CN102123488B - Method for selecting control nodes for complex task cooperative processing in wireless sensor network - Google Patents
Method for selecting control nodes for complex task cooperative processing in wireless sensor network Download PDFInfo
- Publication number
- CN102123488B CN102123488B CN201110050986XA CN201110050986A CN102123488B CN 102123488 B CN102123488 B CN 102123488B CN 201110050986X A CN201110050986X A CN 201110050986XA CN 201110050986 A CN201110050986 A CN 201110050986A CN 102123488 B CN102123488 B CN 102123488B
- Authority
- CN
- China
- Prior art keywords
- node
- nodes
- working region
- sub
- energy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000012545 processing Methods 0.000 title claims abstract description 9
- 238000004891 communication Methods 0.000 claims abstract description 16
- 238000012163 sequencing technique Methods 0.000 claims abstract description 4
- 230000008569 process Effects 0.000 claims description 30
- 239000000203 mixture Substances 0.000 claims description 4
- 230000009191 jumping Effects 0.000 claims description 3
- 238000004321 preservation Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000007812 deficiency Effects 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006424 Flood reaction Methods 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000003975 animal breeding Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000000638 solvent extraction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- Y02B60/50—
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a method for selecting control nodes for complex task cooperative processing in a wireless sensor network. The method comprises the following main steps: in a sensing node working area, position information of all nodes is known; sensing nodes sense a complex task and then describe and decompose the task into a plurality of subtasks; the sensing nodes broadcast messages under the condition that all nodes in the working area return respective ID (Identity) number, position information and energy information; and the sensing nodes carry out sequencing on the nodes according to an energy descending order, analyze an included angle between the two nodes and the sensing nodes, select the nodes according with conditions as control nodes and divide the working area into aplurality of working subareas according to the positions of the control nodes, wherein the quantity of the working subareas is equal to the quantity of the subtasks. The method disclosed by the invention is applied to wireless sensor network communication and can improve the complex task cooperative processing efficiency and save network energy.
Description
Technical field
The present invention relates to the network communication of wireless sensor field, is the control node choosing method of complex task collaborative process in a kind of wireless sensor network specifically.
Background technology
Wireless sensor network (Wireless Sensor Networks) because the subject crossing of its height and widely application prospect be subjected to showing great attention to of academia and industrial quarters all over the world, be emerging forward position hot research direction.It is widely used in many fields and handles responsive information, and application scenarios comprises numerous areas such as military affairs, industry, family, medical treatment ﹠ health, environmental monitoring.Such as, wireless sensor network can carry out accurately and timely forecasting to fire in the building; Emergent occasion when earthquake, floods, severe tropical storm taking place or hit by other disasters also needs this self-organization network technology that does not rely on any fixed network infrastructure, can lay fast of wireless sensor network; In nature reserve area or the wet land protection district that remote, animals and plants are protected, can't adopt the network facilities of fixing or presetting to communicate, undoubtedly be the selection of the best and adopt wireless sensor network to carry out signals collecting with handling.
Wireless sensor node is as the basic composition unit of forming wireless sensor network, is subjected to the influence of all many-sides such as practical application, and its energy, communication radius, computing capability, sensing range etc. all are limited.Generally in actual applications, individual node can't be finished appointed task.The distributed nature of wireless sensor network, make aspect the communications and transportation of vehicle condition complexity, military battlefield in the situation fierceness, aspect the medical care medical treatment, under the animal-breeding base and marine environment of sheet, under the application requirements that need monitor, locate and follow the tracks of target state, require a plurality of sensor nodes to cooperate to reach application demand.Cooperation is as the base attribute of wireless sensor network, it is the fundamental mode of wireless sensor network work, in order to take full advantage of the limited resources of sensor node, the equalizing network energy consumes, choose only node and participate in the collaborative process of task, can avoid unnecessary communication consumption and time delay in the task processing.Complex task cooperates when finding the solution, and needs in advance task to be described and to decompose, and passes through coordinated management by the bigger node of some energy then, after some communications and calculating, picks out cooperative node task is cooperated.
Summed up in recent years in the summary that one piece of wireless-sensor network distribution type that Mauri Kuorilehto writes is used, in the process that the cooperation complex task is handled, intertask communication when task is handled and task immigration are all carrying out in whole working region, the subtask after the division all in the whole working region chosen node carry out task and handle.And when sensing node notified certain node to handle corresponding task, this node is task on handling also, the accumulation that at this moment will bring task, thereby the time delay that causes task to be handled; Or this is just directly refusing the requisition requirement of sensing node at the node of Processing tasks, next task is not handled, and causes invalid communication, increases energy consumption.More than all deficiencies seriously reduced the efficient of complex task collaborative process, wasted network energy.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the purpose of this invention is to provide a kind of in wireless sensor network the control node choosing method of complex task collaborative process, when the method is applied to the wireless sensor network communication, can improve the efficient of complex task collaborative process, save network energy.
