WO2020006666A1 - 无线体域网的通信模式切换方法及装置 - Google Patents

无线体域网的通信模式切换方法及装置 Download PDF

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WO2020006666A1
WO2020006666A1 PCT/CN2018/094112 CN2018094112W WO2020006666A1 WO 2020006666 A1 WO2020006666 A1 WO 2020006666A1 CN 2018094112 W CN2018094112 W CN 2018094112W WO 2020006666 A1 WO2020006666 A1 WO 2020006666A1
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service
communication mode
communication
energy efficiency
wbans
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PCT/CN2018/094112
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French (fr)
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孙方敏
李烨
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中国科学院深圳先进技术研究院
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Priority to PCT/CN2018/094112 priority Critical patent/WO2020006666A1/zh
Publication of WO2020006666A1 publication Critical patent/WO2020006666A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition

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  • the present application relates to the technical field of wireless body area networks, and in particular, to a method and a device for switching a communication mode of a wireless body area network.
  • WBANs wireless body area networks
  • WBANs are important technical means for the collection and transmission of life information, with outstanding characteristics of business diversity and service differentiation.
  • the nodes in WBANs are also typical resource-constrained devices. Energy consumption has become the biggest bottleneck in their long-term work.
  • Commonly used communication methods for wireless body area networks include newly developed human body communication (Human Body Communication, HBC) and traditional near human body wireless communication. Multiple implementation modes of these two communication methods are applied to different communications. When demanding wireless body area network services, there are significant differences in energy efficiency. However, due to the lack of research on the matching relationship between communication modes and service characteristics, WBANs still use a single communication mode to meet the different communication needs of various services, and cannot optimize the configuration of system energy consumption and communication quality.
  • HBC Human Body Communication
  • the object of the present application is to provide a communication mode switching method and device for a wireless body area network, which can switch the communication mode in real time, reduce energy consumption and improve communication quality.
  • an embodiment of the present application provides a method for switching a communication mode of a wireless body area network.
  • the method is applied to a controller of a wireless body area network WBANs, and includes: obtaining service characteristics of the current WBANs.
  • the service characteristics include service parameter information and Communication demand information; input service characteristics into a pre-trained service classification model to obtain the current WBANs service category; determine the optimal communication mode corresponding to the service category based on the correspondence between the service category, the pre-established service category, and the optimal communication mode ; Switch the current WBANs communication mode to the optimal communication mode.
  • the process of establishing a business classification model includes: selecting multiple WBANs services as cluster samples; extracting business characteristics of each cluster sample; clustering business characteristics by a clustering algorithm to establish a business classification model.
  • the correspondence relationship between the service category and the optimal communication mode is established by: obtaining the communication demand information of the WBANs business, establishing the constraint conditions that meet the communication service quality requirements; establishing the energy efficiency according to the near-body wireless communication energy efficiency model and the human communication energy efficiency model Objective function; According to the energy efficiency objective function, establish the energy efficiency optimization equations that satisfy the constraints; solve the energy efficiency optimization equations to determine the communication mode with the highest energy efficiency; use the communication mode with the highest energy efficiency as the optimal communication corresponding to the service category of the WBANs mode.
  • the correspondence relationship between the service category and the optimal communication mode is established by: obtaining the communication demand information of the WBANs business, establishing the constraint conditions that meet the communication service quality requirements; establishing the energy efficiency according to the near-body wireless communication energy efficiency model and the human communication energy efficiency model Objective function: Establish key objective function based on key indicator information of WBANs business; establish multi-objective optimization equations based on energy efficiency objective function and key indicator objective function; solve multi-objective optimization equations to determine optimal communication mode; The optimal communication mode is taken as the optimal communication mode corresponding to the service category of the WBANs service.
  • the method further includes the step of establishing a human communication energy efficiency model.
  • the step of establishing a human communication energy efficiency model includes: establishing a human body channel transmission model of a capacitive coupling method through cascade circuit analysis; selecting a modulation and coding method according to the requirements of human communication; Calculate RF energy consumption with coding method and bit error rate formula; calculate circuit energy consumption based on RF circuit architecture and power amplifier information; determine the energy efficiency model of human communication based on RF energy consumption and circuit energy consumption.
  • the above method further includes the step of establishing an energy efficiency model of near human body communication.
  • the step of establishing an energy efficiency model of near human body communication includes: establishing a channel transmission model of near human body wireless communication through finite element simulation; and selecting modulation and coding based on the requirements of near human body communication Method; calculate the RF energy consumption according to the modulation method and coding method and the bit error rate formula; calculate the circuit energy consumption according to the RF circuit architecture and power amplifier information; determine the human body communication energy efficiency model by combining the RF energy consumption and the circuit energy consumption.
  • determining the optimal communication mode corresponding to the service category according to the corresponding relationship between the service category, the pre-established service category, and the optimal communication mode includes: obtaining a mapping table of the pre-established service category and the optimal communication mode; Find the optimal communication mode corresponding to the service category in the table; determine the optimal communication mode as the optimal communication mode corresponding to the service category.
  • an embodiment of the present application further provides a wireless body area network communication mode switching device.
  • the device is applied to a controller of a wireless body area network WBANs, and includes a service feature acquisition module configured to obtain service features of the current WBANs.
  • the service characteristics include service parameter information and communication demand information;
  • the service category identification module is configured to input the service characteristics into a pre-trained service classification model to obtain the service category of the current WBANs;
  • the communication mode determination module is configured to The established correspondence between the service category and the optimal communication mode determines the optimal communication mode corresponding to the service category;
  • the communication mode switching module is configured to switch the current WBANs communication mode to the optimal communication mode.
  • the device further includes a classification module; the classification module is configured to select a plurality of WBANs services as a cluster sample; extract the service characteristics of each cluster sample; cluster the service characteristics by a clustering algorithm to establish a service classification model.
  • the device further includes a relationship establishing module; the relationship establishing module is configured to: obtain communication demand information of WBANs services, establish constraints that meet communication service quality requirements; establish energy efficiency according to the near-body wireless communication energy efficiency model and the human body communication energy efficiency model Objective function; According to the energy efficiency objective function, establish the energy efficiency optimization equations that satisfy the constraints; solve the energy efficiency optimization equations to determine the communication mode with the highest energy efficiency; use the communication mode with the highest energy efficiency as the optimal communication corresponding to the business category of the WBANs business mode.
