electromagnetic environment intensity, which follows a normal distribution, i.e., S (t) N (mu, sigma) 2 ) And M.DELTA.t also follows a normal distribution, i.e.
Wherein mu M ＝E min /μ；
2.4) obtaining sigma by simulation method M To obtain the probability density function of M · Δ t:
2.5) setting a significance level alpha, and obtaining a confidence interval by using the following formula
Wherein,
further, obtaining sigma in step 2.4) M The specific way of the value of (c) is:
2.4-1) setting a parameter G according to the actual configuration condition of the object end node r ,λ,η PEC ,E min ；
2.4-2) setting parameters (mu, sigma) based on detected ambient electromagnetic intensity information 2 )；
2.4-3) setting the number N of data which need to be generated in total, wherein N is more than or equal to 10000;
2.4-4) to generate a normal distribution (μ, σ) 2 ) Data X group of (1), wherein X.gtoreq.1.5 XE min /(μ·Δt)；
2.4-5) using the data generated in step 2.4-4) are summed using equation (1) to find M 0 So that
Record M 0 Δ t ofA value;
2.4-6) statistically generated M 0 The number of values of Δ t, see if N is reached, go to step 2.4-7) if N is reached, go to step 2.4-4) otherwise);
2.4-7) Using the resulting N groups M 0 Δ t data, calculate its mean square error
To obtain sigma M The value of (c).
Further, the specific mode of the step 3) is as follows:
3.1) confidence interval of arrival time of next information of each node
According to the following
Is subjected to ascending power sorting, and the sorted time sequence is
3.2) optionally taking i, wherein i is more than or equal to 1 and less than or equal to N-1, if
And is
Then will be
Are combined into
If it is
And is
Then merge it into
The merging of all time sequences is completed, and at the moment, time intersection does not exist in all the sequences;
3.3) time series of non-intersection generated in step 3.2)
Optionally taking i, wherein i is more than or equal to 1 and less than or equal to H-1, if
Then will be
Are combined into
Finally, the combined time series is recorded as
Δt min Is determined by the following formula:
wherein, E p-on Energy consumed to enter the active state from the dormant state, E p-off Energy consumed for the access gateway to enter the dormant state from the active state, P active For power consumption when the access gateway is in an active state, P sleep Power consumption when the access gateway is in a dormant state.
Compared with the prior art, the invention has the following beneficial effects:
1. in the actual operation process, because the object end node adopts an environment electromagnetic energy supplementing mode, the energy obtaining time is far longer than the communication time. In view of this, the access gateway of the present invention monitors the state in real time, and is in the idle state most of the time, so that the access gateway can reasonably enter the dormant state, and the power consumption of the whole network can be effectively reduced under the condition that the information of the end node of the object can be successfully received.
2. The invention utilizes the environment electromagnetic energy-taking model to realize the prediction of the energy-taking object end node on the next information sending time, and reduces the power consumption of the access gateway by obtaining the confidence space on the premise of ensuring that the information can be effectively received to the greatest extent, thereby reducing the overall power consumption of the system.
3. According to the invention, an environmental electromagnetic pickup model is constructed, a probability density function of time required for obtaining certain energy is reversely deduced, and a confidence interval, namely an arrival time interval of next information of a certain node, is further obtained by setting a significant level parameter, so that the information can be effectively received, and energy consumption resources of an access gateway cannot be wasted.
4. The invention combines the arrival time intervals of the next information of all nodes, and avoids the power consumption waste caused by the access gateway state switching in a short time. The access gateway is in a working state when entering the time sequence according to the obtained working state time sequence, and the non-time sequence enters a dormant state repeatedly, so that the effective receiving of the message is ensured, the power consumption of the access gateway can be reduced to a greater extent, and the power consumption of the whole network is reduced.
Drawings
Fig. 1 is a schematic diagram of a network architecture of an environmental energy-obtaining internet of things in the embodiment of the present invention.
Fig. 2 is a flowchart of the latest arrival time of the information of each object node and the environmental electromagnetic environment information after the access gateway is powered on in the embodiment of the present invention.