For solving the problems of the technologies described above, the technical solution used in the present invention is:
The control node choosing method of complex task collaborative process in the wireless sensor network, this method comprises the steps:
(1) sensing node is described and is decomposed into m subtask to task after perceiving complex task;
(2) the sensing node broadcast requires other nodes in all jumping scopes in the working region to return separately ID number, positional information and energy information, and separately ID number of other nodes general who receives broadcast, positional information and self rest energy return to sensing node;
(3) after sensing node is received the return information of each node, according to the descending order of energy node is sorted, obtain sequence node
,
,
(4) according to the node sequencing in the step (3), sensing node is analyzed two nodes and 3 sizes of forming angle of sensing node, select the satisfactory node of angle value, determine that these nodes are the control node, the number of control node equates with the number of the middle subtask of decomposing of step (1), be m control node, the angle that defines two nodes and 3 compositions of sensing node is
, then have following relation
, wherein, m is the number of subtask,
Be any non-negative positive integer;
(5) the control node of selecting according to step (4), whole working region is divided into and controls the sub-working region that the node number equates, namely be divided into m sub-working region, each control node is responsible for a sub-working region, the numbering of each control node is consistent with the numbering of the sub-working region of managing separately, and node holistic management cooperating process is controlled by m respectively in m subtask in this m sub-working region;
(6) other nodes in the working region are by the position relation of comparison self and sub-working region, determine oneself to belong to which sub-working region, and the sub-working region under will be own number sends to sensing node, sensing node sends to control node in the corresponding sub-working region of having confirmed with ID number of each node in each sub-working region, position coordinates and energy value, the control node is received back preservation information, and analyzes the various attributes of picking out other nodes in the working region and determine which node is as cooperative node.
The control node choosing method of complex task collaborative process is characterized in that in the described wireless sensor network, and step (1) comprises that also sensing node estimates in each subtask processing procedure the energy that the control node should possess at least
Step, and in the described step that descending order sorts to node according to energy of step (3), also comprise in advance with energy less than
The step got rid of of node, obtain new sequence node:
,
,
, wherein,
The control node choosing method of complex task collaborative process is characterized in that in the described wireless sensor network, and is described
Being higher than control node and its other nodes of sub-working region intercoms mutually and selects the concrete calculating consumption of cooperative node in the energy that expends and the collaborative process process.
The control node choosing method of complex task collaborative process is characterized in that in the described wireless sensor network, and the number of other nodes described in the step (2) is
, wherein
,
Be total number of sensing node communication range interior nodes, and
The control node choosing method of complex task collaborative process in the described wireless sensor network, it is characterized in that, the concrete grammar of dividing sub-working region in the step (5) is: the angle of picking out the most close adjacent node of energy, make the angular bisector at this angle, be benchmark with this angular bisector, delimit respectively to both sides
The zone of angular dimension, and then be the zone that benchmark continues outwards to mark off same angle on the limit at the angle that newly marks off with this, divide up to whole zone and finish;
Beneficial effect of the present invention is: compared with prior art, the invention provides a kind of choosing method based on control node in the complex task cooperation solution procedure, the working region energy is distributed more equably, each working region, subtask is separated from each other, and has avoided the time delay that manufactures because of task heap; Partitioning algorithm is comparatively simple, node and the communication distance of control between the node more not subarea processing situation lower node are lacked with the communication distance of sensing node, corresponding communication energy consumption reduces, and having relatively high expectations and require in the real-time that task is handled has good using value under the energy-conservation situation.
Description of drawings
Fig. 1 is the flow chart of the control node choosing method of complex task collaborative process in the wireless sensor network; Fig. 2 is 3 o'clock working region division model for the subtask number that splits.
Embodiment
Below in conjunction with accompanying drawing, describe the specific embodiment of the present invention in detail:
Fig. 1 is the flow chart of the control node choosing method of complex task collaborative process in the wireless sensor network.
