CN113472649B - Wireless sensing node management method, electronic device and computer readable storage medium - Google Patents
Wireless sensing node management method, electronic device and computer readable storage medium Download PDFInfo
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- CN113472649B CN113472649B CN202010245957.8A CN202010245957A CN113472649B CN 113472649 B CN113472649 B CN 113472649B CN 202010245957 A CN202010245957 A CN 202010245957A CN 113472649 B CN113472649 B CN 113472649B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/64—Routing or path finding of packets in data switching networks using an overlay routing layer
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0893—Assignment of logical groups to network elements
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- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
A wireless sensing node management method, comprising: initializing OpenFlow tables of all registered sensing nodes; initializing a configuration of the sensing node; performing a sensing node energy management method on the sensing node; selecting part of the sensing nodes from the sensing nodes to establish an optimized wireless sensing network; notifying remaining ones of the sensing nodes to enter a sleep state; and updating the OpenFlow table and configuration of the registered sensing nodes. The invention also provides an electronic device and a computer readable storage medium, which apply the concept of separating the control layer and the network layer by the SDN in the industrial Internet of things, and effectively manage the transmission path of the wireless sensing network to prolong the service life of the sensor.
Description
Technical Field
The present invention relates to an industrial internet of things technology, and in particular, to a method for managing a wireless sensing node based on a Software Defined Network (SDN), an electronic device, and a computer-readable storage medium.
Background
Industrial Internet of Things (IIoT) is an application that realizes the concept of Internet of Things (IoT) to refine Industrial production efficiency. The industrial internet of things integrates various types of sensors and controllers, wireless transmission, cloud computing, artificial Intelligence (AI) analysis and other technologies, and is integrated into all links of an industrial production process, so that the manufacturing efficiency is greatly improved, the production cost is reduced, and the traditional industry is finally promoted to an intelligent new stage. The industrial internet of things is combined with a virtual-real fusion System (CPS) to realize intelligent manufacturing and an intelligent factory, namely 4.0.
An Infrastructure Layer (Infrastructure Layer) of an industrial internet of things (IIoT) is a wireless sensing network composed of a large number of sensors (sensors) and controllers (actuators), and the existing sensors and controllers lack the capability of adjusting set parameters in time according to different application requirements. In addition, the sensors or the controller are powered by batteries, and the service life of the battery of one sensor is over, which affects the whole wireless sensing network and the production flow.
Disclosure of Invention
In view of the foregoing, there is a need for a wireless sensing node management method, an electronic device and a computer readable storage medium, which employ the concept of separating a control layer and a network layer in an industrial internet of things by using SDN, and improve the service life of a sensor by efficiently managing a transmission path of a wireless sensing network.
The embodiment of the invention provides a wireless sensing node management method, which comprises the following steps: initializing OpenFlow tables of all registered sensing nodes; initializing a configuration of the sensing node; performing a sensing node energy management method on the sensing node; selecting part of the sensing nodes from the sensing nodes to establish an optimized wireless sensing network; notifying remaining ones of the sensing nodes to enter a sleep state; updating the OpenFlow table and configuration of the registered sensing node; causing the registered sensing nodes to continuously collect and transmit data in the optimized wireless sensing network; judging whether a newly registered or failed sensing node is detected; and if a newly registered or failed sensing node is detected, waking up the sensing node entering the sleep state, and executing the energy management method of the sensing node.
The embodiment of the invention also provides an electronic device which is characterized by comprising an initialization module, an energy management module and a topology control module.
The initialization module is used for initializing OpenFlow tables and configurations of all registered sensing nodes. The energy management module is configured to perform a sensing node energy management method on the sensing node. The topology control module is used for selecting part of the sensing nodes from the sensing nodes to establish an optimized wireless sensing network, informing the rest sensing nodes in the sensing nodes to enter a sleep state, updating the OpenFlow table and the configuration of the registered sensing nodes, enabling the registered sensing nodes to continuously collect and transmit data in the optimized wireless sensing network, judging whether the newly registered or failed sensing nodes are detected, if the newly registered or failed sensing nodes are detected, awakening the sensing nodes entering the sleep state, and executing the energy management method of the sensing nodes
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed, implements the steps of the method for managing a wireless sensing node as described above.