  • the relationship establishing module is configured to: obtain communication demand information of WBANs services, establish constraints that meet communication service quality requirements; establish energy efficiency according to the near-body wireless communication energy efficiency model and the human body communication energy efficiency model Objective function; According to the energy efficiency objective function, establish the energy efficiency optimization equations that satisfy the constraints; solve the energy efficiency optimization equations to determine the communication mode with the highest energy efficiency; use the communication mode with the highest energy efficiency as the optimal communication corresponding to the business category of the WBANs business mode.
  • the method and device for switching the communication mode of a wireless body area network provided in the embodiments of the present application, monitor the service characteristics of the current WBANs online, determine the service category of the current WBANs through the service characteristics, and determine the corresponding optimal communication mode.
  • the communication mode is switched to the optimal communication mode, so that the optimal communication mode can be adaptively selected according to the communication needs, and the double guarantee of low energy consumption and high transmission quality is achieved.
  • FIG. 1 is a schematic flowchart of a method for switching a communication mode of a wireless body area network according to an embodiment of the present application
  • FIG. 2 is a flowchart of WBANs service classification and communication needs analysis according to an embodiment of the present application
  • FIG. 3 is a schematic flowchart of another method for switching a communication mode of a wireless body area network according to an embodiment of the present application
  • FIG. 4 is a schematic diagram of a hybrid communication structure of an implantable device according to an embodiment of the present application.
  • FIG. 5 is a schematic diagram of a simulation experiment result provided by an embodiment of the present application.
  • FIG. 6 is a schematic diagram of a communication mode switching device for a wireless body area network according to an embodiment of the present application.
  • the first embodiment of the present application provides a communication mode switching method of a wireless body area network, which is applied to a controller of a wireless body area network WBANs.
  • a communication mode switching method of a wireless body area network shown in FIG. 1, the method includes the following steps:
  • Step S102 Obtain service characteristics of the current WBANs.
  • the service characteristics include service parameter information and communication demand information.
  • the current WBANs can be any kind of WBANs business, such as family chronic disease monitoring, real-time monitoring of cardiovascular disease, exercise monitoring, or audio and video transmission; business parameter information can include data transmission distance, node deployment location, data size, and Macro characteristic values of services such as data transmission cycle; communication demand information may include service thresholds for indicators such as bit error rate, delay, jitter, and bandwidth that are set according to actual communication needs.
  • WBANs service When the WBANs service is running, the WBANs service can be monitored online in real time to obtain its service characteristics.
  • step S104 the service features are input into a pre-trained service classification model to obtain the service category of the current WBANs.
  • the business classification model is trained by training samples of WBANs services, and an online classification algorithm is established, which can realize real-time real-time WBANs services classification.
  • the business characteristics of the current WBANs can be input into the business classification model, and the online business classification can be performed through the classification algorithm.
  • Step S106 Determine the optimal communication mode corresponding to the service category according to the service category, the correspondence relationship between the pre-established service category, and the optimal communication mode.
  • an optimization equation with energy efficiency and / or other optimization goals as the objective function and communication requirements as the constraint conditions is established.
  • the equations are solved to obtain the optimization that meets the constraint conditions.
  • Value and related parameter values of the communication system under the optimal value condition thereby determining the optimal communication mode.
  • the correspondence relationship between the service category and the optimal communication mode is established in advance. When judging the communication mode of the current WBANs, the above-mentioned correspondence relationship can be used to find the optimal communication mode.
  • the optimal communication mode corresponding to the service category can be determined in the following manner: obtaining a mapping table of the pre-established service category and the optimal communication mode, looking for the optimal communication mode corresponding to the service category in the mapping table, and changing the optimal communication mode Determine the optimal communication mode corresponding to the service category.
  • step S108 the communication mode of the current WBANs is switched to the optimal communication mode.
  • WBANs can control the communication modes of devices such as the acquisition terminal and the receiving terminal for data transmission in accordance with the optimal communication mode, and can achieve the double guarantee of low energy consumption and high communication quality.
  • the wireless body area network communication mode switching method monitors the service characteristics of the current WBANs online, determines the service category of the current WBANs through the service characteristics, and determines the corresponding optimal communication mode, and changes the current WBANs communication mode.
  • the optimal communication mode can be adaptively selected according to the communication requirements, and the double guarantee of low energy consumption and high transmission quality is achieved.
  • the establishment process of the above business classification model can be performed according to the following steps:
  • Extract the business characteristics of each cluster sample Extract the service's macro characteristics such as data transmission distance, node deployment location, data size, and data transmission period, and set the service's communication demand threshold for indicators such as bit error rate, delay, jitter, and bandwidth based on actual communication needs.
  • the K-means clustering algorithm is used to classify the service characteristics and communication requirements reasonably. It can be understood that other clustering algorithms suitable for the foregoing data may also be used for classification, which is not limited in this embodiment.
  • Establish an online classification model and establish a mapping relationship between service feature types and communication requirements.
  • new services can be input and online business classification can be performed through a decision tree classification algorithm.
  • FIG. 2 shows that: first, through typical service samples, the characteristics of transmission distance, periodicity, and data volume are extracted, and the bit error rate, delay, and Threshold analysis such as jitter; secondly, train the business classification model through the offline clustering algorithm and the online classification algorithm; when real-time business data is input, use the online classification algorithm to classify the real-time service online to get its service type and communication demand.
  • the energy efficiency objective function is established based on the near-body wireless communication energy efficiency model and the human body communication energy efficiency model.
  • the communication mode with the highest energy efficiency is taken as the optimal communication mode corresponding to the service category of the WBANs service.
  • the optimal solution under different communication modes and the system parameters under the optimal solution can be optimized again, and the solutions with low radiated power and low circuit implementation complexity can be screened.
  • the optimization algorithm of the previous step there is an optimal solution of E i_min for different communication modes. If N communication modes are added, then
  • the energy efficiency objective function is established based on the near-body wireless communication energy efficiency model and the human body communication energy efficiency model.
  • the key indicator objective function refers to the optimized objective function of key communication indicators, such as : Minimize (T delay ), minimize (BER).
  • E i_min mnimize [E i (C mode ) && minimize (T delay )
  • the optimal communication mode is taken as the optimal communication mode corresponding to the service category of the WBANs service.
  • the human body communication channel transmission model of capacitive coupling is established by cascade circuit analysis.
