WO2014183653A1 - 一种处理无线体域网数据的方法及装置 - Google Patents

一种处理无线体域网数据的方法及装置 Download PDF

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WO2014183653A1
WO2014183653A1 PCT/CN2014/077558 CN2014077558W WO2014183653A1 WO 2014183653 A1 WO2014183653 A1 WO 2014183653A1 CN 2014077558 W CN2014077558 W CN 2014077558W WO 2014183653 A1 WO2014183653 A1 WO 2014183653A1
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sample
data
value
log
priority
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PCT/CN2014/077558
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English (en)
French (fr)
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王谦
郭阳
禹忠
支周
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中兴通讯股份有限公司
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Priority to US15/100,726 priority Critical patent/US9763575B2/en
Priority to EP14798054.4A priority patent/EP3065325A4/en
Priority to JP2016536559A priority patent/JP6257773B2/ja
Publication of WO2014183653A1 publication Critical patent/WO2014183653A1/zh

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0024—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/43—Querying
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • 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

Definitions

  • the present invention relates to the field of wireless communications, and in particular, to a method and apparatus for processing wireless body area network data.
  • Wireless Body Area Network is a sensor (Node) that is distributed on the surface of the human body or implanted inside the human body for the purpose of collecting various physiological parameters of the human body.
  • the personal data collection processing terminal (Hub (central) node) constitutes a communication network, which can achieve close-range and low-power in four scenarios: body to body, body to body surface, body surface to body surface, body surface to external body. Consumable, highly reliable and biosafety two-way data transmission.
  • the data transmission process of the wireless body area network collects human body data information by Node, and is encapsulated into a frame and transmitted to the Hub node, which is processed and analyzed by the Hub node, and performs subsequent control instruction feedback and data outgoing function.
  • Node Since Node is a wearable or implantable miniature sensor device, it cannot be charged in the same way as a normal terminal device. Therefore, the energy consumption of the node must be considered in the communication process of the wireless body area network node.
  • Related wireless body area network communication methods have few suitable energy control strategies.
  • Other related standards have priority division of node communication services, but they do not specify the specific control method for node transmission periods.
  • the technical problem to be solved by the present invention is to provide a method and apparatus for processing data of a wireless body area network to automatically distinguish the importance level of the data, and improve the efficiency of data processing in the limited resources.
  • the present invention provides a method for processing wireless body area network data, which is applied to a wireless body area network data processing apparatus, and the method includes:
  • Receiving or generating a sample value reference range Receiving sample data from the collection device of the wireless body area network data, and determining a reference range of the sample value to which the sample data belongs according to the sample value of the sample data;
  • the method further has the following features: the processing the data according to the reference value range of the sample data to which the sample data belongs, including:
  • sample value reference range to which the sample data belongs is the specified normal sample value range and the specified condition is satisfied, the sample data is deleted.
  • the above method also has the following features:
  • the plurality of sample value reference ranges are different, and the different sample value reference ranges correspond to different coding precisions; the processing of the sample data according to the sample value reference range to which the sample data belongs includes:
  • the sample data is encoded according to a coding precision corresponding to the sample value reference range to which the sample data belongs.
  • the method further has the following features: after encoding the data according to the coding precision corresponding to the reference value range of the sample data to which the sample data belongs, the method further includes:
  • the sampling period of the data is shortened; if the priority is less than or equal to the first priority threshold, the collecting means is notified to keep the sampling period unchanged or to extend the sampling period.
  • the method further has the following features: after determining the priority of the sample log according to the coding accuracy information and the sample time information of the sampled data encoded value in the sample log, the method further includes: If the threshold is greater than the second priority, the data transmission period is shortened. If the priority is less than or equal to the second priority threshold, the transmission period is kept unchanged or the transmission period is extended.
  • the above method further has the following features:
  • the priority P of the determined log is implemented by:
  • the sampled log contains only the encoded value with the lowest encoding precision.
  • the encoding value of the time is the encoding value of the lowest encoding precision.
  • T log t cur - t first J.
  • g is the duration of the sample log
  • ⁇ is the current time
  • t flrst is the first sample time of the sample log;
  • N represents the total number of entries in the sample log.
  • the present invention further provides a device for processing wireless body area network data, including:
  • the first module is configured to: receive or generate a sample value reference range
  • the second module is configured to: receive sample data from the collection device of the wireless body area network data, and determine, according to the sample value of the sample data, a reference range of the sample value to which the sample data belongs;
  • the third module is configured to: process the sample data according to the sample value reference range to which the sample data belongs.
  • the above device also has the following features:
  • the third module is configured to: process the sample data according to the sample value reference range to which the sample data belongs, and include: if the sample data reference range to which the sample data belongs is a specified normal parameter If the sample range is satisfied and the specified condition is met, the sample data is deleted.
  • the above device also has the following features:
  • the first module is configured to: receive or generate a sample value reference range of multiple, different The sample reference range corresponds to different coding precisions;
  • the third module is configured to: process the sample data according to the sample value reference range to which the sample data belongs: according to the coding precision corresponding to the sample value reference range to which the sample data belongs
  • the sample data is encoded.