Fig. 3 is a schematic diagram of the operation timing sequence of the access gateway in the present invention.
Detailed Description
In order to make the contents and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.
An existing internet of things architecture for acquiring energy by using environmental electromagnetism generally adopts a star-shaped architecture, as shown in fig. 1, an object end node acquires energy by using the environmental electromagnetic energy, and communication is performed once when enough energy for communication is acquired, however, since an access gateway adopts a real-time monitoring mode, namely, a message is waited for to arrive in real time, the maximum power consumption part of the internet of things for acquiring energy by using the environmental electromagnetic energy is located in the access gateway part. Generally, setting the access gateway to the sleep mode is an effective means for reducing the power consumption of the whole network, however, how to reduce the power consumption of the access gateway to the maximum extent and at the same time, it is ensured that the information of the end node is effectively received. According to the method, an environmental electromagnetic pickup model is fully utilized, a probability density function of the arrival time of the next piece of information is obtained according to the arrival time of the previous piece of information and the latest environmental electromagnetic information, and a confidence interval parameter of the arrival time of the next piece of information is obtained by setting a significance level parameter. The method comprehensively considers the change of the environmental electromagnetic intensity, updates the environmental electromagnetic intensity model in real time, ensures the accuracy of the probability density function of the next information arrival time to the maximum extent, performs joint optimization on the next information arrival time intervals of all nodes, and avoids power consumption loss caused by frequent switching.
Specifically, the method comprises the following steps:
acquiring initial information in the Internet of things after starting up
As shown in fig. 1, the environment-based energy-obtaining internet of things mainly comprises an access gateway and an object-side node.
1) Assuming that the internet of things is composed of 1 access gateway and N object-side nodes, the object-side nodes are denoted as NS ═ NS 1 ,ns 2 ,...,ns N And the object end node supplies self energy by adopting environmental electromagnetic energy, and starts information transmission once when the energy transmitted by the information is collected enough once at intervals, so that the access gateway receives the information transmitted by the object end node, records the arrival time of the information of the corresponding node while processing the information, and records the arrival time as TS (TS ═ TS } 1 ,ts 2 ,...,ts N And meanwhile, in the non-information receiving time period of the access gatewayMeasuring environmental electromagnetic intensity information (mu, sigma) 2 ) Wherein mu is the mean value of the electromagnetic intensity, and sigma is the standard deviation of the electromagnetic intensity;
as shown in fig. 2, the access gateway in step 1) records that the arrival time of the latest information of all the object end nodes is TS ═ { TS ═ TS } 1 ,ts 2 ,...,ts N And recording environmental electromagnetic intensity information (mu, sigma) 2 ) In order to avoid the inaccuracy of the latest arrival time due to the missing arrival of some node information, and the failure of the next prediction, the process described in step 1) should include the following steps:
1.1) the access gateway is started up to be in a working mode, and whether an object end node sends information is monitored in real time;
1.2) once information arrives, acquiring object end node identification information ns according to the content of the information head i And recording the arrival time ts of the information i ；
1.3) recording the environment electromagnetic intensity information at the non-information arrival time, and recording the average value mu and the variance sigma of the environment electromagnetic intensity 2 Updating is carried out;
1.4) continuously recording the arrival time of not less than 4 information of each node, and generating not less than 3 information arrival intervals in total by each node, and marking as Int i,1 ,Int i,2 ,Int i,3 If the arrival interval of two adjacent messages is lower than 20%, the following steps are performed:
the information is considered to arrive in sequence, no information loss occurs, and the current moment is the accurate latest moment;
1.5) when all nodes meet the requirement of step 1.4), the access gateway finishes the update work of the latest information receiving time, namely TS ═ TS 1 ,ts 2 ,...,ts N Of information on electromagnetic intensity of the environmentUpdating work, turning to the step 2), otherwise, entering the step 1.2) again.