The Wireless sensing Node management method, the electronic device and the computer readable storage medium of the embodiment of the invention are based on the SDN architecture, and the management architecture of the Wireless sensing Node (Wireless Sensor Node) manages the Wireless sensing Node by the SDN separated control plane and data plane, so that the Wireless sensing Node is not only applicable to specific application programs.
Drawings
Fig. 1 is a management architecture diagram of a wireless sensing node according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating steps of a method for managing a wireless sensing node according to an embodiment of the present invention.
FIG. 3 is a flowchart illustrating steps of a method for sensing node energy management according to an embodiment of the present invention.
Fig. 4 is a diagram illustrating Topology Control (Topology Control) of a wireless sensing node according to an embodiment of the invention.
Fig. 5 is a schematic diagram showing a hardware architecture of an electronic device according to an embodiment of the invention.
FIG. 6 is a block diagram of an electronic device according to an embodiment of the invention.
Description of the main elements
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a detailed description of the present invention will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth to provide a thorough understanding of the present invention, and the described embodiments are merely a subset of the embodiments of the present invention, rather than a complete embodiment. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
It should be noted that the description relating to "first", "second", etc. in the present invention is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In addition, technical solutions between the various embodiments can be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should not be considered to exist, and is not within the protection scope of the present invention.
The industrial Internet of things needs a large number of sensors (sensors) with different functions, monitoring and remote control are carried out on production equipment, data collected by cloud computing and data analysis sensors are used for feeding back the data to the production equipment quickly to optimize production flow, and production efficiency is improved.
However, the conventional network architecture cannot meet the requirements of setting parameters of the production equipment, adjusting the network architecture and accommodating a large number of Heterogeneous (Heterogeneous) sensing nodes in the industrial service network at any time according to different production requirements.
The invention uses the concept of Software Defined Networking (SDN) network virtualization to provide an SDN-based Industrial Internet of Things (IoT) Platform, separates the control layer and the data transmission layer of a sensing Node (Sensor Node), and implements device Management and Topology Management (Topology Management) of the sensing Node at the control layer of a core network, while the sensing Node is only responsible for collecting and transmitting data.
Fig. 1 is a management architecture diagram of a wireless sensing node according to an embodiment of the present invention, which includes a Physical Layer (Physical Layer) 110, a Control Layer (Control Layer) 120, and an Application Layer (Application Layer) 130. The management architecture of the wireless sensing node according to the embodiment of the present invention separates the control Layer 120 and the physical Layer 110 (also referred to as Data Layer) of the sensing node by the SDN architecture, and implements device management and topology management of the sensing node at the control Layer 120 of the core network, and the sensing node of the Data Layer 110 is responsible for collecting and transmitting Data.
The data transmission layer 110 at least includes process equipment 1111-1113, sensor nodes 1121-1123, access Point (AP) Sink nodes 1131 and 1132, and switches/ routers 1141 and 1142. The sensor nodes 1121-1123 are responsible for collecting the sensing data of the processing tools 1111-1113, and the sensing data is transferred to the switches/ routers 1141 and 1142 through the wireless AP aggregation nodes 1131 and 1132, and then transferred to the SDN controller 1210 of the control layer 120 through the switches/ routers 1141 and 1142.
The SDN controller 1210 transmits a control command and a Flow Table (Flow Table) to the sensing nodes 1121 to 1123 through an OpenFlow protocol, and the wireless AP aggregation nodes 1131 and 1132 provide a large network transmission bandwidth, aggregate a large amount of sensing data, and forward the aggregated sensing data to the control layer 120 for operation and analysis.