  • the human channel transmission model can be expressed as:
  • the modulation and coding methods suitable for human communication are screened, mainly including the modulation methods such as BPSK, FSK and OOK. 0 according to the relationship between different modulation methods BER error correction coding scheme and the E b / N, calculating a function of the relationship between the BER and E b N 0.
  • the relationship between bit error rate and energy consumption per bit is:
  • R b in the formula is a data transmission bit rate.
  • P A1 P DAC + P AF + P mixer + P PA + P RFF
  • P DAC is the power consumption of the analog-to-digital converter
  • P AF is the power consumption of the analog filter
  • P mixer is the power consumption of the mixer
  • P PA is the power consumption of the RF power amplifier
  • P RFF is the power consumption of the RF filter. Power consumption.
  • the above parameters are generally constant or have a known power consumption model in a specific circuit system.
  • the channel transmission model of near-human wireless communication is established by finite element simulation.
  • the modulation and coding methods suitable for near-human body wireless communication are selected, including OQPSK (offset four-phase phase shift keying), GFSK (Gaussian frequency shift keying), and IR-UWB (pulse Radio ultra-wideband), and MB-OFDM (multi-band orthogonal frequency division multiplexing) and other modulation methods;
  • OQPSK offset four-phase phase shift keying
  • GFSK Gausian frequency shift keying
  • IR-UWB pulse Radio ultra-wideband
  • MB-OFDM multi-band orthogonal frequency division multiplexing
  • the signal P t2 transmitted by the transceiver is obtained from E b and the channel transmission characteristics.
  • P A2 power amplifier energy efficiency model
  • the method for switching the communication mode of the wireless body area network provided by the embodiment of the present application firstly studies the relationship between the service characteristics of WBANs and the communication mode: the macro service characteristics of the WBANs including the amount of data, the transmission distance, and the transmission cycle are determined by pattern recognition technology It also classifies the communication demand characteristics such as delay and bit error rate, and solves the optimization equation to establish the mapping relationship between the service WBANs service characteristics and the communication mode with the best energy efficiency. It provides an energy-efficient communication scheme in the hybrid communication mode.
  • Embodiment 2 of the present application provides a method for transmitting energy-efficient data of a wireless body area network.
  • FIG. 3 a schematic flowchart of a method for switching a communication mode of a wireless body area network is shown, in which:
  • the energy efficiency model refers to the energy efficiency model of the above-mentioned hybrid communication mode.
  • the embodiment of the present application also adopts the low energy of the mixed communication mode of implantable devices (which can be implantable brain stimulators, cardiac pacemakers, cochlear implants or intestinal endoscopes, etc., in this embodiment).
  • implantable devices which can be implantable brain stimulators, cardiac pacemakers, cochlear implants or intestinal endoscopes, etc., in this embodiment.
  • the data transmission scheme is simulated.
  • the implanted device chooses to directly transmit data to the target node or transmit the data to the relay node first according to the transmission distance, and then the relay node transmits the data to the target node through human body communication.
  • FIG. 4 shows the implantable device, the intermediate device, and the receiving device.
  • the implanted node or target node changes with the change of the human posture or the detection position.
  • the horizontal axis is the transmission distance (m), and the vertical axis is the energy consumption per bit (10 -8 J), where the solid line on the lower side represents the MICS + HBC hybrid communication mode. Energy consumption.
  • the upper solid line indicates the energy consumption under the MICS (Mobile Information Service Center) single communication mode.
  • the third embodiment of the present application provides a communication mode switching device for a wireless body area network.
  • the device should be configured as a controller of the wireless body area network WBANs. Refer to the schematic diagram of the communication mode switching device of the wireless body area network shown in FIG. 6. ,include:
  • a service feature acquisition module 602 is configured to obtain service features of the current WBANs, and the service features include service parameter information and communication demand information;
  • the service category recognition module 604 is configured to input service features into a pre-trained service classification model to obtain the service category of the current WBANs;
  • the communication mode determination module 606 is configured to determine an optimal communication mode corresponding to a service category according to a service category, a correspondence relationship between a pre-established service category, and an optimal communication mode;
  • the communication mode switching module 608 is configured to switch the communication mode of the current WBANs to an optimal communication mode.
  • the vertical mode of the communication mode of the wireless body area network is to switch the vertical axis of the wireless body area network, monitor the service characteristics of the current WBANs online, determine the service category of the current WBANs through the service characteristics, and determine the corresponding optimal communication mode to communicate the current WBANs.
  • the mode is switched to the optimal communication mode, so that the optimal communication mode can be adaptively selected according to the communication needs, and the double guarantee of low energy consumption and high transmission quality is achieved.
  • the device further includes a classification module configured to: select multiple WBANs services as cluster samples; extract the service characteristics of each cluster sample; and cluster the service characteristics by a clustering algorithm To establish a business classification model.
  • a classification module configured to: select multiple WBANs services as cluster samples; extract the service characteristics of each cluster sample; and cluster the service characteristics by a clustering algorithm To establish a business classification model.
  • the above-mentioned device further includes a relationship establishing module configured to: obtain communication requirement information of WBANs services, establish constraints that meet communication service quality requirements; and according to the near-body wireless communication energy efficiency model and the human body
  • the communication energy efficiency model establishes an energy efficiency objective function; according to the energy efficiency objective function, establishes an energy efficiency optimization equation set that satisfies the constraints; solves the energy efficiency optimization equation set to determine the communication mode with the highest energy efficiency; and uses the communication mode with the highest energy efficiency as the business category of the WBANs business Corresponding optimal communication mode.
  • the corresponding relationship between the above service categories and the optimal communication mode is established by: obtaining the communication demand information of WBANs business, establishing constraints that meet the communication service quality requirements; establishing an energy efficiency objective function according to the near-body wireless communication energy efficiency model and the human communication energy efficiency model ; Establish key objective function according to key indicator information of WBANs business; establish multi-objective optimization equation set according to energy efficiency objective function and key index objective function; solve multi-objective optimization equation set to determine optimal communication mode;
  • the optimal communication mode is the optimal communication mode corresponding to the service category of the WBANs service.
  • the device further includes a first energy efficiency model module configured to: establish a human body channel transmission model in a capacitive coupling manner through cascade circuit analysis; and select modulation and Coding method; Calculate radio frequency energy consumption by modulation and coding method and bit error rate formula; calculate circuit energy consumption based on radio frequency circuit architecture and power amplifier information; determine radio frequency energy consumption and circuit energy consumption model for human communication energy efficiency.