As shown in Figure 1: the control node choosing method of complex task collaborative process in the wireless sensor network comprises the steps:
(1) sensing node
After the task of perceiving, task is split into m subtask, and estimate the energy that the control node should possess at least in each subtask processing procedure
, energy wherein
Should be higher than other nodes in control node and its sub-working region and intercom mutually and select the concrete calculating consumption of cooperative node in the energy that expends and the collaborative process process, because this part is relevant with practical application, so fix tentatively
Be a permanent number, then the control node of its different values selected the result and discuss;
(2) sensing node
Send message to other nodes in the one jumping scope
(
Be the number of other nodes,
,
For
Total number of communication range interior nodes, and
), and require node to return self ID number, position coordinates and energy information
, receive
The node of broadcast returns to sensing node with self rest energy;
(3) after sensing node is received the return information of each node, according to the descending order of energy node is sorted, obtain sequence node
,
,
, and with energy less than
Node from the sequence of alternative control node, reject, obtain a new sequence node:
,
,
,
, select control and carry out in proper order according to this during node, can guarantee that the control node energy is enough big in overstocked avoiding controlling node;
(4) according to the node sequencing in the step (3), sensing node is analyzed two nodes and 3 sizes of forming angle of sensing node, select the satisfactory node of angle value, determine that these nodes are the control node, the number of control node equates with the number of the middle subtask of decomposing of step (1), be m control node, the angle that defines two nodes and 3 compositions of sensing node is
, then have following relation
, wherein, m is the number of subtask,
Be any non-negative positive integer, be specially:
Compare in the following order
,
,
,
,
,
,
,
,
, up to finding m node, and m
,
,
Angle value
There is following relation
(m is the number of subtask,
Be non-negative positive integer arbitrarily), with what satisfy with co-relation
Be picked as the control node;
(5) the control node of selecting according to step (4), whole working region is divided into and controls the sub-working region that the node number equates, namely be divided into m sub-working region, each control node is responsible for a sub-working region, the numbering of each control node is consistent with the numbering of the sub-working region of managing separately, node holistic management cooperating process is controlled by m respectively in m subtask in this m sub-working region, wherein, the concrete grammar of dividing sub-working region is: pick out the angle between two the most close nodes of adjacent node energy
, make the angular bisector at this angle then, be benchmark with this angular bisector, delimit respectively to both sides
The zone of angular dimension, and then be the zone that benchmark continues outwards to mark off same angle on the limit with this new division angle of departure, divide up to whole zone and finish, like this, the working region is divided into m sub-working region, and the angle value of each subregion is
, and the sub-working region after dividing is separated from each other, and comprises a control node in each working region, can guarantee the subtask be assigned to sub-working region after system have enough abilities to handle;
(6) other nodes in the working region are by the position relation of comparison self and sub-working region, determine oneself to belong to which sub-working region, and the sub-working region under will be own number sends to sensing node, sensing node sends to control node in the corresponding sub-working region of having confirmed with ID number of each node in each sub-working region, position coordinates and energy value, the control node is received back preservation information, and the node of control node unified management in its control area;
(7) in the process of complex task collaborative process, nodal information in the working region that sensing node obtains in the control direct download step of node (1), the various attributes of other nodes determine which node is as cooperative node in the analytical work zone, and avoided again broadcast to require its working region node to return the communication consumption that self information brings, conserve energy.
Fig. 2 is 3 o'clock working region division model for the subtask number that splits.
As shown in Figure 2: sensing node
After the task of perceiving, task is split into 3 subtasks.Line segment is selected by polar coordinate representation in the each point position among Fig. 2
Be polar datum line, namely
Polar coordinates be (0,0),
Polar coordinates be (
, 0), sensing node is arranged as each node from high to low according to energy
,
,
,
,
, their polar coordinate representation be followed successively by (
, 0), (
,
), (
,
), (
,
), (
,
) ... (
,
) ... (
,
).
Calculate successively then
,
,
,
,
,
,
,
,
,
, a series of up to existing
(
Be non-negative positive integer arbitrarily), and this series memory only is made of m angle in this m expression formula m expression formula, each angle appearance twice, and the node of then selecting this m angle correspondence is m and controls node.
Select immediate two nodes of subscript in this m the control node
With
(
), and do
Angular bisector, as the angle separated time among Fig. 2: S
0A, polar angle value of having a few on this angular bisector is
, angular bisector is initial thus delimit an angle simultaneously and is to both sides
The zone, in the present embodiment, the angle value of delimitation is
, according to identical method whole working region is divided into m sub-working region again, in the present embodiment, be to be divided into 3 sub-working regions, when one of every delimitation was regional, polar angle value of having a few on the boundary line was determined successively.
The control node
The polar angle scope of control area be [
,
],
The control node
The polar angle scope of control area be [
,
], according to this step, the angular range of the working region that the The whole control node is divided for [
,
], wherein
Sensing node whether in same scope, determines whether node controls node administration by this by each node polar angle relatively and control node polar angle, and the node ID number that will belong to same scope sends to corresponding control node.