The control layer 120 is a core layer of the SDN industrial internet of things, the SDN controller 1210 receives an instruction and a return execution result of the application layer 130 through a Northbound Interface (Northbound Interface), provides Device management, network Topology management, and sleep schedule management of the sensing nodes through a Topology and Device Manager (Topology & Device Manager) 1220 and a scheduling engine 1230 through a Southbound Interface (Southbound Interface), and determines whether the sensing nodes 1121-1123 enter an operating or sleep mode through the Topology and Device Manager 220 and through detecting power states of surrounding nodes of the sensing nodes 1121-1123, so as to save power of the sensing nodes-1123 and dynamically adjust a Topology state of the wireless sensing network, thereby improving reliability and elasticity of the wireless sensing network.
The Application layer 130 provides an Application Programming Interface (API) that a network administrator or developer can use to design various innovative applications, such as device failure monitoring, device utilization monitoring, and product manufacturing status monitoring. In addition, developers can gather needed data by defining customized data sets to speed up the design, transmission, and processing of new applications. Through the application layer, network and hardware resources can be shared, system performance is optimized, and new application development cost of the industrial Internet of things is reduced.
Fig. 2 is a flowchart illustrating steps of a wireless sensing node management method according to an embodiment of the invention, applied to an electronic device. The order of the steps in the flow chart may be changed and some steps may be omitted according to different needs.
In step S101, the SDN controller initializes OpenFlow tables of all registered Wireless sensing Nodes (Wireless Sensor Nodes).
In step S102, the topology and device manager 1220 initializes Configurations (Configurations) of all registered wireless sensor nodes.
Step S103, a sensing node energy management method is performed on the wireless sensing node.
And step S104, selecting necessary Wireless sensing nodes from the Wireless sensing nodes to establish an optimized Wireless sensing Network (Wireless Sensor Network).
Step S105, notifying the remaining wireless sensing nodes of the wireless sensing nodes to enter a sleep state.
In step S106, the SDN controller 1210 updates OpenFlow tables of all registered wireless sensing nodes.
In step S107, the topology and device manager 1220 updates the configuration of all registered wireless sensing nodes.
In step S108, the wireless sensing node continuously collects and transmits data in the optimized wireless sensing network.
Step S109, determine whether a newly registered or failed wireless sensing node is detected. If not, the process returns to step S108.
In step S110, if a newly registered or failed wireless sensing node is detected, all wireless sensing nodes entering the sleep state are awakened, and then the process returns to step S103 to execute the sensing node energy management method.
Fig. 3 is a flowchart illustrating steps of a sensing node energy management method according to an embodiment of the present invention, which is applied to an electronic device. The order of the steps in the flow chart may be changed and some steps may be omitted according to different needs.
In step S201, the controller obtains the Residual Energy (RE) of the Joining Node (JN).
In step S202, the joining sensing Node JN broadcasts the residual energy to neighboring sensing nodes (Neighbor nodes, NN).
In step S203, one or more Active (Active) neighboring sensing nodes NN of the joining sensing node JN sends a response to the controller.
In step S204, it is determined whether the number of active neighbor sensing nodes NN is less than a default value M.
In step S205, if the number of active neighbor nodes NN is greater than or equal to the default value M, the joining sense node JN enters a sleep mode.
In step S206, if the number of active neighboring sensing nodes NN is less than the default value M, the controller collects the remaining energy of one or more active neighboring sensing nodes NN of the joining sensing node JN.
In step S207, the active neighboring sensing node NN with the residual Energy greater than that of the joining sensing node JN is selected from the one or more active neighboring sensing nodes NN of the joining sensing node JN to create an Energy Map (Energy Map, EM) of the joining sensing node JN.
Step S208, determine whether any 2 sensing nodes in the energy map EM are directly connected.
In step S209, if any 2 sensing nodes in the energy map EM are directly connected, it is determined whether there are non-directly connected sensing nodes in the energy map EM connected within 2 stations (hops) via the joining sensing node JN. If not, the process returns to step S208.
