CN112911536A - Enhanced high-fidelity and high-reliability wireless sensor network test platform - Google Patents
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Abstract
The invention relates to the technical field of networks, and particularly discloses an enhanced high-fidelity and high-reliability wireless sensor network test platform which comprises a server center, a cluster control center and cluster sensor nodes, wherein a user accesses a highly integrated Web portal on the server center through the cluster control center, an operation condition diagnosis tool is integrated on the Web portal, the cluster sensor nodes are programmed after an operation execution state is obtained from the Web portal, meanwhile, the cluster control center calls the operation condition diagnosis tool to diagnose the nodes, if the node programming failure is diagnosed, the current operation is cancelled, and inaccessible marks the nodes by using marks, and if the node programming failure is diagnosed, the current operation is synchronously performed among the nodes, and experimental output data is uploaded to the server center. By adopting the technical scheme of the invention, the wireless sensor network test platform has higher reliability and higher fidelity.
Description
Technical Field
The invention relates to the technical field of networks, in particular to an enhanced high-fidelity and high-reliability wireless sensor network test platform.
Background
In recent years, the widespread use of wireless sensor networks in the military, environmental monitoring, healthcare and security fields has attracted worldwide attention, and considering wireless sensor networks as one of the most valuable fields in the last decade is not an exaggeration because of its advantages of lower cost, reliability, accuracy and flexibility, wireless sensor networks can be seen as networks of miniature devices of sensor nodes, which are spatially distributed and can work in concert to communicate information collected from monitoring sites over wireless links. The data collected by the various nodes is sent to a receiver, which either uses the data locally or is connected to other types of networks. But many applications focus on several design constraints including network size, topology, deployment, and resource constraints, such as limited energy, short communication range, low bandwidth, and limited processing power and memory space in each node, wireless sensor network research aims to solve the above design and resource constraints by introducing new design strategies, improving protocol efficiency, and developing new algorithms, which have been problematic in fields such as routing, data collection, power saving, localization, security, and applications.
Researchers all over the world try to solve the above problems, but practical solutions for wireless sensor networks need to face the complexity of the real world, so experiments to capture the real world have become an essential part of the research process, and a number of experimental test platforms have been deployed to provide a wide variety of services and tools. Most existing test platforms provide a Web portal for purposes such as planning experimental jobs, scheduling required resources, setting up and programming nodes to define their behavior and data to be collected, and therefore it is most important to make the platform more heterogeneous and serve multiple design goals.
For this, chinese patent publication No. CN104104488A discloses a system and method for testing consistency of wireless sensor network protocols, in which a CPCI industrial personal computer is used as a system platform, a software module includes a virtual port module, a test data generation module, a data import/export module, a data interception module, and a data analysis module, and a hardware module includes a data transceiver module and a data storage module, where the data transceiver module includes an ethernet module and a wireless signal transceiver module. The test system and the test method have simple structure, do not need to consider the synchronization problem of the test equipment, and are easy to operate; the operation of system software and hardware is respectively designed into different test modules, thereby reducing the difficulty of system development and maintenance.
The scheme enables the test system to reduce the difficulty of system development and maintenance without considering the synchronization problem of test equipment, but the test platform does not present a strong experiment result which is reliable in realization, and WSN experiments which are as vivid as possible are not designed in the aspects of scale, behavior, environment and constraint.
Therefore, an enhanced high-fidelity and high-reliability wireless sensor network test platform is needed, so that the wireless sensor network test platform has higher reliability and higher fidelity.
Disclosure of Invention
The invention aims to provide an enhanced high-fidelity and high-reliability wireless sensor network test platform, so that the wireless sensor network test platform has higher reliability and higher fidelity.
In order to achieve the above purpose, the technical solution of the present invention provides an enhanced high fidelity and high reliability wireless sensor network test platform, which comprises cluster sensor nodes, a server center and a cluster control center,
the cluster sensor node is used for running a user program and an application program to verify an algorithm and uploading experiment output data to the server center; the system is also used for connecting a sensor for collecting information;
the server center is provided with a highly integrated Web portal for planning and monitoring operation, acquiring an operation execution state through the Web portal and recording experiment output data uploaded by cluster sensor nodes; the Web portal is integrated with an operation condition diagnosis tool for diagnosing the cluster sensor nodes;
the cluster control center is used for executing the planned operation of the server, a user accesses a highly integrated Web portal on the server center through the cluster control center, programs the cluster sensor nodes after acquiring the operation execution state, and calls an operation condition diagnosis tool to diagnose the cluster sensor nodes, wherein the specific diagnosis logic is as follows: if the cluster sensor node programming is diagnosed to be failed, the current operation is cancelled and the inaccessible mark node is used for marking the node, and if the cluster sensor node programming is diagnosed to be successful, the current operation is synchronously performed among the cluster sensor nodes, and experimental output data are uploaded to the server center.