(II) building object end node next information arrival time interval model
2) According to the latest TS ═ TS 1 ,ts 2 ,...,ts N And (μ, σ) 2 ) Information, minimum energy E required for sending by utilizing environment electromagnetic energy-taking model and environment energy-taking object end node information min Calculating node ns i Setting the significance level alpha according to the probability distribution condition of the arrival time of the next piece of information and obtaining a corresponding confidence space, namely
Utilizing environmental electromagnetic intensity information (mu, sigma) in the step 2) 2 ) And an environment electromagnetic energy obtaining model, reversely deducing a time model required by the node to collect enough energy, and obtaining a node ns by setting a significance level alpha i Time interval of arrival of the next piece of information. Step 2) the acquisition node ns i The confidence space of the arrival time of the next piece of information comprises the following steps:
2.1) for the object-side node ns i The arrival time of the last piece of information is ts i Acquiring latest environmental electromagnetic intensity information (mu, sigma) 2 )；
2.2) using ambient electromagnetic energy to pick up the model, as follows:
wherein E is the direct current energy obtained by the object end node from the environment, G r The gain of the energy-picking antenna for the object end node, lambda is the energy-picking frequency wavelength, eta PEC For the efficiency of the rectifier circuit, Δ t is a small time interval, which can be set to a small constant, M is a time parameter, M · Δ t is a time length, and s (t) is the environmental electromagnetic environment intensity.
2.3) determining E as the minimum energy required by the object end node to transmit information once, namely E-E min To is thatS (t) is the intensity of the ambient electromagnetic environment, which obeys a positive distribution, i.e., S (t) N (μ, σ) 2 ) According to the central limit theorem, it can be known that M.DELTA.t follows a normal distribution, i.e.
Wherein mu M ＝E min /μ；
2.4) obtaining sigma by simulation algorithm M The probability density function of M · Δ t can be obtained as follows:
2.5) set significance level α, using the following formula
Obtaining confidence intervals
Wherein
In the step 2.4), in how to obtain the probability density function of M · Δ t, it is known through analysis that M · Δ t is normally distributed, so that two core parameters are obtained, and according to correlation analysis and experience, the mean value should be E min Mu, and the variance thereof needs to be obtained by program simulation, obtaining the M · Δ t variance in step 2.4) should include the following steps:
3.1) setting a parameter G according to the actual configuration condition of the object end node r ,λ,η PEC ,E min ；
3.2) setting parameters (mu, sigma) according to the detected environmental electromagnetic intensity information 2 )；
3.3) setting the number N of data which need to be generated in total, wherein N is usually set to be more than or equal to 10000;
3.4) generating a coincidenceNormal distribution (mu, sigma) 2 ) Data X set of (1), wherein X.gtoreq.1.5 XE min /(μ·Δt)；
3.5) using the data generated in step 3.4) to sum using equation (1) to find M 0 So that
Record M 0 The value of Δ t;
3.6) statistically generated M 0 The number of values of Δ t, see if N is reached, go to step 3.7), otherwise go to step 3.4);
3.7) Using the resulting N groups M 0 Δ t data, calculate its mean square error
(III) performing time series fusion
3) Merging each interval according to the confidence space of the arrival time of the next information of each node obtained in the step 2), obtaining an access gateway awakening time sequence, and recording the sequence as an access gateway awakening time sequence
Recording the confidence space set of the arrival time of the next piece of information of each node in the step 3)
Because there may be a problem of frequent switching due to mutual overlapping and close time intervals, the merging of the time series is required, and the merging of the time series in step 3) should include the following steps:
4.1) confidence spaces for the arrival times of the next pieces of information at the respective nodes, e.g.
According to
The values of (A) are sorted in ascending power, without making the sorted time series as
4.2) optionally taking i, wherein i is more than or equal to 1 and less than or equal to N-1, if
And is
Then will be
Are combined into
If it is
And is
Besom and combine them into
And then finishing sequencing all the time sequences, namely that all the sequences have no time intersection and do not make the symbol of the sequence be
4.3) time series of non-intersection generated in step 2.2)
Optionally taking i, wherein i is more than or equal to 1 and less than or equal to H-1, if
Then will be
Are combined into
Finally, the combined time series is recorded as
Δt min Is determined by the following formula:
wherein, E p-on Energy consumed to enter the active state from the dormant state, E p-off Energy consumed for the access gateway to enter the dormant state from the active state, P active For power consumption when the access gateway is in an active state, P sleep Power consumption when the access gateway is in a dormant state.