In step S210, if there are sensing nodes not directly connected in the energy map EM connected in 2 stations via the joining sensing node JN, it is determined whether there are at least M active neighboring sensing nodes NN in any joining sensing node JN in the energy map. If so, the joining sense node JN enters the sleep mode (step S205), otherwise, the process returns to step S208.
Fig. 4 is a diagram illustrating Topology Control (Topology Control) of a wireless sensing node according to an embodiment of the invention.
The working states of the wireless sensing nodes comprise initialization, updating, operation and sleep. The wireless sensing node initially performs an initialization operation (operation a), and performs a status update after joining a wireless sensing network (operation b). In the update state, the wireless sensing node executes the sensing network topology optimization algorithm (operation c), and then may enter a run state (operation d), where its OpenFlow table is updated, or a sleep state (operation e) when it finds itself redundant. When the wireless sensing node is in the operating state, if the wireless sensing node is not operated for a fixed time, the wireless sensing node enters the sleep state (operation f). The wireless sensing node waits for receiving a wake-up command (operation g) while in the sleep state, and enters the refresh state (operation h) when receiving the wake-up command.
Each wireless sensing node is provided with a plurality of sensors with different functions, such as temperature, humidity, pressure, vibration and the like and a controller, so as to detect the change of the production environment and the process in real time and immediately report back the controller for optimization processing.
In addition, the agents in each sensing node respectively responsible for performing network topology management and Openflow transfer rule (Flow Entry) management include at least a monitoring and Control Agent (Monitor & Control Agent) and an Openflow Agent.
The monitoring and control agent executes network topology management commands transmitted from the control layer 120, such as controlling the wireless transmission power of the wireless sensing nodes, activating the sensing nodes or entering a sleep state, receiving parameter control of various sensing nodes, and immediately reporting abnormal states.
The OpenFlow agent uses the OpenFlow protocol to execute the data transmission rule management formulated by the control layer 200, and can flexibly add or delete the data transmission rule in real time according to the requirements of different applications so as to optimize the data transmission efficiency of each wireless sensing node.
Fig. 5 is a schematic diagram showing a hardware architecture of an electronic device according to an embodiment of the invention. The electronic device 200, but not limited to, may communicatively couple the processor 210, the memory 220, and the wireless sensing node management system 230 to each other via a system bus, and FIG. 5 illustrates only the electronic device 200 having components 210-230, but it is to be understood that not all of the illustrated components are required to be implemented and that more or fewer components may alternatively be implemented.
The memory 220 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 220 may be an internal storage unit of the electronic device 10, such as a hard disk or a memory of the electronic device 200. In other embodiments, the memory may also be an external storage device of the electronic apparatus 200, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, provided on the electronic apparatus 200. Of course, the memory 220 may also include both an internal storage unit and an external storage device of the electronic apparatus 200. In this embodiment, the memory 220 is generally used for storing an operating system and various application software installed in the electronic device 200, such as program codes of the wireless sensing node management system 230. In addition, the memory 220 may be used to temporarily store various types of data that have been output or are to be output.
The processor 210 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 210 is generally used to control the overall operation of the electronic device 200. In this embodiment, the processor 210 is configured to run program codes stored in the memory 220 or process data, for example, run the wireless sensing node management system 230.
It should be noted that fig. 5 is only an example of the electronic apparatus 200. In other embodiments, electronic device 200 may include more or fewer components, or have a different configuration of components.
FIG. 6 is a functional block diagram of an electronic device for performing a wireless sensor node management method according to an embodiment of the invention. The wireless sensing node management method according to the embodiment of the present invention can be implemented by a computer program stored in a storage medium, for example, the memory 220 of the electronic apparatus 200. When the computer program implementing the method of the present invention is loaded into the memory 220 by the processor 210, the processor 210 of the drive line device 200 executes the method of managing the wireless sensing nodes according to the embodiment of the present invention.
The electronic device 200 of the embodiment of the invention includes an initialization module 310, an energy management module 320, and a topology control module 330.
