CN109413698A - Method of rate allocation in a kind of wireless body area network based on this smooth Frederick Colberg game - Google Patents
Method of rate allocation in a kind of wireless body area network based on this smooth Frederick Colberg game Download PDFInfo
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- CN109413698A CN109413698A CN201811213858.0A CN201811213858A CN109413698A CN 109413698 A CN109413698 A CN 109413698A CN 201811213858 A CN201811213858 A CN 201811213858A CN 109413698 A CN109413698 A CN 109413698A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
- H04W28/22—Negotiating communication rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B13/00—Transmission systems characterised by the medium used for transmission, not provided for in groups H04B3/00 - H04B11/00
- H04B13/005—Transmission systems in which the medium consists of the human body
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses method of rate allocation in a kind of wireless body area network based on this smooth Frederick Colberg game, wherein, coordinator as game leader is under the limitation of network capacity, the message transmission rate of same net inner sensor node is adjusted by formulating rate price, to maximize the income of oneself, then, respective optimal transmission rate is obtained to the best receptance function of rate price as the sensor node foundation of game follower.This method considers that the isomerism of sensor node acquisition data of different function in netting to meet different data to the diversity requirement of transmission rate, improves the satisfaction of user during designing utility function.And the energy efficiency by the abnormality and node that acquire data according to node is that each sensor node divides priority level to guarantee the real-time of abnormal data transmission, extends the Web vector graphic service life.
Description
Technical field
It is speed in a kind of wireless body area network based on this smooth Frederick Colberg game the present invention relates to field of wireless communications networks
Rate distribution method.
Background technique
With social patients with chronic diseases quantity increase and the aggravation of aging of population trend, wireless body area network
(Wireless body area network, WBAN) is increasingly becoming people by its advantage that can monitor characteristics of human body in real time
Focus of attention.Wireless body area network is a kind of network body-centered, is attached on human body or is implanted by multiple
Sensor node and coordinator composition, wherein coordinator is usually the mobile phone that user is convenient for carrying or tablet computer etc.
Smart machine is responsible for collecting the information acquired from Home Network inner sensor node, be sent after fused processing by external network
To control centre.
The sensor node of Various Functions is responsible for acquiring diversified physiological parameter, such as electrocardiogram in wireless body area network
(ECG), electromyogram (EMG), electroencephalogram (EEG), the demand of body temperature etc., the defeated rate of these data mutual transmissions are different.And work as
When body area network user's burst disease, exception can be presented in corresponding physiological parameter, these abnormal datas need with higher rate and
When be sent to remote control terminal, in order to which medical staff is giving treatment at the first time.
It is as follows to the main research work of the data rate allocation problem of wireless body area network at present.
Sudip Misra of the Institute of Technology, India et al. proposes the speed adjust mechanism based on bargaining betting model,
The emergency for the physiological data that wherein each sensor node in body area network is acquired according to itself, the energy consumption at current time and
The parameters such as link-quality obtain respectively optimal message transmission rate by mutually bargaining.
It is shared that Changyan Yi of the university of manitoba et al. has studied the channel capacity in multiple body area network coexistence scenarios
Problem, wherein the coordinator in each body area network independently selects the priority and data of transmission according to the importance of the signal of collection
Transmission rate, and corresponding expense " is paid " thus, which describes this problem using Non-atomic Games model, is finally reached
Wardrop is balanced.
Above data rate allocation scheme is all based on Cooperative reference, and phase between node is being needed in implementation process
Mutual communication and consultation, this will inevitably lead to biggish communication overhead, bring to the limited sensor node of energy consumption heavier
Burden.
The present invention proposes rate-allocation in the wireless body area network based on non-cooperative game model for the insufficient of existing scheme
Method.Since the equipment in wireless body area network typically comprises the star topology centered on coordinator, coordinator is responsible for uniformly managing
The sensor node in Home Network is managed, therefore, this method constructs this smooth Frederick Colberg betting model (Stackelberg game
Model the isomerism and section of the physiological data of sensor node acquisition), and in the design of utility function have been comprehensively considered
The priority of point, to improve abnormal number while meeting each sensor node to message transmission rate different demands
According to the real-time of transmission, network life is extended.
Summary of the invention
The present invention proposes method of rate allocation in a kind of wireless body area network based on this smooth Frederick Colberg game.Firstly, making
For leader (leader) coordinator under the limitation of network capacity, pass through the message transmission rate for each sensor node
Pricing maximizes oneself income, then, sensor node as follower (follower) lattice according to the price
Best receptance function obtains respective optimal transmission rate, to obtain higher satisfaction with lesser cost.