The technical principle of the scheme is as follows: the setting of the Web portal guides a user to configure, arrange, monitor and continue working in the whole life cycle of the working, and meanwhile, an operation condition diagnosis tool is seamlessly integrated, the operation condition diagnosis of the node is executed in the node programming stage, when the operation is planned, a remote programming execution diagnosis service is used, the operation condition diagnosis tool receives the node state whether the node is healthy or not according to whether the programming is successful or not, and according to the diagnosis result, the user can decide whether to continue or cancel the current operation so as to avoid obtaining unreliable experiment output, thereby improving the reliability of the test platform. After the node programming is diagnosed to be successful, the nodes synchronously work, the synchronization precision of the same working node is higher, and a user expects to obtain an experiment result with higher precision, so that the fidelity of the test platform is improved.
The technical effect of the scheme is as follows: by adopting the operation synchronization among the nodes, unreliable experimental output is avoided, so that the reliability of the wireless sensor network test platform is improved, and the wireless sensor network test platform has high reliability. Meanwhile, the reliability of the wireless sensor network test platform is improved by developing some strategies, namely a highly integrated Web portal and an operating condition diagnosis tool, so that the wireless sensor network test platform has high reliability.
Further, the Web portal is integrated with an automatic fault node replacement tool for replacing the cluster sensor node diagnosed with the fault. If a node is diagnosed as a failed node and reported to the server, the wireless sensor network test platform will search for and program a healthy neighbor node to replace it with minimal experimental topology changes and minimal effect of the results, all of which will be automatically performed and reported to the user, making the experimental output more reliable and minimizing experimental distortion.
Furthermore, the Web portal is integrated with a data log recording service, and is used for recording experimental data and uploading logs to the server center. If a large number of nodes are included in the experiment, programming all the nodes takes some time, the experiment can be delayed, in order to accelerate the programming process, the experimental data is recorded and the log is uploaded to the server center, so that the experimental data of the corresponding nodes can be known more quickly, the experimental process can be known in time, and the wireless sensor network test platform is more reliable.
Further, the log is uploaded to the server center by adopting a TDMA mechanism to upload data files. The data file is uploaded by adopting a TDMA mechanism, so that the problem of limited competition of TCP connection uploading data files caused by a large amount of data output to be recorded generated by long-term operation time operation can be solved, experimental transmission faults caused by competition are avoided, and the reliability of the wireless sensor network test platform is further enhanced.
Furthermore, each cluster sensor node is provided with a high-speed independent USB port, and the cluster control center is electrically connected with the cluster sensor nodes through the USB ports. The USB port realizes the connection between the cluster control center and the cluster sensor node, so that the cluster control center can program and diagnose the cluster sensor node through the USB port, and the programming and diagnosis process is simpler and more convenient.
Further, the server center is configured with two network interface cards, one for the intranet of the server center connected to the cluster control center and the other for public Internet access to the server center.
Further, the server center also provides a parallel programming service. The parallel programming service can accelerate the programming process and reduce the experiment delay.
Furthermore, a timely migration task module is arranged on the server center. The task state is migrated in time so that the planned job will shorten the waiting time of each stage.
Further, the server center may securely retain nodes used in a plurality of jobs having overlapping job execution time windows. Securely retaining nodes used in multiple jobs with overlapping job execution time windows may effectively avoid job scheduling deadlocks.
Drawings
Fig. 1 is an architecture diagram of an enhanced high-fidelity high-reliability wireless sensor network test platform system according to an embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
An embodiment substantially as shown in figure 1: an enhanced high-fidelity and high-reliability wireless sensor network test platform comprises a server center, a cluster control center and cluster sensor nodes.
The cluster sensor node is used for running programs and application programs of users to verify algorithms and is also used for connecting sensors for collecting information.