The initialization module 310 initializes the OpenFlow tables of all registered wireless sensing nodes and initializes the configuration of all registered wireless sensing nodes. The energy management module 320 performs a sensing node energy management method.
The topology control module 330 selects necessary sensing nodes to establish an optimized wireless sensing network, notifies redundant wireless sensing nodes to enter a sleep state, updates OpenFlow tables of all registered wireless sensing nodes, updates configurations of all registered wireless sensing nodes, obtains data continuously collected by the wireless sensing nodes in the optimized wireless sensing network, determines whether a newly registered or failed wireless sensing node is detected, and wakes up all wireless sensing nodes entering the sleep state when a newly registered or failed wireless sensing node is detected.
The sensing node energy management method is illustrated as follows:
the Energy management module 320 obtains the remaining Energy RE of the joining sensing node JN, makes the joining sensing node JN broadcast the remaining Energy to the neighboring sensing nodes NN, obtains a response of one or more active neighboring sensing nodes NN of the joining sensing node JN, determines whether the number of the active neighboring sensing nodes NN is less than a default value M, if the number of the active neighboring sensing nodes NN is greater than or equal to the default value M, makes the joining sensing node JN enter a sleep mode, if the number of the active neighboring sensing nodes NN is less than the default value M, the controller collects the remaining Energy of the one or more active neighboring sensing nodes NN of the joining sensing node JN, selects the active neighboring sensing nodes NN of which the remaining Energy is greater than the joining sensing node JN from the one or more active neighboring sensing nodes NN of the joining sensing node JN to establish an Energy Map (Energy Map of the joining sensing node JN (Energy Map, EM), determines whether any 2 sensing nodes NN in the Energy Map EM are directly connected, if there are 2 sensing nodes in the Energy Map NN connected, determines whether there are any sensing nodes in the Energy Map node NN connected through the active neighboring sensing nodes JN, if there are not the sensing nodes NN connected through the Energy Map node NN, and if there are any sensing nodes in the Energy Map node NN connected through the adjacent sensing node JN, and the sensing node NN connected through the adjacent sensing node NN, and the sensing node NN, and if there are not connected through the sensing node n, and if there are connected through the sensing node n, and the sensing node n.
The modules/units integrated with the electronic device 200 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and which, when executed by a processor, may implement the steps of the above-described embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer memory, read only memory, random access memory, electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It is understood that the above described division of modules is only one logical division, and that in actual implementation, there may be other divisions. In addition, functional modules in the embodiments of the present application may be integrated into the same processing unit, or each module may exist alone physically, or two or more modules are integrated into the same unit. The integrated module can be realized in a hardware form, and can also be realized in a form of hardware and a software functional module.
The wireless sensing node management method, the electronic device and the computer readable storage medium of the embodiment of the invention provide a management architecture of the wireless sensing node based on an SDN architecture, which not only can greatly improve the reliability of the wireless sensing node in the industrial Internet of things, but also provides two advantages: (1) diversity (Versatile): the wireless sensing nodes are managed by a control plane and a data plane separated by an SDN (software defined network), so that the wireless sensing nodes are not only suitable for specific application programs, but also can immediately adjust parameter settings to meet the requirements of various application programs; and (2) elasticity (flexibility): in the industrial Internet of things, policy change of the production flow can be easily executed. By means of SDN centralized management and a data transmission mode for realizing a customizable Flow table, the problem that in the existing Internet of things, a wireless sensing network cannot be adjusted immediately to adapt to new production decisions, so that inconsistent new and old settings are easy to occur can be solved easily.
It will be apparent to those skilled in the art that other changes and modifications can be made based on the technical solutions and concepts provided by the embodiments of the present invention in combination with the actual requirements, and these changes and modifications are all within the scope of the claims of the present invention.
Claims (3)
1. A wireless sensing node management method is applied to an electronic device, and is characterized in that the method comprises the following steps:
initializing OpenFlow tables of all registered sensing nodes;
initializing a configuration of the sensing node;
having the registered sensing nodes continuously collect and transmit data in an optimized wireless sensing network;
judging whether a sensing node newly registered or failed is detected;
if a newly registered or failed sensing node is detected, waking up the sensing node entering a sleep state, and executing a sensing node energy management method, wherein the sensing node energy management method further comprises:
acquiring residual energy added into the sensing node;
causing the joining sensing node to broadcast the remaining energy to one or more neighboring sensing nodes;
receiving responses from the joining sensing node sent by one or more of the neighboring sensing nodes;
determining whether the number of the one or more active neighboring sensing nodes is less than a default value;
if the number of the one or more active neighboring nodes is greater than or equal to the default value, the joining sensing node is made to enter a sleep mode;
collecting remaining energy of the one or more active neighboring sensing nodes of the joining sensing node if the number of the one or more active neighboring sensing nodes is less than the default value M;
selecting an active neighboring sensing node having a remaining energy greater than the joining sensing node from the one or more active neighboring sensing nodes of the joining sensing node to create an energy map of the joining sensing node;
judging whether any 2 sensing nodes in the energy map are directly connected;
if any 2 sensing nodes in the energy map are directly connected, judging whether the sensing nodes which are not directly connected are connected in 2 stations through the joining sensing node in the energy map;
if sensing nodes which are not directly connected in the energy map are connected in the 2 stations through the joining sensing node, then judging whether at least M active adjacent sensing nodes exist in the energy map for any joining sensing node; and
if any joining sensing node has at least M active adjacent sensing nodes in the energy map, enabling the joining sensing node to enter a sleep mode;
selecting part of the sensing nodes from the sensing nodes to establish an optimized wireless sensing network;
notifying remaining ones of the sensing nodes to enter a sleep state; and
and updating the OpenFlow expression configuration of the registered sensing nodes.
2. An electronic device, comprising:
the initialization module is used for initializing OpenFlow tables and configurations of all registered sensing nodes;
an energy management module to perform a sensing node energy management method on the sensing node; and
the topology control module is used for selecting part of the sensing nodes from the sensing nodes to establish an optimized wireless sensing network, informing the rest sensing nodes in the sensing nodes to enter a sleep state, and updating the OpenFlow tables and the configuration of the registered sensing nodes;
wherein:
the topology control module also enables the registered sensing nodes to continuously collect and transmit data in the optimized wireless sensing network, judges whether the newly registered or failed sensing nodes are detected, wakes up the sensing nodes entering a sleep state if the newly registered or failed sensing nodes are detected, and executes the energy management method of the sensing nodes; and
the energy management module obtains residual energy of joining sensing nodes, enables the joining sensing nodes to broadcast the residual energy to one or more adjacent sensing nodes, receives responses sent by one or more active adjacent sensing nodes in the adjacent sensing nodes of the joining sensing nodes, judges whether the number of the one or more active adjacent sensing nodes is smaller than a default value, and enables the joining sensing nodes to enter a sleep mode if the number of the one or more active adjacent sensing nodes is larger than or equal to the default value, collects the residual energy of the one or more active adjacent sensing nodes of the joining sensing nodes when the number of the one or more active adjacent sensing nodes is smaller than the default value M, selects the active adjacent sensing nodes with the residual energy larger than the joining sensing nodes from the one or more active adjacent sensing nodes of the joining sensing nodes to establish an energy map of the joining sensing nodes, judges whether any 2 sensing nodes in the energy map are directly connected or not, judges whether any sensing nodes in the energy map which the sensing nodes are not directly connected through the joining sensing nodes in 2 stations if the energy map has at least one joining sensing node in the sensing nodes, and judges whether any sensing node is directly connected through the joining sensing node in the energy map; and if any joining sensing node has at least M active adjacent sensing nodes existing in the energy map, enabling the joining sensing node to enter a sleep mode.
3. A computer readable storage medium having stored thereon a computer program which, when executed, performs the steps of the wireless sensing node management method of claim 1.
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