  • a first energy efficiency model module configured to: establish a human body channel transmission model in a capacitive coupling manner through cascade circuit analysis; and select modulation and Coding method; Calculate radio frequency energy consumption by modulation and coding method and bit error rate formula; calculate circuit energy consumption based on radio frequency circuit architecture and power amplifier information; determine radio frequency energy consumption and circuit energy consumption model for human communication energy efficiency.
  • the device further includes a second energy efficiency model module configured to: establish a channel transmission model of near-human body wireless communication through finite element simulation; and select modulation and Coding method; calculating radio frequency energy consumption according to modulation method, coding method and bit error rate formula; calculating circuit energy consumption according to radio frequency circuit architecture and power amplifier information; determining radio frequency energy consumption and circuit energy consumption to determine human body communication energy efficiency model.
  • a second energy efficiency model module configured to: establish a channel transmission model of near-human body wireless communication through finite element simulation; and select modulation and Coding method; calculating radio frequency energy consumption according to modulation method, coding method and bit error rate formula; calculating circuit energy consumption according to radio frequency circuit architecture and power amplifier information; determining radio frequency energy consumption and circuit energy consumption to determine human body communication energy efficiency model.
  • the above-mentioned communication mode determination module 606 is further configured to: obtain a mapping table of a pre-established service category and an optimal communication mode; find the optimal communication mode corresponding to the service category in the mapping table; and determine the optimal communication mode as the service category Corresponding optimal communication mode.
  • This embodiment also provides a computer-readable storage medium.
  • the computer-readable storage medium stores a computer program, and when the computer program is run by a processor, executes the steps of the method provided by the foregoing embodiment.
  • This embodiment also provides a computer program, which can be stored on a cloud or local storage medium.
  • the computer program When executed by a computer or a processor, it is configured to perform the corresponding steps of the method provided by the foregoing embodiments.
  • a computer program product for a method and device for switching a communication mode of a wireless body area network includes a computer-readable storage medium storing program code, and the instructions included in the program code can be configured to execute the foregoing method.
  • the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application.
  • the foregoing storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks and other media that can store program codes .