In this embodiment, the cluster sensor node is composed of 130 nodes running Contiki, and can be easily expanded to be compatible with telos b nodes running TinyOS, the design provides a relatively strict time sequence guarantee for programs, the node deploys active power management, supports a wireless link protocol of a complete peer-to-peer network application program, a high-frequency buffer ADC and a rich flash memory to support long-term existing application programs, and the application programs can collect data and perform more complex algorithm verification as time goes on.
In this example, 130 nodes were placed on top of a 9 x 17 rectangular grid wooden bench, spaced approximately 2 feet between any two nearest particles, to form a network. Other 130 telos b dusts that may be integrated in the near future may be placed on the second layer of wooden stools at a distance of about 2 feet from the upper layer of dust to form another network. The above 130 nodes are divided into 15 clusters, which are connected to a cluster center notebook computer through USB ports. The operation can be performed on a lower layer of 130 telos b particles. The upper and lower clusters located at the same position are connected to the notebook computer of the same cluster center through the USB concentrator and are all controlled by the same notebook computer.
The server center is used for planning and monitoring operation and recording experiment output data.
In this embodiment, the server center uses a Dell Inspiron 15 series, Ubuntu OS, Intel Celeron-N3050 processor running on Dell XPS 8900 with sixth generation Inter 7-6700, 16GB DDR4 memory and 1TB 7200rpm hard disk, the server center is configured with two network interface cards, one for the server center's intranet connected to the cluster control center and the other for public Internet access to the server center, the server functions primarily to provide a highly integrated Web portal for users to access a test platform to schedule their experiments and provide tools running in the background to monitor jobs.
The server center is provided with a Web-based portal developed by PHP and JavaScript, the portal is used as an experimental Web portal, and the operation condition diagnosis tool, the automatic fault node replacement tool and the data log recording service tool are all seamlessly integrated with a webpage so as to realize the configuration, planning and data collection of operation, and guide the user to configure, arrange, monitor and continue to work in the whole life cycle of the work through the webpage. All phases of job execution can call the service of the corresponding tool without any inconvenience to the user.
The health diagnostic tool performs node health diagnostics during the node programming phase (rather than a dedicated daemon). When a job is scheduled to run, the diagnostic service will be performed using remote programming. The diagnostic service receives the node status of whether the node is healthy based on whether the programming was successful. The programming tool will report error contents including the inability of the USB port to access, the failure of the flash write, or the inability to restart the embedded system. After receiving the real-time feedback information, the diagnosis service updates the experiment log and refreshes the node state on the portal. Based on the diagnostic results, the user can decide whether to continue or cancel the current task to avoid obtaining unreliable experimental output. With this strategy, the diagnostic service will not occupy dedicated test bench resources and avoid competition with experimental work.
A common problem during the experiment of automatically replacing the failed node tool is that if some of the nodes of this planned job fail at the start of the job, the topology may change. If the user does not notice the failed node and continue the experiment, unreliable experiment output data will be caused, and regression and data analysis of the experiment will be misled. To address this problem and minimize experimental distortion, the wireless sensor network test platform provides a strategy that can automatically replace a failed node with a healthy neighbor node, and if a node is diagnosed as a failed node and reported to the server, the wireless sensor network test platform will search for and program a healthy neighbor node to replace it with minimal experimental topology changes and minimal resulting impact, all of which will be automatically performed and reported to the user.
The data logging service tool is used to log experimental data and upload logs to the server, and if a large number of nodes are involved in an experiment, it will take some time to program all the nodes, which may delay the experiment.
In order to speed up the programming process, the server center also uses a parallel programming service, the parallel programming time of 130 nodes can be shortened to 40s compared to 340s spent on 10 nodes without the multi-threaded programming method.
And a timely migration task module is arranged on the server center. The task state is migrated in time so that the planned job will shorten the waiting time of each stage. The server center may securely retain nodes used in multiple jobs having overlapping job execution time windows. Securely retaining nodes used in multiple jobs with overlapping job execution time windows may effectively avoid job scheduling deadlocks.
And the cluster control center is used for executing the operation planned by the server and programming and diagnosing the sensor nodes.