(IV) the object end node enters the working/sleeping mode according to the time sequence
4) Controlling the access gateway according to the time sequence obtained in the step 3), once the access gateway enters the time sequence, the access gateway enters a working state from a dormant state, the information arrival time of the corresponding node is updated after the information is received, and the access gateway measures the environmental electromagnetic intensity information and updates (mu, sigma) at the non-information arrival time in the working state 2 ) And when the current time is not in the wake-up time sequence, setting the access gateway to be in a dormant state until the current time
Return to step 2).
As shown in fig. 3, the access gateway follows the time series obtained in the previous steps
And switching the working mode and the dormant mode.
In a word, the method obtains the probability distribution condition of the time required by the object-end node for acquiring certain energy based on the environmental electromagnetic energy acquisition by monitoring the environmental electromagnetic intensity information and utilizing the environmental electromagnetic energy acquisition model. In addition, by setting the significance level, a confidence interval, namely an estimated time sequence of the arrival time of the next message, is obtained, and the confidence intervals of the arrival times of the next messages of all nodes are effectively combined, so that the problem that an access gateway in the network needs to monitor the messages in real time and the problem of high power consumption caused by the problem are effectively solved. Aiming at the problem of high power consumption of the access gateway in the environmental electromagnetic energy-taking Internet of things, the invention estimates the arrival time of the node information of the object end by introducing an environmental electromagnetic energy-taking model, reasonably adjusts the switching of the working/dormant modes of the access gateway, reduces the power consumption of the access gateway and further reduces the power consumption of the whole network.
Claims (4)
1. An ultra-low power consumption operation method of an internet of things for environmental electromagnetic energy acquisition is characterized by being used for the internet of things consisting of 1 access gateway and N object-side nodes, wherein the N object-side nodes are marked as NS (NS) 1 ,ns 2 ,...,ns N The method comprises the following steps:
1) the object end node supplies self energy by adopting environmental electromagnetic energy, starts information transmission once when collecting enough information transmission energy at intervals, and the access gateway receives the information transmitted by the object end node, records the arrival time of the corresponding node information while processing the information, and records the arrival time of the N object end node information as TS (TS ═ TS) 1 ,ts 2 ,...,ts N }; meanwhile, the access gateway measures the environmental electromagnetic intensity information (mu, sigma) in the non-information receiving period 2 ) Wherein mu is the mean value of the electromagnetic intensity, and sigma is the standard difference of the electromagnetic intensity;
2) according to the latest TS ═ TS 1 ,ts 2 ,...,ts N And (mu, sigma) 2 ) Information, minimum energy E required for transmitting information by using environment electromagnetic energy-taking model and object-end node min Calculating node ns i Next letterSetting a significance level alpha according to the probability distribution condition of the arrival time of the information, and obtaining a corresponding confidence interval
The concrete mode is as follows:
2.1) for the object-side node ns i The arrival time of one message is ts i Acquiring latest environmental electromagnetic intensity information (mu, sigma) 2 )；
2.2) establishing an environmental electromagnetic energy pickup model:
wherein E is the direct current energy obtained by the object end node from the environment, G r The gain of the antenna for picking up energy from the object end node, lambda is the frequency wavelength of energy picking up, eta PEC For the efficiency of the rectifier circuit, delta t is a time interval constant, M is a time parameter, M.delta t is a time length, and S (t) is the intensity of an environment electromagnetic environment;
2.3) determining E as the minimum energy required by the object end node to transmit information once, namely E-E min And S (t) is the intensity of the environmental electromagnetic environment, which follows a normal distribution, i.e., S (t) N (mu, sigma) 2 ) And M.DELTA.t also follows a normal distribution, i.e.