In order to avoid producing ambiguity, the present invention is first illustrated following keyword: (1) Heterogeneous data refers to not
Demand of the physiological data of the sensor node acquisition of congenerous to transmission rate is different, as the temperature sensor in body area network is adopted
As 120bps, the transmission rate requirements of the electrocardiosignal of electrocardiography transducer monitoring are the transmission rate requirements of the temperature data integrated
71-288kbps；(2) data exception refers to that the perception value of the physiological signal of sensor node monitoring is normal relative to the signal
The fluctuation of value；(3) sensor node energy efficiency refers to the energy proportion that current time sensor node has consumed, should
The bigger node energy efficiency of ratio is lower；(4) priority of sensor node refers to and comprehensively considers the different of node acquisition data
The energy efficiency of perseverance and this node is the priority of the node division, and the abnormality for acquiring data is larger and energy efficiency is higher
Sensor node priority is higher.
By i-th of sensor node s in the present inventioniPriority be defined asWherein, ζiFor the sensing
The perception value of the physiological parameter of device monitoring nodes,For the normal value of the physiological parameter, thenIt is the data of acquisition
Relative fluctuation reflects the abnormality of data, τiFor the energy that the sensor node has consumed, τ0For the first of sensor node
Beginning energy, thenReflect the energy efficiency of the node.When sensor node collects abnormal data, the node can preferentially with
Higher rate sending data, to improve the real-time of abnormal data transmission, and the energy consumption for working as sensor node is larger, and does not have
When especially abnormal data need to send, which can reduce priority, by reducing message transmission rate come energy saving.Value
It is noted that the expression formula of the above priority for being used to define sensor node is the example that the present invention uses, other can be with
Reflect that the expression formula of this rule also may be used.
The technical solution adopted by the present invention includes the following steps:
The first step, information are collected；Coordinator C in net collects the information of all m sensor nodes in Home Network, specific to wrap
Include the minimum data transmission rate requirements r of i-th of sensor nodei,min, priority θiAnd effectiveness gain λi,
Second step, this smooth Frederick Colberg game and price；Biography under the limitation of network capacity S, in coordinator and same net
Sensor node carries out this smooth Frederick Colberg game, and coordinator is as the leader in game, by for sensor each in Home Network
The message transmission rate of node formulates best price to maximize the income of oneself, wherein the revenue function of coordinator is
Wherein ciIt is coordinator C to Home Network inner sensor node siData rate formulate price, riFor node siNumber
According to transmission rate, then coordinator is sensor node siThe best price of formulation is
Wherein, m sensor node in the body area network is according to following sequence permutation:
And in above formula
Third step transmits Developing Tactics；As the follower in game, each sensor node is by maximizing itself
Utility function obtains the best receptance function to rate price, to acquire respective optimal data transmission rate, wherein sensing
Device node siUtility function is defined as:
And then the best receptance function for finding out the node is as follows:
Wherein, ri *For sensor node siOptimal data transmission rate.
Known to comprehensive analysis above formula (2) and (4), on the one hand, the data rate and the node that sensor node obtains
Priority correlation, thus guarantee abnormal data transmission real-time and node energy efficiency.On the other hand, pass through
To make the available higher data rate of the node to the lower price of the higher node formulation of data transmission rate requirements,
To guarantee physiological parameter different in net to the diversity requirement of message transmission rate.
Detailed description of the invention
Fig. 1 is the flow chart that the present invention is implemented.
Fig. 2 is system model schematic diagram.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
The solution proposed the present invention be directed to the data rate allocation problem in wireless body area network, overall procedure
Figure is shown in attached drawing 1.The present embodiment is based on system model figure as shown in Figure 2, i.e. sensor node quantity in body area network is m=
3.Specific implementation step is as follows:
The first step, information are collected；Coordinator C collects i-th of sensor node s in Home NetworkiMinimum data transmission rate
Demand ri,min, priority θiAnd effectiveness gain λi,Information.
Second step, this smooth Frederick Colberg game and price；Biography under the limitation of network capacity S, in coordinator and same net
Sensor node carries out this smooth Frederick Colberg game, and wherein the utility function of game participant is defined as follows.