  • the above device also has the following features:
  • the third module is configured to: after encoding the sample data according to the coding precision corresponding to the sample value reference range to which the sample data belongs, further comprising: recording the sample code value of each sample data And generating a sample log according to the sample time; determining, according to the coding precision information and the sample time information of the sampled data encoded value in the sample log, the priority of the sample log, if the priority is greater than the first priority Leveling the value, notifying the collecting device to shorten the sampling period of the data; if the priority is less than or equal to the first priority threshold, notifying the collecting device to keep the sampling period unchanged Or extend the sampling period.
  • the above device also has the following features:
  • the third module is configured to: after determining the priority of the sample log according to the coding precision information and the sample time information of the sampled data encoding value in the sample log, the method further includes: if the priority is greater than The second priority threshold is used to shorten the data transmission period; if the priority is less than or equal to the second priority threshold, the transmission period is kept unchanged or the transmission period is extended.
  • the above device also has the following features:
  • the encoding value of the moment is the encoding value of the lowest encoding precision.
  • N represents the total number of entries in the sample log.
  • the embodiments of the present invention provide a method and an apparatus for processing wireless body area network data, which can automatically distinguish the importance degree of the data, and improve the efficiency of data processing in the limited resources.
  • FIG. 1 is a flowchart of a method for processing wireless body area network data according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of obtaining a sample value reference range according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of a reference value range of a sample according to an embodiment of the present invention.
  • FIG. 4 is a diagram showing an example of a generated sample log according to an embodiment of the present invention.
  • 5a and 5b are schematic diagrams showing adjustment of a transmission period T according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of adjustment of a sampling period t according to an embodiment of the present invention.
  • FIG. 7 is a schematic diagram of an apparatus for processing wireless body area network data according to an embodiment of the present invention. Preferred embodiment of the invention
  • FIG. 1 is a flowchart of a method for processing data of a wireless body area network according to an embodiment of the present invention, where the method may include:
  • Step 101 Receive or generate a sample value reference range
  • the Hub node calculates the reference range of the Node sample value based on external input (scene entry, human body entry, geographic environment entry, etc.) and/or internal input (Node sample value feedback); the range can indicate the sample data.
  • the degree of importance, a possible form of reference range is: normal range, warning range and abnormal range, as shown in Figure 3.
  • the Hub node sends the reference range to the Node, as shown in Figure 2.
  • Node can generate the sample reference range based on external input (scene entry, human body entry, geographic environment input, etc.) and/or internal input (Node sample value feedback) without It is sent to it by the Hub node.
  • Step 102 Receive sample data from a collection device of the wireless body area network data, and determine, according to the sample value of the sample data, a reference range of the sample value to which the sample data belongs;
  • Step 103 Process the sample data according to a reference value reference range to which the sample data belongs;
  • the Node After each sample, the Node encodes the sample data according to the reference range.
  • the sample values in the low importance range are encoded with low coding precision, and the sample values in the high importance range are processed with high coding precision. coding. In this way, the importance of the data can be automatically distinguished, and the efficiency of data processing can be improved in limited resources.
  • encoding with shorter bit bits can save transmission overhead; and for data of high importance, encoding with longer bit bits ensures data accuracy. This can improve the efficiency of data transmission.
  • the normal range of sample values is encoded with 2 bit bits
  • the guard range is sampled with 3 bit bits
  • the exception range is encoded with 4 bit bits.
  • sample data belonging to the normal range it is possible to sequentially record the sample value and the sample time to generate a sample log. Because the sampling period of the sensor can be very short, it is possible to generate a data set several times and then transmit it, which saves transmission overhead. During this period, you can also modify this data set, for example, to cut down the data in the data set, which can further reduce the transmission overhead. For example, if the sample data belongs to the normal range, it can be deleted; or, it is judged that the sample data belongs to the normal range, and one sample data belonging to the normal range can be reserved, one is deleted; more than one can be retained, and then multiple deletions are consecutively deleted. Sample data belonging to the normal range, etc.
  • Node can further decrement the entries in the generated sample log: one possible method is to properly delete the low-accuracy sample values and preserve the high-accuracy sample values.
  • the deletion of the diary log can be done as needed, such as at any time before the transmission time point.
  • FIG. 4 is a diagram showing an example of a generated log-like log according to an embodiment of the present invention, for consecutive occurrences
  • the low-bit samples are combined (deleting a portion of the 2-bit data entry), while the high-bit samples are retained, compressing the amount of data transferred.
  • the heart rate value of the normal range may be encoded with a symbol with a lower coding precision, and at the same time, some normal range of sample values may be deleted in an appropriate amount, and for the abnormality Values are encoded with high coding precision, and these outliers are also preserved for transmission.
  • the data sampling period and the transmission period can also be adjusted. If the data transmission period is T and the data sampling period is t, the adjustment methods of T and t are as follows:
  • the Node calculates the priority P of the sample log according to the attribute value items (such as the coding precision and sample time of the sample data) in the sample log, and adjusts the sample period t:
  • P is higher than the adjustment sample period t adjustment threshold, shorten t, on the contrary, when it remains unchanged or the priority is higher than the threshold, it indicates that the data set obtained by the sample (ie, the sample log) has a higher transmission necessity and Urgency, so the sampling period should be shortened to obtain a more timely data source; instead, the priority is lower than the threshold, indicating that the data set obtained is not so "important" so that the current sampling period can be maintained or the current one can be extended.
  • the sampling cycle is used to save money.
  • the adjustment method of the sampling period t is as follows:
  • the next sampling time may be changed according to the relationship between the current sampling priority and the sampling period t adjustment threshold in the current transmission period T, such as the current sampling log.
  • the priority is greater than the sampling period t adjustment threshold, the time of the next sampling time is shortened, and conversely, the time of the next sampling time is extended, as shown in FIG. 6.
  • the Node Before the transmission time arrives, the Node adjusts the transmission period according to the priority P of the sample log calculated at the current time.
  • T When P is higher than the transmission period T adjustment threshold, T is shortened, and conversely, remains unchanged or extended T.
  • the priority When the priority is higher than the threshold, it indicates that the data set obtained by the sample (that is, the sample log) has high transmission necessity and urgency, so the transmission period should be shortened so that the Hub node can obtain the data source in time; instead, priority The level is lower than the threshold, indicating that the data set obtained is not so "important". Therefore, the current transmission period can be maintained or the current transmission period can be extended to save overhead (because the Node transmits the log to the Hub node every time. It will bring overhead to the Node and Hub nodes. The more frequent the transmission, the more overhead, the more resources are consumed. As shown in Figure 4, since there is a highest coding precision symbol, its priority is equal to 1, if
  • the T adjustment threshold is 0.5, and the transmission period T should be shortened.
  • One possible implementation is to access the media when the next next access opportunity arrives. For example, when the closest EAP (Exclusive Access Period) in 802.15.6 arrives, the data frame consisting of the sample log is sent to the Hub node, as shown in Figure 5a. Only the lowest coding precision symbol exists, that is, the sample value is in the normal range, then the sample log priority is equal to 0. If the transmission period T adjustment threshold is unchanged, the transmission period T should be extended, in this embodiment , you can give up the subsequent access timing and continue to wait.
  • the Node node with the sample log does not join the random competition.
  • the process as shown in Figure 5b;
  • the access timing should be appropriately selected according to the relationship between the threshold and the transmission period T to adjust the transmission period T.
  • the Node When the transmission time arrives, the Node encapsulates the sample log into a data frame, and calibrates the priority of the frame according to the priority of the sample log, and the priority of the frame is proportional to P. The Node then transmits the data frame to the Hub node.
  • the calculation method of the log priority P is:
  • T loe is the duration of the sample log.
  • the calculation method is: where, for the current time, ⁇ is the first sample time of the sample log.
  • sampling period t does not necessarily need to be adjusted within each transmission period T or after each sampling, and can be adjusted as needed; the transmission period T does not necessarily need to be adjusted every time, and can be adjusted as needed.
  • FIG. 7 is a schematic diagram of a device for processing wireless body area network data according to an embodiment of the present invention. As shown in FIG. 7, the apparatus in this embodiment may include:
  • the first module receives or generates a sample value reference range
  • the second module receives the sample data from the collection device of the wireless body area network data, and determines a reference range of the sample value to which the sample data belongs according to the sample value of the sample data;
  • the third module processes the sample data according to the sample value reference range to which the sample data belongs.
  • the processing, by the third module, the sampling data according to the sample value reference range to which the sample data belongs may include: a sample value reference range to which the sample data belongs If the specified normal sample value range is satisfied and the specified condition is met, the sample data is deleted.
  • sampling data satisfying the specified condition may include, but is not limited to: the sample data belongs to an even number of sample data in a normal range, or is a plurality of consecutive sample data, and the like.
  • the first module may receive or generate a plurality of sample value reference ranges, and different sample value reference ranges correspond to different coding precisions;
  • the processing, by the third module, processing the data according to the sample value reference range to which the sample data belongs may include: performing, according to the coding precision corresponding to the sample value reference range to which the sample data belongs The sample data is encoded.
  • the third module after encoding the sample data according to the coding precision corresponding to the sample value reference range to which the sample data belongs, further includes: recording each sample data Generating a sample log according to the coded value and the sample time; determining a priority of the sample log according to the coding accuracy information and the sample time information of the sampled data encoded value in the sample log, such as the priority And greater than the first priority threshold, notifying the collecting device to shorten the sampling period of the data; if the priority is less than or equal to the first priority threshold, notifying the collecting device to maintain the sampling The period is constant or the period of the sample is extended.
  • the third module is encoded according to the data in the sample log. After the encoding accuracy information and the sampling time information of the value determine the priority of the sampling log, the method further includes: if the priority is greater than the second priority threshold, shortening the data transmission period; if the priority is less than Or equal to the second priority threshold, keeping the transmission period unchanged or extending the transmission period.
  • the third module determines that the priority P of the sample log passes the value code value below.
  • Log cur first J. g is the duration of the sample log, ⁇ is the current time, and t flrst is the first sample time of the sample log;
  • +1 indicates the number of the entry in the sample log
  • N Indicates the total number of entries in the sample log.
  • the reference range of the sample value can be adjusted according to the environment, the physical signs, etc., and the importance level of the sample data can be evaluated according to the reference range of the sample value, and the code value of the sample value (ie, the coding precision) can be set, which can be directly Know the importance of the data, and improve the efficiency of data processing in limited resources.

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Abstract

处理无线体域网数据的方法及装置，该方法应用于无线体域网数据的处理装置，包括：接收或生成采样值参考范围；从无线体域网数据的采集装置接收采样数据，根据采样数据的采样值判断所述采样数据所属的采样值参考范围；根据所述采样数据所属的采样值参考范围对所述采样数据进行处理。通过本发明实施例可以自动区分出采样数据的重要性程度，在有限资源中提高数据处理的效率。

Description

一种处理无线体域网数据的方法及装置
技术领域
本发明涉及无线通信领域， 尤其涉及一种处理无线体域网数据的方法及 装置。
背景技术
无线体域网 （Wireless Body Area Network, 简称 WBAN ) , 是以人体为 中心， 以釆集人体各种生理参数为目的， 由分布在人体表面或植入人体内部 的传感器 （Node (节点） ）及个人数据釆集处理终端 （Hub (中心）节点） 组成的通信网络， 能够实现体内到体内、 体内到体表、 体表到体表、 体表到 体外等四种场景下的近距离、低功耗、 高可靠性和生物安全的双向数据传输。 无线体域网的数据传输过程为由 Node釆集人体数据信息， 并封装成帧发送 至 Hub节点， 由 Hub节点进行处理分析，并完成后续的控制指令反馈以及数 据外发功能。
由于 Node为穿戴式或植入式的微型传感器设备， 不能够像普通终端设 备一样及时进行充电补充能源， 因此， 在无线体域网节点的通信过程中必须 要考虑节点的能耗问题。 相关的无线体域网通信方法鲜有适宜的能量控制策 略， 另外一些相关标准虽然对节点的通信业务有优先级的划分， 但也未明确 对节点传输周期的具体控制方法。
发明内容
本发明要解决的技术问题是提供一种处理无线体域网数据的方法及装 置， 以自动区分出釆样数据的重要性程度， 在有限资源中提高数据处理的效 率。
为了解决上述技术问题，本发明提供了一种处理无线体域网数据的方法， 应用于无线体域网数据的处理装置， 所述方法包括：
接收或生成釆样值参考范围； 从无线体域网数据的釆集装置接收釆样数据， 根据釆样数据的釆样值判 断所述釆样数据所属的釆样值参考范围；
根据所述釆样数据所属的釆样值参考范围对所述釆样数据进行处理。 优选地， 上述方法还具有下面特点： 所述根据所述釆样数据所属的釆样 值参考范围对所述釆样数据进行处理， 包括：
如所述釆样数据所属的釆样值参考范围是指定的正常釆样值范围且满足 指定条件， 则删除所述釆样数据。
优选地， 上述方法还具有下面特点：
所述釆样值参考范围有多个，不同釆样值参考范围对应不同的编码精度； 所述根据所述釆样数据所属的釆样值参考范围对所述釆样数据进行处 理， 包括：
根据所述釆样数据所属的釆样值参考范围对应的编码精度对所述釆样数 据进行编码。
优选地， 上述方法还具有下面特点： 所述根据所述釆样数据所属的釆样 值参考范围对应的编码精度对所述釆样数据进行编码之后， 还包括：
记录每一釆样数据的釆样编码值和釆样时刻， 生成釆样日志；
根据所述釆样日志中釆样数据编码值的编码精度信息和釆样时间信息确 定所述釆样日志的优先级， 如所述优先级大于第一优先级阈值， 则通知所述 釆集装置缩短数据的釆样周期； 如所述优先级小于或等于所述第一优先级阔 值， 则通知所述釆集装置保持所述釆样周期不变或延长所述釆样周期。
优选地， 上述方法还具有下面特点： 根据所述釆样日志中釆样数据编码 值的编码精度信息和釆样时间信息确定所述釆样日志的优先级后， 还包括： 如所述优先级大于第二优先级阔值， 则缩短数据的传输周期； 如所述优 先级小于或等于第二优先级阔值， 则保持所述传输周期不变或延长所述传输 周期。
优选地， 上述方法还具有下面特点： 所述确定釆样日志的优先级 P通过 下面方式实现： 采样日志中仅含最低编码精度的编码值
P 其它 采样日志中含有最高编码精度的编码值
Figure imgf000005_0001
其中
时刻的编码值为最低编码精度的编码值
J≠ N
- t
Figure imgf000005_0002
j j 二 N '
T log = t cur - t first J。g为所述釆样日志的持续时间， ^为当前时刻， t flrst为 所述釆样日志的首个釆样时刻；
7为釆样日志中第 +1 个编码值的持续时间， 其中， 为所述釆样曰志 中第 +1个编码值的釆样时刻， +1表示所述釆样日志中的条目序号， N表 示所述釆样日志所含有的条目总数。
为了解决上述问题， 本发明还提供了一种无线体域网数据的处理装置， 其中， 包括：
第一模块， 设置为： 接收或生成釆样值参考范围；
第二模块， 设置为： 从无线体域网数据的釆集装置接收釆样数据， 根据 釆样数据的釆样值判断所述釆样数据所属的釆样值参考范围；
第三模块， 设置为： 根据所述釆样数据所属的釆样值参考范围对所述釆 样数据进行处理。
优选地， 上述装置还具有下面特点：
所述第三模块， 设置为： 根据所述釆样数据所属的釆样值参考范围对所 述釆样数据进行处理包括： 如所述釆样数据所属的釆样值参考范围是指定的 正常釆样值范围且满足指定条件， 则删除所述釆样数据。
优选地， 上述装置还具有下面特点：
所述第一模块， 设置为： 接收或生成的釆样值参考范围有多个， 不同釆 样值参考范围对应不同的编码精度；
所述第三模块， 设置为： 根据所述釆样数据所属的釆样值参考范围对所 述釆样数据进行处理包括： 根据所述釆样数据所属的釆样值参考范围对应的 编码精度对所述釆样数据进行编码。
优选地， 上述装置还具有下面特点：
所述第三模块， 设置为： 根据所述釆样数据所属的釆样值参考范围对应 的编码精度对所述釆样数据进行编码之后， 还包括： 记录每一釆样数据的釆 样编码值和釆样时刻， 生成釆样日志； 根据所述釆样日志中釆样数据编码值 的编码精度信息和釆样时间信息确定所述釆样日志的优先级， 如所述优先级 大于第一优先级阔值， 则通知所述釆集装置缩短数据的釆样周期； 如所述优 先级小于或等于所述第一优先级阔值， 则通知所述釆集装置保持所述釆样周 期不变或延长所述釆样周期。
优选地， 上述装置还具有下面特点：
所述第三模块， 设置为： 根据所述釆样日志中釆样数据编码值的编码精 度信息和釆样时间信息确定所述釆样日志的优先级后， 还包括： 如所述优先 级大于第二优先级阔值， 则缩短数据的传输周期； 如所述优先级小于或等于 第二优先级阔值， 则保持所述传输周期不变或延长所述传输周期。
优选地， 上述装置还具有下面特点：
所述第三模块， 设置为： 确定釆样日志的优先级 P通过下面方式实现： 样日志中仅含最低编码精度的编码值 ρ = 其它 ， 采样日志中含有最高编码精度的编码值
Figure imgf000006_0001
其中
^时刻的编码值为最低编码精度的编码值
Figure imgf000006_0002
i = N T s = tcur - tfirst , J。g为所述釆样曰志的持续时间， ^为当前时刻， t flrst为 所述釆样日志的首个釆样时刻；
7为釆样日志中第 +1 个编码值的持续时间， 其中， 为所述釆样曰志 中第 +1个编码值的釆样时刻， +1表示所述釆样日志中的条目序号， N表 示所述釆样日志所含有的条目总数。
综上， 本发明实施例提供一种处理无线体域网数据的方法及装置， 可以 自动区分出釆样数据的重要性程度， 在有限资源中提高数据处理的效率。 附图概述
图 1为本发明实施例的一种处理无线体域网数据的方法的流程图； 图 2为本发明实施例的釆样值参考范围的获取的示意图；
图 3为本发明实施例的釆样值参考范围的示意图；
图 4为本发明实施例的一种生成的釆样日志的示例图；
图 5a和图 5b为本发明实施例的传输周期 T的调整的示意图；
图 6为本发明实施例的釆样周期 t的调整的示意图；
图 7为本发明实施例的处理无线体域网数据的装置的示意图。 本发明的较佳实施方式
下文中将结合附图对本发明的实施例进行详细说明。 需要说明的是， 在 不冲突的情况下， 本申请中的实施例及实施例中的特征可以相互任意组合。
图 1为本发明实施例的一种处理无线体域网数据的方法的流程图， 该方 法可以包括：
步骤 101、 接收或生成釆样值参考范围；
Hub节点依据外部输入（场景录入、 人体体征录入、 地理环境录入等） 和 /或内部输入（ Node釆样值反馈 ) , 计算得出该 Node釆样值参考范围； 该 范围能够指示出釆样数据的重要性程度， 一种可能的参考范围形式为： 正常 范围、 警戒范围和异常范围， 如图 3所示。 Hub节点将该参考范围发送给该 Node, 如图 2所示。
另外， Node在一定的功能支持下， 能够自行依据外部输入（场景录入、 人体体征录入、 地理环境录入等）和 /或内部输入（Node 釆样值反馈）生成 釆样值参考范围， 而不需要由 Hub节点发送给它。
步骤 102、 从无线体域网数据的釆集装置接收釆样数据， 根据釆样数据 的釆样值判断所述釆样数据所属的釆样值参考范围；
步骤 103、 根据所述釆样数据所属的釆样值参考范围对所述釆样数据进 行处理；
Node在每次釆样后，依据参考范围对釆样数据进行编码，低重要性范围 内的釆样值釆用低编码精度进行编码， 高重要性范围内的釆样值釆用高编码 精度进行编码。 这样， 可以自动区分出釆样数据的重要性程度， 在有限资源 中提高数据处理的效率。
本实施例中， 对于低重要性的数据， 釆用较短的 bit位进行编码， 可以 节省传输开销； 而对于高重要性的数据， 釆用较长的 bit位进行编码， 保证 数据的精度， 这样能够提升数据传输的效率。
例如， 如图 3所示， 正常范围的釆样值釆用 2个 bit位编码， 警戒范围 的釆样值釆用 3个 bit位编码， 异常范围的釆用值釆用 4个 bit位编码。
在本实施例中， 还可以依次记录釆样值、 釆样时刻， 生成釆样日志。 因 为，传感器的釆样周期可以很短， 因此可以将数次釆样数据生成一个数据集， 再进行传输， 这样可以节省传输开销。 这期间，还可以对此数据集进行修改， 例如， 对数据集中的数据进行删减， 这样可以进一步减轻传输开销。 例如， 如果釆样数据属于正常范围， 则可以删除； 或者， 判断釆样数据属于正常范 围， 对于属于正常范围的釆样数据可以保留一个， 删除一个； 也可以保留多 个， 然后连续删除多个属于正常范围的釆样数据， 等。
Node进一步可以对生成的釆样日志中的条目进行删减：一种可能的方法 是对低编码精度的釆样值进行适当删除， 保留高编码精度的釆样值。 釆样日 志的删减可以根据需要适时进行， 比如在传输时间点到来前的任何时刻。
图 4为本发明实施例的一种生成的釆样日志的示例图， 对于连续出现的 低 bit位釆样值进行了合并（删除一部分 2个 bit位的数据条目） ， 而保留了 高 bit位釆样值， 压缩了数据传输量。 例如， 在由 Node节点向 Hub节点传输 人体心率值时， 对于正常范围的心率值可以釆用较低编码精度的码元进行编 码， 同时也可以适量删除一些正常范围的釆样值， 而对于异常值进行高编码 精度编码， 这些异常值也要保留下来等待传输。
本实施例， 还可以调整数据釆样周期和传输周期，设数据传输周期为 T, 数据釆样周期为 t, 则 T和 t的调整方法如下：
在传输周期 T 内， Node依据釆样日志中所含釆样值属性条目 （如釆样 数据的编码精度和釆样时间） ， 计算釆样日志的优先级 P, 并调整釆样周期 t: 当 P高于调整釆样周期 t调整门限时， 缩短 t, 相反， 保持不变或延长 优先级高于门限时， 表示釆样获得的数据集（即釆样日志）有较高的传 输必要性和紧迫性， 因此应缩短釆样周期以获得更及时的数据源； 相反， 优 先级低于门限， 表示釆样获得的数据集不是那么的 "重要" 因此可以保持当 前的釆样周期或者延长当前的釆样周期以起到节省开销的目的。
本实施例中， 釆样周期 t的调整实施方式如下： 可以在当前传输周期 T 内依据当前釆样日志优先级与釆样周期 t调整门限之关系改变下一个釆样时 刻， 如当前釆样日志优先级大于釆样周期 t调整门限时， 缩短下一个釆样时 刻到来的时间， 反之， 延长下一个釆样时刻到来的时间， 如图 6所示。 为降 低计算开销， 不一定在每次釆样之后， 也不一定在每个传输周期内都执行釆 样周期 t的调整策略。
传输时刻到达前， Node依据当前时刻计算的釆样日志的优先级 P, 调整 传输周期 T: 当 P高于传输周期 T调整门限时， 缩短 T, 相反， 保持不变或 延长 T。
优先级高于门限时， 表示釆样获得的数据集（即釆样日志）有较高的传 输必要性和紧迫性， 因此应缩短传输周期以使 Hub节点获得及时地获得数据 源； 相反， 优先级低于门限， 表示釆样获得的数据集不是那么的 "重要" 因 此可以保持当前的传输周期或者延长当前的传输周期以起到节省开销的目的 (因为 Node每一次向 Hub节点传输釆样日志都会为 Node和 Hub节点带来 开销， 传输越频繁开销越大， 越消耗资源） 。 如图 4中， 由于存在一个最高编码精度码元， 因此其优先级等于 1 , 若
4叚设调整传输周期 T调整门限值为 0.5 ,则应该缩短传输周期 T ,一种可能的 实施方式是在最接近的下一个接入时机到来时，接入媒体。例如，在 802.15.6 中的最接近的 EAP ( Exclusive Access Period, 专属接入周期）到来时立即向 Hub节点发送由该釆样日志构成的数据帧，如图 5a所示； 若釆样日志中仅存 在最低编码精度码元， 即釆样值均处在正常范围内， 则釆样日志优先级等于 0 , 若传输周期 T调整门限值不变， 则应该延长传输周期 T , 本实施例中， 可 以放弃随后的接入时机， 继续等待。 例如， 在 802.15.6 中的下一个 RAP ( Random Access Period, 随机接入周期 )或 CAP ( Contention Access Period, 竟争接入周期 )到来时， 具有该釆样日志的 Node节点不加入随机竟争过程， 如图 5b所示； 此外， 若釆样日志的优先级介于 0~1之间， 应根据其与传输 周期 T调整门限值关系适当选择接入时机， 以调整传输周期 T。
传输时刻到达时 , Node将釆样日志封装成数据帧， 并依据所述釆样日志 的优先级标定该帧的优先级， 该帧的优先级正比于 P。 随后， Node 向 Hub 节点传输该数据帧。
本实施例中， 釆样日志优先级 P的计算方法为：
如果釆样日志中仅含最低编码精度的编码值， 则 P=0 ; (最低 ) 如果釆样日志中含有最高编码精度的编码值， 则 P=l ; (最高） 其他情况下， p = J——0 时刻的编码值为最低编码精度的编码值
式中,
Figure imgf000010_0001
Tloe为釆样日志的持续时间， 计算方法为： 其中， 为当前 时刻， ^为釆样日志的首个釆样时刻。
7为釆样日志中第 +1个编码值的持续时间，其中， ^为所述釆样日志中 第 +1个编码值的釆样时刻， +1表示所述釆样日志中的条目序号， N表示 所述釆样日志所含有的条目总数。 釆样周期 t并不一定需要在每个传输周期 T内或每次釆样之后都进行调 整， 可以根据需要适时调整； 传输周期 T也不一定需要每次都进行调整， 可 以根据需要适时调整。
图 7为本发明实施例的一种无线体域网数据的处理装置的示意图， 如图 7所示， 本实施例的装置可以包括：
第一模块， 接收或生成釆样值参考范围；
第二模块， 从无线体域网数据的釆集装置接收釆样数据， 根据釆样数据 的釆样值判断所述釆样数据所属的釆样值参考范围；
第三模块 , 根据所述釆样数据所属的釆样值参考范围对所述釆样数据进 行处理。
在一优选实施例中， 所述第三模块， 根据所述釆样数据所属的釆样值参 考范围对所述釆样数据进行处理可以包括： 如所述釆样数据所属的釆样值参 考范围是指定的正常釆样值范围且满足指定条件， 则删除所述釆样数据。
其中， 所述釆样数据满足指定条件可以包括但不限于： 所述釆样数据属 于正常范围内的第偶数个釆样数据， 或者是连续的多个釆样数据， 等。
在一优选实施例中， 所述第一模块， 接收或生成的釆样值参考范围可以 有多个， 不同釆样值参考范围对应不同的编码精度；
所述第三模块 , 根据所述釆样数据所属的釆样值参考范围对所述釆样数 据进行处理可以包括： 根据所述釆样数据所属的釆样值参考范围对应的编码 精度对所述釆样数据进行编码。
在一优选实施例中， 所述第三模块， 根据所述釆样数据所属的釆样值参 考范围对应的编码精度对所述釆样数据进行编码之后， 还包括： 记录每一釆 样数据的釆样编码值和釆样时刻， 生成釆样日志； 根据所述釆样日志中釆样 数据编码值的编码精度信息和釆样时间信息确定所述釆样日志的优先级， 如 所述优先级大于第一优先级阔值，则通知所述釆集装置缩短数据的釆样周期； 如所述优先级小于或等于所述第一优先级阈值， 则通知所述釆集装置保持所 述釆样周期不变或延长所述釆样周期。
在一优选实施例中， 所述第三模块， 根据所述釆样日志中釆样数据编码 值的编码精度信息和釆样时间信息确定所述釆样日志的优先级后， 还包括： 如所述优先级大于第二优先级阔值， 则缩短数据的传输周期； 如所述优先级 小于或等于第二优先级阔值，则保持所述传输周期不变或延长所述传输周期。
在一优选实施例中， 所述第三模块， 确定釆样日志的优先级 P通过下面 值 码值
Figure imgf000012_0001
T = 1 - 1
log cur first J。g为所述釆样日志的持续时间， ^为当前时刻， t flrst为 所述釆样日志的首个釆样时刻；
为釆样日志中第 +1 个编码值的持续时间， 其中， 为所述釆样曰志 中第 +1个编码值的釆样时刻， +1表示所述釆样日志中的条目序号， N表 示所述釆样日志所含有的条目总数。
本领域普通技术人员可以理解上述方法中的全部或部分步骤可通过程序 来指令相关硬件完成， 所述程序可以存储于计算机可读存储介质中， 如只读 存储器、 磁盘或光盘等。 可选地， 上述实施例的全部或部分步骤也可以使用 一个或多个集成电路来实现。 相应地， 上述实施例中的各模块 /单元可以釆用 硬件的形式实现， 也可以釆用软件功能模块的形式实现。 本发明不限制于任 何特定形式的硬件和软件的结合。
以上仅为本发明的优选实施例， 当然， 本发明还可有其他多种实施例， 相应的改变和变形都应属于本发明所附的权利要求的保护范围。
工业实用性 本发明实施例与以往技术相比具有以下优点：
1 )能够依据环境、体征等条件调整釆样值参考范围， 可以依据该釆样值 参考范围来评估釆样数据的重要程度， 设置釆样值编码值（即编码精度） ， 这样可以很直接地获知釆样数据的重要性程度， 在有限的资源中提高数据处 理效率。
2 ) 能够依据釆样值参考范围， 压缩数据的传输量， 减少节点能耗。
3 )能够依据釆样值优先级， 调整数据釆样周期和传输周期， 减少节点能

Claims

权 利 要 求 书
1、一种处理无线体域网数据的方法，应用于无线体域网数据的处理装置， 所述方法包括：
接收或生成釆样值参考范围；
从无线体域网数据的釆集装置接收釆样数据， 根据釆样数据的釆样值判 断所述釆样数据所属的釆样值参考范围；
根据所述釆样数据所属的釆样值参考范围对所述釆样数据进行处理。
2、如权利要求 1所述的方法， 其中， 所述根据所述釆样数据所属的釆样 值参考范围对所述釆样数据进行处理， 包括：
如所述釆样数据所属的釆样值参考范围是指定的正常釆样值范围且满足 指定条件， 则删除所述釆样数据。
3、 如权利要求 2所述的方法， 其中，
所述釆样值参考范围有多个，不同釆样值参考范围对应不同的编码精度； 所述根据所述釆样数据所属的釆样值参考范围对所述釆样数据进行处 理， 包括：
根据所述釆样数据所属的釆样值参考范围对应的编码精度对所述釆样数 据进行编码。
4、如权利要求 3所述的方法， 其中， 所述根据所述釆样数据所属的釆样 值参考范围对应的编码精度对所述釆样数据进行编码之后， 还包括：
记录每一釆样数据的釆样编码值和釆样时刻， 生成釆样日志；
根据所述釆样日志中釆样数据编码值的编码精度信息和釆样时间信息确 定所述釆样日志的优先级， 如所述优先级大于第一优先级阈值， 则通知所述 釆集装置缩短数据的釆样周期； 如所述优先级小于或等于所述第一优先级阔 值， 则通知所述釆集装置保持所述釆样周期不变或延长所述釆样周期。
5、如权利要求 4所述的方法， 其中，根据所述釆样日志中釆样数据编码 值的编码精度信息和釆样时间信息确定所述釆样日志的优先级后， 还包括： 如所述优先级大于第二优先级阔值， 则缩短数据的传输周期； 如所述优 先级小于或等于第二优先级阔值， 则保持所述传输周期不变或延长所述传输 周期。
6、 如权利要求 4或 5所述的方法， 其中， 所述确定釆样日志的优先级 P 通过下面方式实现：
采样日志中仅含最低编码精度的编码值 其它
采样日志中含有最高编码精度的编码值
Figure imgf000015_0001
0 ^时刻的编码值为最低编码精度的编码值
j≠N
j = N '
T = 1 - 1
log cur first J。g为所述釆样日志的持续时间， ^为当前时刻， t flrst为 所述釆样日志的首个釆样时刻；
为釆样日志中第 +1 个编码值的持续时间， 其中， 为所述釆样曰志 中第 +1个编码值的釆样时刻， +1表示所述釆样日志中的条目序号， N表 示所述釆样日志所含有的条目总数。
7、 一种无线体域网数据的处理装置， 包括：
第一模块， 设置为： 接收或生成釆样值参考范围；
第二模块， 设置为： 从无线体域网数据的釆集装置接收釆样数据， 根据 釆样数据的釆样值判断所述釆样数据所属的釆样值参考范围；
第三模块， 设置为： 根据所述釆样数据所属的釆样值参考范围对所述釆 样数据进行处理。
8、 如权利要求 7所述的装置， 其中，
所述第三模块， 设置为： 根据所述釆样数据所属的釆样值参考范围对所 述釆样数据进行处理包括： 如所述釆样数据所属的釆样值参考范围是指定的 正常釆样值范围且满足指定条件， 则删除所述釆样数据。
9、 如权利要求 8所述的装置， 其中，
所述第一模块， 设置为： 接收或生成的釆样值参考范围有多个， 不同釆 样值参考范围对应不同的编码精度；
所述第三模块， 设置为： 根据所述釆样数据所属的釆样值参考范围对所 述釆样数据进行处理包括： 根据所述釆样数据所属的釆样值参考范围对应的 编码精度对所述釆样数据进行编码。
10、 如权利要求 9所述的装置， 其中，
所述第三模块， 设置为： 根据所述釆样数据所属的釆样值参考范围对应 的编码精度对所述釆样数据进行编码之后， 还包括： 记录每一釆样数据的釆 样编码值和釆样时刻， 生成釆样日志； 根据所述釆样日志中釆样数据编码值 的编码精度信息和釆样时间信息确定所述釆样日志的优先级， 如所述优先级 大于第一优先级阔值， 则通知所述釆集装置缩短数据的釆样周期； 如所述优 先级小于或等于所述第一优先级阔值， 则通知所述釆集装置保持所述釆样周 期不变或延长所述釆样周期。
11、 如权利要求 10所述的装置， 其中，
所述第三模块， 设置为： 根据所述釆样日志中釆样数据编码值的编码精 度信息和釆样时间信息确定所述釆样日志的优先级后， 还包括： 如所述优先 级大于第二优先级阔值， 则缩短数据的传输周期； 如所述优先级小于或等于 第二优先级阔值， 则保持所述传输周期不变或延长所述传输周期。
12、 如权利要求 10或 11所述的装置， 其中，
所述第三模块， 设置为： 确定釆样日志的优先级 P通过下面方式实现： 样日志中仅含最低编码精度的编码值 其它 ， 采样日志中含有最高编码精度的编码值
Figure imgf000016_0001
的编码值为最低编码精度的编码值
Figure imgf000017_0001
log ■tfi , g为所述釆样日志的持续时间， 为当前时刻， f为 所述釆样日志的首个采样时刻；
7为釆样日志中第 +1 个编码值的持续时间， 其中， 为所述釆样曰志 中第 +1个编码值的釆样时刻， +1表示所述釆样日志中的条目序号， N表 示所述釆样日志所含有的条目总数。
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9763575B2 (en) 2013-12-05 2017-09-19 Zte Corporation Method and device for processing wireless body area network data

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10582508B2 (en) * 2015-03-31 2020-03-03 At&T Intellectual Property I, L.P. Facilitation of network resources
US11563606B2 (en) * 2021-04-30 2023-01-24 Korea Advanced Institute Of Science And Technology Method for detecting on-off keying symbols for wireless body area networks with supervised learning and system therefor

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102123515A (zh) * 2011-03-10 2011-07-13 西安电子科技大学 无线体域网中基于超帧的高效媒体接入控制方法
CN102958062A (zh) * 2012-10-19 2013-03-06 上海交通大学无锡研究院 一种无线体域网中基于超帧的低能耗媒体接入控制方法
CN103354652A (zh) * 2013-06-14 2013-10-16 中国农业大学 一种无线体域网轻量级数据融合的方法与装置

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004216125A (ja) 2002-11-19 2004-08-05 Seiko Instruments Inc 生体情報検出端末制御システム
US7733224B2 (en) * 2006-06-30 2010-06-08 Bao Tran Mesh network personal emergency response appliance
US8912899B2 (en) * 2007-01-10 2014-12-16 Integrity Tracking, Llc Wireless sensor network calibration system and method
US20100027704A1 (en) * 2007-09-10 2010-02-04 Industrial Technology Research Institute Method and Apparatus for Data Transmission Based on Signal Priority and Channel Reliability
WO2009037612A2 (en) * 2007-09-19 2009-03-26 Koninklijke Philips Electronics N.V. Method and apparatus for detecting an abnormal situation
US9136980B2 (en) * 2010-09-10 2015-09-15 Qualcomm Incorporated Method and apparatus for low complexity compression of signals
US20120130202A1 (en) * 2010-11-24 2012-05-24 Fujitsu Limited Diagnosis and Monitoring of Musculoskeletal Pathologies
KR20140058502A (ko) * 2011-06-20 2014-05-14 헬스와치 리미티드 독립 비간섭 웨어러블 건강 모니터링 및 경고 시스템
CN102905313B (zh) * 2011-07-27 2014-12-10 无锡物联网产业研究院 一种无线传感器网络数据收集方法及装置
JP6302907B2 (ja) * 2012-08-16 2018-03-28 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 患者中心のインテリジェントなモニタリングサービスを提供するため接続される患者モニタリングシステム及び方法
US9300266B2 (en) * 2013-02-12 2016-03-29 Qualcomm Incorporated Speaker equalization for mobile devices
US9268399B2 (en) * 2013-03-01 2016-02-23 Qualcomm Incorporated Adaptive sensor sampling for power efficient context aware inferences
JP6445539B2 (ja) * 2013-05-31 2018-12-26 ナイキ イノベイト シーブイ 動的サンプリング
US9581612B2 (en) * 2013-08-26 2017-02-28 EveryFit, Inc. Systems and methods for a power efficient method for detecting wear and non-wear of a sensor
US9554747B2 (en) * 2013-08-26 2017-01-31 EveryFit, Inc. Power efficient system and method for measuring physical activity in resource constrained devices
CN104702366B (zh) 2013-12-05 2019-03-15 中兴通讯股份有限公司 一种处理无线体域网数据的方法及装置

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102123515A (zh) * 2011-03-10 2011-07-13 西安电子科技大学 无线体域网中基于超帧的高效媒体接入控制方法
CN102958062A (zh) * 2012-10-19 2013-03-06 上海交通大学无锡研究院 一种无线体域网中基于超帧的低能耗媒体接入控制方法
CN103354652A (zh) * 2013-06-14 2013-10-16 中国农业大学 一种无线体域网轻量级数据融合的方法与装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9763575B2 (en) 2013-12-05 2017-09-19 Zte Corporation Method and device for processing wireless body area network data

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