In this embodiment, the cluster control centers are notebook computers, and 15 notebook computers are used in total to form 15 cluster control centers, which are deployed by Dell instron 15 series, Ubuntu OS, Intel Celeron-N3050 processor, 4GB RAM DDR3L memory, and 500GB hard disk drive. Each of the 15 notebook computers served as a cluster control center to program, control and monitor the nodes of the corresponding cluster. It is connected to the server via ethernet to receive job configuration, report the health of the node and upload experimental output data. After obtaining the job execution status from the server, it will program and diagnose the nodes connected to the USB port. As a cluster control center, the portable computer maintains a local database to map nodes with corresponding USB ports, record the status of whether a node is reserved or occupied by a job, and time information about the job currently running.
The specific implementation process is as follows:
a user accesses a highly integrated Web portal on a server center through a cluster control center, an operation condition diagnosis tool, an automatic fault node replacement tool and a data log recording service tool are integrated on the Web portal, and after an operation execution state is obtained from the Web portal, cluster sensor nodes are programmed.
Meanwhile, the cluster control center calls an operation condition diagnosis tool to diagnose the node, if the node programming failure is diagnosed, the current operation is cancelled and the node is marked by using the inaccessible mark,
if the node programming is diagnosed to be successful, the nodes synchronously carry out the current operation and upload experimental output data to the server center.
In this process, the automatic replacement failed node tool reports the sensor node determined to be the failed node to the server center, which searches for and programs a healthy neighbor node to replace it with minimal experimental topology changes and minimal impact on the results, which action is automatically performed and reported to the user.
The data logging service tool will then log the experimental data and upload the data file to the server center using the TDMA mechanism.
Example two
The second embodiment is different from the first embodiment only in that: the server center is also provided with virtual nodes for receiving data of certain high-requirement cluster sensor nodes and calculating the data.
For the cluster sensor nodes, hardware requirements for the sensor nodes are high, in order to achieve the purpose that under the premise that cost is not increased, virtual nodes need to be arranged on a server center, under the premise that a simulated intelligent community is needed, the cluster sensor nodes are used for collecting and calculating doors and windows and the like of each family, when a router is needed to carry out overall coordination, the calculated amount of a communication protocol is large at the moment, the requirements for hardware are high, the virtual nodes are preset on the server center, the virtual nodes are enabled to receive data on the corresponding sensor nodes in the cluster sensor nodes, the whole data are enabled to be calculated on the server center, and the calculation of the high-requirement calculated amount is guaranteed to be completed on the premise that equipment cost is not increased.
The above are merely examples of the present invention, and the present invention is not limited to the field related to this embodiment, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein too much, and those skilled in the art can know all the common technical knowledge in the technical field before the application date or the priority date, can know all the prior art in this field, and have the ability to apply the conventional experimental means before this date, and those skilled in the art can combine their own ability to perfect and implement the scheme, and some typical known structures or known methods should not become barriers to the implementation of the present invention by those skilled in the art in light of the teaching provided in the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (9)
1. The utility model provides a wireless sensor network test platform of enhancement mode high fidelity, high reliability which characterized in that: comprises a server center, a cluster control center and cluster sensor nodes,
the cluster sensor node is used for running a user program and an application program to verify an algorithm and uploading experiment output data to the server center; the system is also used for connecting a sensor for collecting information;
the server center is provided with a highly integrated Web portal for planning and monitoring operation, acquiring an operation execution state through the Web portal and recording experiment output data uploaded by cluster sensor nodes; the Web portal is integrated with an operation condition diagnosis tool for diagnosing the cluster sensor nodes;
the cluster control center is used for executing the planned operation of the server, a user accesses a highly integrated Web portal on the server center through the cluster control center, programs the cluster sensor nodes after acquiring the operation execution state, and calls an operation condition diagnosis tool to diagnose the cluster sensor nodes, wherein the specific diagnosis logic is as follows: if the cluster sensor node programming is diagnosed to be failed, the current operation is cancelled and the inaccessible mark node is used for marking the node, and if the cluster sensor node programming is diagnosed to be successful, the current operation is synchronously performed among the cluster sensor nodes, and experimental output data are uploaded to the server center.
2. The enhanced high fidelity, high reliability wireless sensor network test platform of claim 1, wherein: and the Web portal is also integrated with an automatic fault node replacing tool for replacing the cluster sensor nodes diagnosed with faults.
3. The enhanced high fidelity, high reliability wireless sensor network test platform of claim 2, wherein: and the Web portal is also integrated with a data log recording service tool and is used for recording experimental data and uploading logs to the server center.
4. The enhanced high fidelity, high reliability wireless sensor network test platform of claim 3, wherein: the log is uploaded to the server center by adopting a TDMA mechanism.
5. The enhanced high fidelity, high reliability wireless sensor network test platform of claim 4, wherein: each cluster sensor node is provided with a high-speed independent USB port, and the cluster control center is electrically connected with the cluster sensor nodes through the USB ports.
6. The enhanced high fidelity, high reliability wireless sensor network test platform of claim 5, wherein: the server center is configured with two network interface cards, one for the intranet of the server center connected to the cluster control center and the other for public Internet access to the server center.
7. The enhanced high fidelity, high reliability wireless sensor network test platform of claim 6, wherein: the server center also provides parallel programming services.
8. The enhanced high fidelity, high reliability wireless sensor network test platform of claim 7, wherein: and the server center is provided with a timely migration task module.
9. The enhanced high fidelity, high reliability wireless sensor network test platform of claim 7, wherein: the server center may securely retain nodes used in multiple jobs having overlapping job execution time windows.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102026227A (en) * | 2010-12-14 | 2011-04-20 | 广州市香港科大霍英东研究院 | Distributed deployment method for large-scale wireless sensor network testing and debugging |
| CN102307369A (en) * | 2011-09-13 | 2012-01-04 | 北京科技大学 | Device and method for supporting parallel simulation and physical simulation of wireless sensor network |
| CN102938790A (en) * | 2012-11-20 | 2013-02-20 | 无锡城市云计算中心有限公司 | Resource allocation method of cloud computing system |
| CN104507101A (en) * | 2014-12-11 | 2015-04-08 | 华侨大学 | Test platform for network communication protocol of heterogeneous wireless sensor and test method of test platform |
| CN205428171U (en) * | 2015-12-09 | 2016-08-03 | 华南理工大学 | Wind -powered electricity generation field remote real -time monitoring system |
| CN108334370A (en) * | 2017-05-26 | 2018-07-27 | 中国电子科技集团公司第四十研究所 | A kind of software auto-increment update upgrade method of distributed test system |
| CN109144014A (en) * | 2018-10-10 | 2019-01-04 | 北京交通大学 | The detection system and method for industrial equipment operation conditions |
| CN109478057A (en) * | 2016-05-09 | 2019-03-15 | 强力物联网投资组合2016有限公司 | Method and system for the Industrial Internet of Things |
| CN112130864A (en) * | 2019-06-25 | 2020-12-25 | 中兴通讯股份有限公司 | A deployment method and deployment device for private cloud platform service software |
-
2021
- 2021-02-04 CN CN202110157371.0A patent/CN112911536A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102026227A (en) * | 2010-12-14 | 2011-04-20 | 广州市香港科大霍英东研究院 | Distributed deployment method for large-scale wireless sensor network testing and debugging |
| CN102307369A (en) * | 2011-09-13 | 2012-01-04 | 北京科技大学 | Device and method for supporting parallel simulation and physical simulation of wireless sensor network |
| CN102938790A (en) * | 2012-11-20 | 2013-02-20 | 无锡城市云计算中心有限公司 | Resource allocation method of cloud computing system |
| CN104507101A (en) * | 2014-12-11 | 2015-04-08 | 华侨大学 | Test platform for network communication protocol of heterogeneous wireless sensor and test method of test platform |
| CN205428171U (en) * | 2015-12-09 | 2016-08-03 | 华南理工大学 | Wind -powered electricity generation field remote real -time monitoring system |
| CN109478057A (en) * | 2016-05-09 | 2019-03-15 | 强力物联网投资组合2016有限公司 | Method and system for the Industrial Internet of Things |
| CN108334370A (en) * | 2017-05-26 | 2018-07-27 | 中国电子科技集团公司第四十研究所 | A kind of software auto-increment update upgrade method of distributed test system |
| CN109144014A (en) * | 2018-10-10 | 2019-01-04 | 北京交通大学 | The detection system and method for industrial equipment operation conditions |
| CN112130864A (en) * | 2019-06-25 | 2020-12-25 | 中兴通讯股份有限公司 | A deployment method and deployment device for private cloud platform service software |
Non-Patent Citations (1)
| Title |
|---|
| XI JU 等: "NetEye: a user-centered wireless sensor network testbed for high-fidelity, robust experimentation", 《INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS》 * |
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