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Abstract

本申请提供了一种无线体域网的通信模式切换方法及装置，涉及无线体域网技术领域，该方法包括：获取当前WBANs的业务特征，业务特征包括业务参数信息和通信需求信息；将业务特征输入至预先训练的业务分类模型，得到当前WBANs的业务类别；根据业务类别、预先建立的业务类别与最优通信模式的对应关系，确定业务类别对应的最优通信模式；将当前WBANs的通信模式切换为最优通信模式。本申请实施例提供的无线体域网的通信模式切换方法及装置，可以根据通信需求自适应选择最优的通信模式，实现了低能耗和高传输质量的双重保障。

Description

无线体域网的通信模式切换方法及装置 技术领域
本申请涉及无线体域网技术领域，尤其是涉及一种无线体域网的通信模式切换方法及装置。
背景技术
在当今技术发展的驱动下，为解决社会对高质量且低成本医疗保健的需求而出现并迅速发展的无线体域网(Wireless body area networks，WBANs)有着广阔的应用前景。WBANs是生命信息采集与传输的重要技术手段，具有业务多样性和服务差异化的突出特点，同时WBANs中的节点也是典型的资源受限型设备，能耗成为其长期工作中最大的瓶颈，也是制约WBAN发展的关键因素之一。
无线体域网常用的通信手段包括新近发展起来的以人体作为通信媒介的人体通信(Human body communication，HBC)和传统的近人体无线通信，此两种通信方式的多种实现模式应用于不同通信需求的无线体域网业务时，能效有显著差异。然而由于缺少对通信模式与业务特征之间匹配关系的研究，当前WBANs仍采用单一通信模式来应对多种业务差异化的通信需求，无法对系统能耗和通信质量进行优化配置。
发明内容
有鉴于此，本申请的目的在于提供一种无线体域网的通信模式切换方法及装置，可以实时切换通信模式，降低能耗并提高通信质量。
第一方面，本申请实施例提供了一种无线体域网的通信模式切换方法，方法应用于无线体域网WBANs的控制器，包括：获取当前WBANs的业务特征，业务特征包括业务参数信息和通信需求信息；将业务特征输入至预先训练的业务分类模型，得到当前WBANs的业务类别；根据业务类别、预先建立的业务类别与最优通信模式的对应关系，确定业务类别对应的最优通信模式；将当前WBANs的通信模式切换为最优通信模式。
进一步地，业务分类模型的建立过程包括：选择多个WBANs业务作为聚类样本；提取每个聚类样本的业务特征；通过聚类算法对业务特征进行聚类，建立业务分类模型。
进一步地，业务类别与最优通信模式的对应关系通过以下方式建立：获取WBANs业务的通信需求信息，建立满足通信服务质量需求的约束条件；根据近人体无线通信能效模型和人体通信能效模型建立能效目标函数；根据能效目标函数建立满足约束条件的能效最优化方程组；对能效最优化方程组求解，确定能效最高的通信模式；将能效最高的通信模式作为WBANs业务的业务类别对应的最优通信模式。
进一步地，业务类别与最优通信模式的对应关系通过以下方式建立：获取WBANs业 务的通信需求信息，建立满足通信服务质量需求的约束条件；根据近人体无线通信能效模型和人体通信能效模型建立能效目标函数；根据WBANs业务的关键指标信息，建立关键指标目标函数；根据能效目标函数和关键指标目标函数，建立多目标最优化方程组；对多目标最优化方程组求解，确定最优通信模式；将最优通信模式作为WBANs业务的业务类别对应的最优通信模式。
进一步地，还包括建立人体通信能效模型的步骤，建立人体通信能效模型的步骤包括：通过级联电路分析建立电容耦合方式的人体信道传输模型；根据人体通信的要求选择调制与编码方式；由调制与编码方式和误码率公式计算射频能耗；根据射频电路架构和功率放大器信息，计算电路能耗；结合射频能耗和电路能耗确定人体通信能效模型。
进一步地，上述方法还包括建立近人体通信能效模型的步骤，建立近人体通信能效模型的步骤包括：通过有限元仿真建立近人体无线通信的信道传输模型；基于近人体通信的要求选择调制与编码方式；根据调制方式与编码方式及误码率公式计算射频能耗；根据射频电路架构和功率放大器信息，计算电路能耗；结合射频能耗和电路能耗确定人体通信能效模型。
进一步地，根据业务类别、预先建立的业务类别与最优通信模式的对应关系，确定业务类别对应的最优通信模式，包括：获取预先建立的业务类别与最优通信模式的映射表；在映射表中查找业务类别对应的最优通信模式；将最优通信模式确定为业务类别对应的最优通信模式。
第二方面，本申请实施例还提供了一种无线体域网的通信模式切换装置，装置应用于无线体域网WBANs的控制器，包括：业务特征获取模块，配置成获取当前WBANs的业务特征，业务特征包括业务参数信息和通信需求信息；业务类别识别模块，配置成将业务特征输入至预先训练的业务分类模型，得到当前WBANs的业务类别；通信模式确定模块，配置成根据业务类别、预先建立的业务类别与最优通信模式的对应关系，确定业务类别对应的最优通信模式；通信模式切换模块，配置成将当前WBANs的通信模式切换为最优通信模式。
进一步地，该装置还包括分类模块；该分类模块，配置成选择多个WBANs业务作为聚类样本；提取每个聚类样本的业务特征；通过聚类算法对业务特征进行聚类，建立业务分类模型。
进一步地，该装置还包括关系建立模块；该关系建立模块配置成：获取WBANs业务的通信需求信息，建立满足通信服务质量需求的约束条件；根据近人体无线通信能效模型和人体通信能效模型建立能效目标函数；根据能效目标函数建立满足约束条件的能效最优化方程组；对能效最优化方程组求解，确定能效最高的通信模式；将能效最高的通信模式 作为WBANs业务的业务类别对应的最优通信模式。
本申请实施例提供的无线体域网的通信模式切换方法及装置，在线监控当前WBANs的业务特征，通过业务特征确定当前WBANs的业务类别，并确定其对应的最优通信模式，将当前WBANs的通信模式切换至该最优通信模式，从而可以根据通信需求自适应选择最优的通信模式，实现了低能耗和高传输质量的双重保障。
本公开的其他特征和优点将在随后的说明书中阐述，或者，部分特征和优点可以从说明书推知或毫无疑义地确定，或者通过实施本公开的上述技术即可得知。
为使本公开的上述目的、特征和优点能更明显易懂，下文特举较佳实施例，并配合所附附图，作详细说明如下。
附图说明
为了更清楚地说明本申请具体实施方式或现有技术中的技术方案，下面将对具体实施方式或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图是本申请的一些实施方式，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本申请实施例提供的一种无线体域网的通信模式切换方法的流程示意图；
图2为本申请实施例提供的WBANs业务分类及通信需求分析的流程图；
图3为本申请实施例提供的另一种无线体域网的通信模式切换方法的流程示意图；
图4为本申请实施例提供的植入式设备混合通信结构示意图；
图5为本申请实施例提供的仿真实验结果的示意图；
图6为本申请实施例提供的一种无线体域网的通信模式切换装置的示意图。
具体实施方式
为使本申请实施例的目的、技术方案和优点更加清楚，下面将结合附图对本申请的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