Wherein mu M ＝E min /μ；
2.4) obtaining sigma by simulation method M To obtain the probability density function of M · Δ t:
2.5) setting a significance level alpha, and obtaining a confidence interval by using the following formula
Wherein,
3) merging each interval according to the confidence interval of the arrival time of the next piece of information of each node obtained in the step 2), obtaining an access gateway awakening time sequence, and recording the sequence as an access gateway awakening time sequence
4) Controlling the access gateway according to the time sequence obtained in the step 3), once the access gateway enters the sequence, switching the access gateway from a dormant state to a working state, updating the information arrival time of the corresponding node after receiving the information, measuring the environmental electromagnetic intensity information and updating (mu, sigma) in the non-information arrival time of the access gateway in the working state 2 ) If the current time is not in the wake-up time sequence, the access gateway is set to be in a dormant state until the current time
Return to step 2).
2. The ultra-low power consumption operation method of the internet of things for environmental electromagnetic energy acquisition according to claim 1, wherein the specific mode of the step 1) is as follows:
1.1) the access gateway is started and in a working mode, and whether an object end node sends information is monitored in real time;
1.2) once information arrives, acquiring object end node identification information ns according to the content of the information head i And recording the arrival time ts of the information i ；
1.3) recording the electromagnetic intensity of the environment at the non-information arrival timeDegree information, and mean value mu and variance sigma of electromagnetic intensity of environment 2 Updating is carried out;
1.4) continuously recording the arrival time of not less than 4 information of each node, and generating not less than 3 information arrival intervals in total by each node, and marking as Int i,1 ,Int i,2 ,Int i,3 If the arrival interval of two adjacent messages is lower than 20%, the following steps are performed:
the information is considered to arrive in sequence, no information loss occurs, and the current moment is the accurate latest moment;
1.5) when the information arrival time of all nodes meets the requirement of the step 1.4), the access gateway completes the update work of the latest information receiving time, namely TS ═ { TS ═ TS } 1 ,ts 2 ,...,ts N And (5) updating work of the environment electromagnetic intensity information, turning to the step 2), and otherwise, entering the step 1.2) again.
3. The ultra-low power consumption operation method of the internet of things for environmental electromagnetic energy acquisition according to claim 2, wherein the sigma is obtained in the step 2.4) M The specific way of the value of (c) is:
2.4-1) setting a parameter G according to the actual configuration condition of the object end node r ,λ,η PEC ,E min ；
2.4-2) setting parameters (mu, sigma) based on detected ambient electromagnetic intensity information 2 )；
2.4-3) setting the number N of data which need to be generated in total, wherein N is more than or equal to 10000;
2.4-4) to generate a normal distribution (μ, σ) 2 ) Data X set of (1), wherein X.gtoreq.1.5 XE min /(μ·Δt)；
2.4-5) Using the numbers generated in step 2.4-4)By summing using equation (1), M is found 0 So that
Record M 0 The value of Δ t;
2.4-6) statistically generated M 0 The number of values of Δ t, see if N is reached, go to step 2.4-7) if N is reached, go to step 2.4-4) otherwise);
2.4-7) Using the resulting N groups M 0 Δ t data, calculate its mean square error
To obtain sigma M The value of (c).
4. The ultra-low power consumption operation method of the internet of things for environmental electromagnetic energy acquisition according to claim 2, wherein the specific mode of the step 3) is as follows:
3.1) confidence interval of arrival time of next information of each node
According to
Is subjected to ascending power sequencing, and the time sequence after sequencing is
3.2) optionally taking i, wherein i is more than or equal to 1 and less than or equal to N-1, if
And is
Then will be
Are combined into
If it is
And is provided with
Then merge it into
The merging of all time sequences is completed, and at the moment, time intersection does not exist in all the sequences;
3.3) time series of non-intersection generated in step 3.2)
Optionally taking i, wherein i is more than or equal to 1 and less than or equal to H-1, if
Then will be
Are combined into
Finally, the combined time series is recorded as
Δt min Is determined by the following formula:
wherein, E p-on Energy consumed to enter the active state from the dormant state, E p-off Energy consumed for the access gateway to enter the dormant state from the active state, P active For power consumption when the access gateway is in an active state, P sleep Power consumption when the access gateway is in a dormant state.
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