As the leader in game, the revenue function of coordinator C is defined as:Wherein ciFor coordinator
C is to Home Network inner sensor node siData rate formulate price, riFor node siMessage transmission rate.
As the follower in game, sensor node siUtility function is defined as:
Wherein, θiFor sensor node siPriority, riFor sensor node siData rate, ri,minIt is the node to data speed
The minimum essential requirement of rate, thenThe node is reflected to the satisfaction of the data rate of acquisition, and the satisfaction is brought
Effectiveness gain be λi.The income of first part's representative of the utility function of sensor node node, second part representative obtain
Obtain the cost that this income needs to pay.
From defined above as can be seen that the data rate of sensor node is the function of price, therefore, stackelberg
Equilibrium solution can be acquired by reverse induction.Firstly, the utility function of maximum node, i.e.,
Sensor node s can be obtained by solving the above optimization problemiBest receptance function to any price is
Then, under the limitation of network capacity S, best receptance function of the coordinator according to sensor node passes through maximum
The revenue function for changing oneself obtains optimal pricing strategy, and Optimized model is as follows:
Solving the above optimization problem and can obtaining coordinator is Home Network inner sensor node siThe best price of formulation is
Wherein, m=3, and meet between three sensor nodes in the netAnd above formula
In
Third step transmits Developing Tactics；As the follower in game, each sensor node lattice according to the price it is best
Receptance functionAcquire the optimal data transmission rate of oneself.
In summary, the present invention provides data rate tune in the wireless body area network based on this smooth Frederick Colberg betting model
Perfect square case meets difference by comprehensively considering the isomerism of the physiological data of sensor node acquisition and the priority of node
The diversified demand of the defeated rate of data mutual transmission, and the real-time of abnormal data transmission is improved, extend network life.
Claims (4)
1. method of rate allocation in a kind of wireless body area network based on this smooth Frederick Colberg game, which is characterized in that firstly, conduct
The coordinator of leader (leader) passes through the message transmission rate system for each sensor node under the limitation of network capacity
Best price is determined to maximize the income of oneself；Then, as the sensor node of follower (follower) lattice according to the price
Best receptance function obtain respective optimal data transmission rate, to obtain higher satisfaction with lesser cost.
2. the method according to claim 1, wherein in this smooth Frederick Colberg game, the effectiveness letter of coordinator
Number is defined asWherein ciIt is coordinator C to Home Network inner sensor node siData rate formulate price, ri
For sensor node siMessage transmission rate, m be net inner sensor node quantity.
3. method according to claims 1 and 2, which is characterized in that in this smooth Frederick Colberg game, sensor node si
Utility function be defined asWherein λiFor sensor node siSatisfaction to data rate
Spend the gain of bring effectiveness, θiFor the priority of the sensor node, ri,minIt is the node to the minimum essential requirement of data rate.
4. according to claim 1, method described in 2,3, which is characterized in that coordinator is with the sensor node s in neti,i∈
The best price that { 1,2 ..., m } are formulated is
Wherein, the sensor node in net is according to following sequence permutation:And in above formulaS is available network capacity.Into
One step, sensor node si, the best receptance function of i ∈ { 1,2 ..., m } is
Wherein, ri *For sensor node siOptimal data transmission rate.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021099895A1 (en) * | 2019-11-20 | 2021-05-27 | International Business Machines Corporation | Transmission frequency management for edge devices of an interconnected distributed network |
| CN112953649A (en) * | 2021-01-29 | 2021-06-11 | 江苏大学 | Wireless body area network QoS optimization method based on utility function |
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2018
- 2018-10-18 CN CN201811213858.0A patent/CN109413698A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021099895A1 (en) * | 2019-11-20 | 2021-05-27 | International Business Machines Corporation | Transmission frequency management for edge devices of an interconnected distributed network |
| US11153212B2 (en) | 2019-11-20 | 2021-10-19 | International Business Machines Corporation | Transmission frequency management for edge devices of an interconnected distributed network |
| CN114731516A (en) * | 2019-11-20 | 2022-07-08 | 国际商业机器公司 | Transmission frequency management for edge devices interconnecting distributed networks |
| GB2605524A (en) * | 2019-11-20 | 2022-10-05 | Ibm | Transmission frequency management for edge devices of an interconnected distributed network |
| CN112953649A (en) * | 2021-01-29 | 2021-06-11 | 江苏大学 | Wireless body area network QoS optimization method based on utility function |
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Application publication date: 20190301 |