考虑到现有无线体域网的数据传输方式，存在无法适应无线体域网的多样化的业务特征及通信需求的问题，为改善此问题，本申请实施例提供的一种无线体域网数据传输方法及装置，下面结合附图，对本申请的具体实施方式作详细说明。
实施例一
本申请实施例一提供了一种无线体域网的通信模式切换方法，应用于无线体域网WBANs的控制器。参见图1所示的无线体域网的通信模式切换方法的流程示意图，该方法包括如下步骤：
步骤S102，获取当前WBANs的业务特征。该业务特征包括业务参数信息和通信需求信息。
其中，当前WBANs可以是任意一种WBANs业务，例如家庭老年人慢性病监测、心血管疾病实时监测、运动量监测或音视频传输等；业务参数信息可以包括数据传输距离、节点部署位置、数据量大小和数据发送周期等业务的宏观特征值；通信需求信息可以包括根据实际通信需求设定的业务对误码率、时延、抖动和带宽等指标的需求阈值。在WBANs业务运行时，可以通过实时在线监测WBANs业务，获取其业务特征。
步骤S104，将业务特征输入至预先训练的业务分类模型，得到当前WBANs的业务类别。
通过模式识别技术对多样性的WBANs业务的上述业务特征进行分类，可以采用现有的聚类分类方式，通过WBANs业务的训练样本训练业务分类模型，建立在线分类算法，可以实现对WBANs业务的实时分类。可以将上述当前WBANs的业务特征，输入上述业务分类模型，通过其中的分类算法进行在线业务分类。
步骤S106，根据业务类别、预先建立的业务类别与最优通信模式的对应关系，确定业务类别对应的最优通信模式。
根据无线体域网特定业务类型下的通信需求，建立以能效和/或其他优化目标为目标函数，以通信需求为约束条件的最优化方程，通过对方程进行求解，得到满足约束条件的最优化值及最优值情况下的通信系统相关参数值，从而确定最优通信模式。预先建立业务类别与最优通信模式的对应关系，在对当前WBANs进行通信模式判断时，可以通过上述对应关系查找到最优通信模式。
例如，可以按照以下方式确定业务类别对应的最优通信模式：获取预先建立的业务类别与最优通信模式的映射表，在映射表中查找业务类别对应的最优通信模式，将最优通信模式确定为业务类别对应的最优通信模式。
步骤S108，将当前WBANs的通信模式切换为最优通信模式。
当前WBANs可以按照该最优通信模式，控制采集终端和接收终端等装置的通信方式，进行数据传输，可以实现低能耗和高通信质量的双重保障。
本申请实施例提供的无线体域网的通信模式切换方法，在线监控当前WBANs的业务特征，通过业务特征确定当前WBANs的业务类别，并确定其对应的最优通信模式，将当前WBANs的通信模式切换至该最优通信模式，从而可以根据通信需求自适应选择最优的通信模式，实现了低能耗和高传输质量的双重保障。
上述业务分类模型的建立过程可以按照以下步骤执行：
(1)选择多个WBANs业务作为聚类样本。选取一定数量的典型WBANs业务，可以 包括常见的家庭老年人慢性病监测、心血管疾病实时监测、运动量监测和音视频传输等作为聚类样本。
(2)提取每个聚类样本的业务特征。提取业务的数据传输距离、节点部署位置、数据量大小和数据发送周期等业务的宏观特征，并根据实际通信需求设定业务对误码率、时延、抖动和带宽等指标的通信需求阈值。
(3)通过聚类算法对业务特征进行聚类，建立业务分类模型。
根据业务的宏观特征和通信需求阈值，通过K-means聚类算法对业务特征和通信需求进行合理分类。可以理解的是，还可以采用其他适合上述数据的聚类算法进行分类，本实施例对此不作限定。建立在线分类模型，建立业务特征类型与通信需求之间的映射关系。在对新业务进行分类时，可以将新业务输入，通过决策树分类算法进行在线业务分类。
参见图2所示的WBANs业务分类及通信需求分析的流程图，其中示出了：首先通过典型业务样本，进行传输距离、周期性和数据量等特征的提取，以及误码率、时延和抖动等阈值分析；其次依次通过离线聚类算法和在线分类算法，对业务分类模型进行训练；在输入实时业务数据时，通过该在线分类算法对该实时业务进行在线分类，得到其业务类型和通信需求。
如果仅以能效为目标，上述业务类别与最优通信模式的对应关系通过以下方式建立：
(1)获取WBANs业务的通信需求信息，建立满足通信服务质量需求的约束条件。在对不同类型业务通信需求的基础上，建立满足通信服务质量QoS需求的约束条件。
(2)根据近人体无线通信能效模型和人体通信能效模型建立能效目标函数。
(3)根据能效目标函数建立满足约束条件的能效最优化方程组。建立满足QoS约束条件的能效最优化方程组，QoS指标主要考虑时延T delay，误码率BER和抖动Jitter，对于不同的WBANs业务，设定满足应用需求的QoS指标阈值Tth，BERth和Jitterth，并在QoS约束条件下对不同通信模式下的能效模型E i求解最小值E i_min，C mode为通信模式相关的通信参数；
E i_min＝minimize[E i(C mode)]
s.t.T delay<T th&&BER<BER th&&Jitter<Jitter th
(4)对能效最优化方程组求解，确定能效最高的通信模式。对最优化方程组的求解，针对单目标优化和多目标优化分别采用不同的优化算法。如对能效单目标优化问题研究基于Hessian矩阵的优化算法；对于多元函数多目标优化，可以采用基于人工神经网络、遗传算法、进化规划及其混合算法的优化策略进行最优化问题求解。
(5)将能效最高的通信模式作为WBANs业务的业务类别对应的最优通信模式。确定相应业务特征对应的能效最优化通信模式的相关系统参数设置，建立业务特征与通信模式 之间的映射关系。
在上述最优解的基础上，还可以对不同通信模式下的最优解及最优解下的系统参数进行再次优化，筛选出辐射功率小，电路实现复杂度低的方案。在上一步的优化算法中，针对不同的通信模式都有一个E i_min的最优解，加入有N种通信模式，则
Figure PCTCN2018094112-appb-000001
再次优化即对E i_min求满足约束条件的最小值。
如果同时考虑能效和其他关键指标为目标，业务类别与最优通信模式的对应关系通过以下方式建立：
(1)获取WBANs业务的通信需求信息，建立满足通信服务质量需求的约束条件。
(2)根据近人体无线通信能效模型和人体通信能效模型建立能效目标函数。
对于有关键指标(如时延要求尽可能小以及误码率尽可能低)最优化需求的业务，建立关键指标目标函数，关键指标目标函数是指对通信关键指标的最优化的目标函数，如：minimize(T delay)，minimize(BER)。
(3)根据WBANs业务的关键指标信息，建立关键指标目标函数。
(4)根据能效目标函数和关键指标目标函数，建立多目标最优化方程组。对于某些特殊应用场景，如在心血管疾病高危患者的心电信号传输系统中，除了对能耗最优化外，还需对心电数据传输实时性最优化，需要研究能耗和某项QoS指标的多目标优化问题，多目标最优化方程组如下：
E i_min＝mnimize[E i(C mode)&&minimize(T delay)
s.t.BER<BER th&&Jitter<Jitter th
(5)对上述多目标最优化方程组求解，确定最优通信模式。
(6)将最优通信模式作为WBANs业务的业务类别对应的最优通信模式。
在进行上述建立能效最优化方程，并求解最优化问题之前，还需要建立混合通信模式的能效模型，包括人体通信系统级能效模型和近人体无线通信的系统级能效模型，建立过程具体描述如下：
(1)人体通信系统级能效模型。
通过级联电路分析建立电容耦合方式的人体通信信道传输模型。人体信道传输模型可表示为：