The above only is preferred implementation of the present invention; be noted that for those skilled in the art; under the prerequisite that does not break away from the principle of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Below disclose the present invention with preferred embodiment, so it is not in order to limiting the present invention, and all employings are equal to replaces or technical scheme that the equivalent transformation mode obtains, all drops within protection scope of the present invention.
Claims (4)
1. the control node choosing method of complex task collaborative process in the wireless sensor network is characterized in that this method comprises the steps:
(1) sensing node is described and is split as m subtask to task after perceiving complex task;
(2) the sensing node broadcast requires other nodes in all jumping scopes in the working region to return separately ID number, positional information and energy information, and separately ID number of other nodes general who receives broadcast, positional information and self rest energy return to sensing node;
(3) after sensing node is received the return information of each node, according to the descending order of energy node is sorted, obtain sequence node
,
,
(4) according to the node sequencing in the step (3), sensing node is analyzed two nodes and 3 sizes of forming angle of sensing node, select the satisfactory node of angle value, determine that these nodes are the control node, the number of control node equates with the number of the middle subtask of decomposing of step (1), be m control node, the angle that defines two nodes and 3 compositions of sensing node is
, then have following relation
, wherein, m is the number of subtask,
Be any non-negative positive integer;
(5) the control node of selecting according to step (4), whole working region is divided into and controls the sub-working region that the node number equates, namely be divided into m sub-working region, each control node is responsible for a sub-working region, the numbering of each control node is consistent with the numbering of the sub-working region of managing separately, and node holistic management cooperating process is controlled by m respectively in m subtask in this m sub-working region;
(6) other nodes in working region are by the position relationship of comparison self and sub-working region, determine oneself to belong to which sub-working region, and own affiliated sub-working region number is sent to sensing node, sensing node sends to control node in the corresponding sub-working region of having confirmed with No. ID of each node in every sub-working region, position coordinates and energy value, control node and receive rear preservation information, then in the analytical work zone, the various attributes of other nodes determine which node is as cooperative node
The number of other nodes described in the step (2) is
, wherein
,
Be total number of sensing node communication range interior nodes, and
2. the control node choosing method of complex task collaborative process in the wireless sensor network according to claim 1 is characterized in that, step (1) comprises that also sensing node estimates in each subtask processing procedure the energy that the control node should possess at least
Step, and in the described step that descending order sorts to node according to energy of step (3), also comprise in advance with energy less than
The step got rid of of node, obtain new sequence node:
,
,
, wherein,
3. the control node choosing method of complex task collaborative process in the wireless sensor network according to claim 2 is characterized in that, and is described
Being higher than control node and its other nodes of sub-working region intercoms mutually and selects the concrete calculating consumption of cooperative node in the energy that expends and the collaborative process process.
4. the control node choosing method of complex task collaborative process in the wireless sensor network according to claim 1, it is characterized in that, the concrete grammar of dividing sub-working region in the step (5) is: the angle of picking out the most close adjacent node of energy, make the angular bisector at this angle, be benchmark with this angular bisector, mark respectively to both sides
The zone of angular dimension, and then be the zone that benchmark continues outwards to mark off same angle on the limit at the angle that newly marks off with this, divide up to whole zone and finish.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110050986XA CN102123488B (en) | 2011-03-03 | 2011-03-03 | Method for selecting control nodes for complex task cooperative processing in wireless sensor network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110050986XA CN102123488B (en) | 2011-03-03 | 2011-03-03 | Method for selecting control nodes for complex task cooperative processing in wireless sensor network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102123488A CN102123488A (en) | 2011-07-13 |
| CN102123488B true CN102123488B (en) | 2013-10-02 |
Family
ID=44251895
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110050986XA Expired - Fee Related CN102123488B (en) | 2011-03-03 | 2011-03-03 | Method for selecting control nodes for complex task cooperative processing in wireless sensor network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102123488B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103686918A (en) * | 2014-01-14 | 2014-03-26 | 北京航空航天大学 | Task decomposition based semantic communication routing protocol for wireless sensor networks |