Figure PCTCN2018094112-appb-000002
式中α 0＝371.2dB/m，α 1＝30.4dB/m，PL 0,dB＝35.4，P t指通信系统的发射功率，P r指通信系统的接收功率。
在现有的调制与纠错编码理论中筛选出适合人体通信的调制与编码方式，主要包括BPSK，FSK和OOK等调制方式。根据不同调制方式与纠错编码方式BER与E b/N 0之间的关系，计算E b与BER和N 0之间的函数关系。例如，对于BPSK，误码率与每比特能耗之间的关系式为：
Figure PCTCN2018094112-appb-000003
例如，对于FSK和OOK误码率与每比特能耗之间的关系式为：
Figure PCTCN2018094112-appb-000004
以人体信道模型为基础，由E b1及信道传输特性，求收发机发射出去的信号P t1：
P t1＝PL db*P r＝PL db*(E b*R b)
其中，式中的R b为数据传输比特率。
建立与人体通信调制方式相关的射频电路基本架构，进而结合射频电路中功率放大器的特性与效率，建立综合的功率放大器能效模型P A1：
P A1＝P DAC+P AF+P mixer+P PA+P RFF
式中P DAC为模数转换器的功耗，P AF为模拟滤波器的功耗，P mixer为混频器的功耗，P PA为射频功率放大器的功耗，P RFF为射频滤波器的功耗，上述参数在特定的电路系统中一般为常数或具有已知的功耗模型。
结合发射出去的射频信号能量P t1和电路能耗P A1即为人体通信系统级能效模型：P HBC＝P t1+P A1。
(2)近人体无线通信的系统级能效模型。
通过有限元仿真建立近人体无线通信的信道传输模型。
在现有的调制与编码理论中筛选出适合近人体无线通信的调制与编码方式，主要包括OQPSK(偏移四相相移键控),GFSK(高斯频移键控)，IR-UWB(脉冲无线电超宽带)， 和MB-OFDM(多频带正交频分复用)等调制方式；
Figure PCTCN2018094112-appb-000005
根据不同调制方式与纠错编码方式BER与E b/N 0之间的关系，计算E b与BER和N 0之间的函数关系。以近人体无线信道模型为基础，由E b及信道传输特性，求收发机发射出去的信号P t2。建立与近人体无线通信调制方式相关的射频电路基本架构，进而结合射频电路中功率放大器的特性与效率，建立综合的功率放大器能效模型P A2。具体可以参见上述人体无线通信的系统级能效模型的相应过程。
结合发射出去的射频信号能量P t2和电路能耗P A2即为近人体无线通信系统级能效模型：P RF＝P t2+P A2。
本申请实施例提供的无线体域网的通信模式切换方法，首次研究WBANs业务特征与通信模式之间的关系：通过模式识别技术对WBANs的包括数据量大小、传输距离和传输周期等宏观业务特征及对时延和误码率等通信需求特征进行分类，并通过最优化方程求解建立业务WBANs业务特征与能效最优的通信模式之间的映射关系；提供了混合通信模式下的高能效通信方案：通过实时在线监测WBANs的业务特征和在线分类算法，确定WBANs的业务类型，在线查询WBANs业务类型与能效最优化通信模式之间的映射表，实时切换通信模式，针对无线体域网的多样性的业务特征及差异化的通信需求，可以自适应选择能效最优的通信模式，实现了低能耗和高传输质量的双重保障。
实施例二
本申请实施例二提供了一种无线体域网的高能效数据传输方法，参见图3所示的无线体域网的通信模式切换方法的流程示意图，其中示出了：
(1)通过WBANs业务的通信需求，建立约束函数和关键指标目标函数。
(2)通过能效模型建立目标函数。该能效模型指上述混合通信模式的能效模型。
(3)建立以QoS为约束条件，能效及关键指标为目标函数的最优化方程。
(4)分别通过能效最优的单目标优化算法和能效与某关键指标的多目标优化算法，进行最优化方程的求解。
(5)计算得到能效最优解及相应条件下的通信系统参数。
(6)确定WBAN业务特征与通信模式及QoS之间的映射关系。
本申请实施例还通过对植入式设备(可为植入式脑刺激器、心脏起搏器、人工耳蜗或肠道内窥镜等，本实施例中为肠道内窥镜)混合通信模式的低能耗数据传输方案进行了仿真。在验证实验中，植入式设备根据传输距离选择直接传输数据到目标节点或先将数据传输到中继节点，再由中继节点通过人体通信传输数据到目标节点。
参见图4所示的植入式设备混合通信结构示意图，其中示出了植入式设备、中级设备和接收设备。植入式节点或目标节点随着人体姿态的变化或检测位置变化而变化。
参见图5所示的仿真实验结果的示意图，横轴为传输距离(m)，纵轴为每比特能耗(10 -8J)，其中下侧实线表示采用MICS+HBC混合通信模式下的能耗，上侧实线表示采用MICS(Mobile Information Service Center，移动信息服务中心)单一通信模式下的能耗。如图5所示，在数据速率、传输距离随时间随机变化的情况下采用MICS+HBC混合通信模式和采用MICS单一通信模式在能效方面的提升，仿真结果表明基于混合通信模式的数据传输方式相比于单一通信方式能效平均提升了21.3％。
实施例三
本申请实施例三提供了一种无线体域网的通信模式切换装置，该装置应配置成无线体域网WBANs的控制器，参见图6所示的无线体域网的通信模式切换装置的示意图，包括：
业务特征获取模块602，配置成获取当前WBANs的业务特征，业务特征包括业务参数信息和通信需求信息；
业务类别识别模块604，配置成将业务特征输入至预先训练的业务分类模型，得到当前WBANs的业务类别；
通信模式确定模块606，配置成根据业务类别、预先建立的业务类别与最优通信模式的对应关系，确定业务类别对应的最优通信模式；
通信模式切换模块608，配置成将当前WBANs的通信模式切换为最优通信模式。
本申请实施例提供的无线体域网的通信模式切换纵轴，在线监控当前WBANs的业务特征，通过业务特征确定当前WBANs的业务类别，并确定其对应的最优通信模式，将当前WBANs的通信模式切换至该最优通信模式，从而可以根据通信需求自适应选择最优的通信模式，实现了低能耗和高传输质量的双重保障。
在一种实施方式中，上述装置还包括分类模块，该分类模块配置成：选择多个WBANs业务作为聚类样本；提取每个聚类样本的业务特征；通过聚类算法对业务特征进行聚类，建立业务分类模型。
在另一种实施方式中，上述装置还包括关系建立模块，该关系建立模块配置成：获取WBANs业务的通信需求信息，建立满足通信服务质量需求的约束条件；根据近人体无线通信能效模型和人体通信能效模型建立能效目标函数；根据能效目标函数建立满足约束条件的能效最优化方程组；对能效最优化方程组求解，确定能效最高的通信模式；将能效最高的通信模式作为WBANs业务的业务类别对应的最优通信模式。
上述业务类别与最优通信模式的对应关系通过以下方式建立：获取WBANs业务的通信需求信息，建立满足通信服务质量需求的约束条件；根据近人体无线通信能效模型和人 体通信能效模型建立能效目标函数；根据WBANs业务的关键指标信息，建立关键指标目标函数；根据能效目标函数和关键指标目标函数，建立多目标最优化方程组；对多目标最优化方程组求解，确定最优通信模式；将最优通信模式作为WBANs业务的业务类别对应的最优通信模式。
在另一种实施方式中，上述装置还包括第一能效模型模块，该第一能效模型模块配置成：通过级联电路分析建立电容耦合方式的人体信道传输模型；根据人体通信的要求选择调制与编码方式；由调制与编码方式和误码率公式计算射频能耗；根据射频电路架构和功率放大器信息，计算电路能耗；结合射频能耗和电路能耗确定人体通信能效模型。
在另一种实施方式中，上述装置还包括第二能效模型模块，该第二能效模型模块配置成：通过有限元仿真建立近人体无线通信的信道传输模型；基于近人体通信的要求选择调制与编码方式；根据调制方式与编码方式及误码率公式计算射频能耗；根据射频电路架构和功率放大器信息，计算电路能耗；结合射频能耗和电路能耗确定人体通信能效模型。
其中，上述通信模式确定模块606还配置成：获取预先建立的业务类别与最优通信模式的映射表；在映射表中查找业务类别对应的最优通信模式；将最优通信模式确定为业务类别对应的最优通信模式。
本申请实施例所提供的装置，其实现原理及产生的技术效果和前述方法实施例相同，为简要描述，装置实施例部分未提及之处，可参考前述方法实施例中相应内容。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应所述以权利要求的保护范围为准。
本实施例还提供了一种计算机可读存储介质，该计算机可读存储介质上存储有计算机程序，计算机程序被处理器运行时执行上述实施例所提供的方法的步骤。
本实施例还提供了一种计算机程序，该计算机程序可以存储在云端或本地的存储介质上。在该计算机程序被计算机或处理器运行时配置成执行上述实施例所提供的方法的相应步骤。
本申请实施例所提供的一种无线体域网的通信模式切换方法及装置的计算机程序产品，包括存储了程序代码的计算机可读存储介质，所述程序代码包括的指令可配置成执行前面方法实施例中所述的方法，具体实现可参见方法实施例，在此不再赘述。所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器， 或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
最后应说明的是：以上所述实施例，仅为本申请的具体实施方式，用以说明本申请的技术方案，而非对其限制，本申请的保护范围并不局限于此，尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，其依然可以对前述实施例所记载的技术方案进行修改或可轻易想到变化，或者对其中部分技术特征进行等同替换；而这些修改、变化或者替换，并不使相应技术方案的本质脱离本申请实施例技术方案的精神和范围，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以所述权利要求的保护范围为准。

Claims (10)

  1. 一种无线体域网的通信模式切换方法，其特征在于，所述方法应用于无线体域网(WBANs)的控制器，包括：
    获取当前WBANs的业务特征，所述业务特征包括业务参数信息和通信需求信息；
    将所述业务特征输入至预先训练的业务分类模型，得到所述当前WBANs的业务类别；
    根据所述业务类别、预先建立的业务类别与最优通信模式的对应关系，确定所述业务类别对应的最优通信模式；
    将所述当前WBANs的通信模式切换为所述最优通信模式。
  2. 根据权利要求1所述的方法，其特征在于，所述业务分类模型的建立过程包括：
    选择多个WBANs业务作为聚类样本；
    提取每个所述聚类样本的业务特征；
    通过聚类算法对所述业务特征进行聚类，建立业务分类模型。
  3. 根据权利要求1所述的方法，其特征在于，所述业务类别与最优通信模式的对应关系通过以下方式建立：
    获取WBANs业务的通信需求信息，建立满足通信服务质量需求的约束条件；
    根据近人体无线通信能效模型和人体通信能效模型建立能效目标函数；
    根据所述能效目标函数建立满足所述约束条件的能效最优化方程组；
    对所述能效最优化方程组求解，确定能效最高的通信模式；
    将所述能效最高的通信模式作为所述WBANs业务的业务类别对应的最优通信模式。
  4. 根据权利要求1所述的方法，其特征在于，所述业务类别与最优通信模式的对应关系通过以下方式建立：
    获取WBANs业务的通信需求信息，建立满足通信服务质量需求的约束条件；
    根据近人体无线通信能效模型和人体通信能效模型建立能效目标函数；
    根据所述WBANs业务的关键指标信息，建立关键指标目标函数；
    根据所述能效目标函数和所述关键指标目标函数，建立多目标最优化方程组；
    对所述多目标最优化方程组求解，确定最优通信模式；
    将所述最优通信模式作为所述WBANs业务的业务类别对应的最优通信模式。
  5. 根据权利要求3或4所述的方法，其特征在于，所述方法还包括建立人体通信能效模型的步骤，所述建立人体通信能效模型的步骤包括：
    通过级联电路分析建立电容耦合方式的人体信道传输模型；
    根据人体通信的要求选择调制与编码方式；
    由所述调制与编码方式和误码率公式计算射频能耗；
    根据射频电路架构和功率放大器信息，计算电路能耗；
    结合所述射频能耗和电路能耗确定人体通信能效模型。
  6. 根据权利要求3或4所述的方法，其特征在于，所述方法还包括建立近人体通信能效模型的步骤，所述建立近人体通信能效模型的步骤包括：
    通过有限元仿真建立近人体无线通信的信道传输模型；
    基于近人体通信的要求选择调制与编码方式；
    根据所述调制方式与编码方式及误码率公式计算射频能耗；
    根据射频电路架构和功率放大器信息，计算电路能耗；
    结合所述射频能耗和电路能耗确定人体通信能效模型。
  7. 根据权利要求1所述的方法，其特征在于，所述根据所述业务类别、预先建立的业务类别与最优通信模式的对应关系，确定所述业务类别对应的最优通信模式，包括：
    获取预先建立的业务类别与最优通信模式的映射表；
    在所述映射表中查找所述业务类别对应的最优通信模式；
    将所述最优通信模式确定为所述业务类别对应的最优通信模式。
  8. 一种无线体域网的通信模式切换装置，其特征在于，所述装置应用于无线体域网(WBANs)的控制器，包括：
    业务特征获取模块，配置成获取当前WBANs的业务特征，所述业务特征包括业务参数信息和通信需求信息；
    业务类别识别模块，配置成将所述业务特征输入至预先训练的业务分类模型，得到所述当前WBANs的业务类别；
    通信模式确定模块，配置成根据所述业务类别、预先建立的业务类别与最优通信模式的对应关系，确定所述业务类别对应的最优通信模式；
    通信模式切换模块，配置成将所述当前WBANs的通信模式切换为所述最优通信模式。
  9. 根据权利要求8所述的装置，其特征在于，所述装置还包括分类模块；
    所述分类模块，配置成选择多个WBANs业务作为聚类样本；提取每个所述聚类样本的业务特征；通过聚类算法对所述业务特征进行聚类，建立业务分类模型。
  10. 根据权利要求8所述的装置，其特征在于，所述装置还包括关系建立模块； 所述关系建立模块配置成：
    获取WBANs业务的通信需求信息，建立满足通信服务质量需求的约束条件；
    根据近人体无线通信能效模型和人体通信能效模型建立能效目标函数；
    根据所述能效目标函数建立满足所述约束条件的能效最优化方程组；
    对所述能效最优化方程组求解，确定能效最高的通信模式；
    将所述能效最高的通信模式作为所述WBANs业务的业务类别对应的最优通信模式。
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