| CN113178937B (en) * | 2021-05-27 | 2023-01-06 | 珠海创旗科技有限公司 | Self-powered ocean Internet of things node and system |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101483887A (en) * | 2009-02-25 | 2009-07-15 | 南京邮电大学 | Multi-proxy collaboration method applied to wireless multimedia sensor network |
-
2011
- 2011-03-03 CN CN201110050986XA patent/CN102123488B/en not_active Expired - Fee Related
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101483887A (en) * | 2009-02-25 | 2009-07-15 | 南京邮电大学 | Multi-proxy collaboration method applied to wireless multimedia sensor network |
Non-Patent Citations (4)
| Title |
|---|
| A Middleware for Task Allocation in Wireless Sensor Networks;Mauri Kuorilehto et al;《2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications》;20050914;第821－826页 * |
| A Survey of Application Distribution inWireless Sensor Networks;Mauri Kuorilehto et al;《EURASIP Journal onWireless Communications and Networking》;20051031;第2005卷(第5期);第774-788页 * |
| Mauri Kuorilehto et al.A Middleware for Task Allocation in Wireless Sensor Networks.《2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications》.2005,第821－826页. |
| Mauri Kuorilehto et al.A Survey of Application Distribution inWireless Sensor Networks.《EURASIP Journal onWireless Communications and Networking》.2005,第2005卷(第5期),第774-788页. |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102123488A (en) | 2011-07-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Liu et al. | Knowledge-aware proactive nodes selection approach for energy management in Internet of Things | |
| CN102638863B (en) | Method for tracking moving targets in wireless sensor networks | |
| CN101241177B (en) | Wireless sensor network positioning system facing to three dimensional space | |
| Zheng et al. | Green energy optimization in energy harvesting wireless sensor networks | |
| CN101896002B (en) | Rapid data aggregation-oriented wireless sensor and actor network clustering method | |
| CN103249110B (en) | A kind of wireless sense network method for tracking target based on dynamic tree | |
| CN102448123A (en) | Task allocation algorithm in wireless sensor network based on node property | |
| Su et al. | Coordination for dynamic weighted task allocation in disaster environments with time, space and communication constraints | |
| John et al. | Energy saving cluster head selection in wireless sensor networks for internet of things applications | |
| CN101917777B (en) | Wireless sensor network node sleep qualification judging method based on cooperation between neighboring nodes | |
| CN102123488B (en) | Method for selecting control nodes for complex task cooperative processing in wireless sensor network | |
| CN104965964B (en) | A kind of building personnel's distributed model method for building up based on monitor video analysis | |
| CN103702384B (en) | Application-oriented clustering routing method of wireless sensor network | |
| Xing et al. | Collaborative Target Tracking in Wireless Sensor Networks. | |
| CN104168631A (en) | Wireless sensor network energy balance coverage scheduling and cross-layer routing design method | |
| CN106851800B (en) | Anchor node scheduling method in wireless sensor network positioning | |
| Vaidya et al. | A framework for sensor management in wireless and heterogeneous sensor network | |
| Kumar et al. | Cluster-based position tracking of mobile sensors | |
| Lv et al. | A node coverage algorithm for a wireless-sensor-network-based water resources monitoring system | |
| CN108427284A (en) | A kind of cascaded structure multi-agent system coordinative coherence control method | |
| Shao et al. | A spanning tree algorithm for data aggregation in wireless sensor networks | |
| CN102497642B (en) | Weak fence coverage constructing method for moveable heterogeneous sensor network | |
| Li et al. | An improved chaotic ant colony algorithm | |
| CN104780583A (en) | Hierarchical clustering algorithm on basis of energy consumption of path and residual energy of nodes | |
| Zhao et al. | A Novel Threshold-Controllable Algorithm for Moving Target Coverage. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: XU AIPING Free format text: FORMER OWNER: CHANGZHOU CAMPUS, HOHAI UNIVERSITY Effective date: 20140310 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 213022 CHANGZHOU, JIANGSU PROVINCE TO: 213300 CHANGZHOU, JIANGSU PROVINCE |
|
| TR01 | Transfer of patent right |
Effective date of registration: 20140310 Address after: 213300 No. 168, Shen Shen road, hi tech Innovation Park, Jiangsu, Liyang Patentee after: Xu Aiping Address before: 213022 Changzhou Jin Ling North Road, Jiangsu, No. 200 Patentee before: CHANGZHOU CAMPUS OF HOHAI University |
|
| ASS | Succession or assignment of patent right |
Owner name: CHANGZHOU ANKONG ELECTRIC APPLIANCE COMPLETE EQUIP Free format text: FORMER OWNER: XU AIPING Effective date: 20150310 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20150310 Address after: 213300 Jiangsu city of Changzhou province Liyang Liyang Town of hi tech Park Wuhu Road No. 168 Patentee after: CHANGZHOU CITY ANKONG ELECTRICAL APPLIANCE COMPLETE SET EQUIPMENT CO.,LTD. Address before: 213300 No. 168, Shen Shen road, hi tech Innovation Park, Jiangsu, Liyang Patentee before: Xu Aiping |
|
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20131002 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |