CN102752785A - Interference model measurement method and device for wireless sensor network - Google Patents

Interference model measurement method and device for wireless sensor network Download PDF

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CN102752785A
CN102752785A CN2012102345587A CN201210234558A CN102752785A CN 102752785 A CN102752785 A CN 102752785A CN 2012102345587 A CN2012102345587 A CN 2012102345587A CN 201210234558 A CN201210234558 A CN 201210234558A CN 102752785 A CN102752785 A CN 102752785A
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CN102752785B (en
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朱燕民
刘通
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Shanghai Jiaotong University
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Abstract

The invention provides an interference model measurement method and an interference model measurement device for a wireless sensor network. The method comprises the following steps of: performing system initialization on the wireless sensor network; selecting a part of nodes from the wireless sensor network to form a first node set, and calculating a signal to interference plug noise ratio (SINR) value and a corresponding packet reception ratio (PRR) by acquiring the data transmitted by the nodes; performing selection and updating according to the number of SINR intervals, each of which all nodes can measure that a point (SINR, PRR) falls in; and performing loop detection according to judgment rules until the selection of the node set is finished. The scheme is applied to any static wireless sensor network, the accuracy can be ensured, and the network overhead can be reduced.

Description

Interference model method of measurement and device in a kind of wireless sense network
Technical field
The present invention relates to the information Control technical field, interference model method of measurement and device in particularly a kind of wireless sense network.
Background technology
Along with the continuous development of science and technology, the application of wireless sense network is extensive further.During U.S. the Vietnam War that wireless sense network appears at twentieth century seventies was the earliest striven, in recent years, along with the raising of sensor node computing capability and reducing of volume, existing many wireless sense networks dropped into commercial application, like fields such as environmental monitoring, medical treatment and nursing.Wireless sense network is made up of a large amount of sensor nodes, and the wireless signal through multi-hop between the sensor node communicates, and when having a plurality of communications to carry out simultaneously in the space, may produce interference each other, causes losing of data packets for transmission.Interference model has been portrayed the situation of disturbing in the wireless sense network that exists.The accurate interference model helps the design of some Upper Level Network Protocol, like routing algorithm and channel dispatch.Research shows, the interference model that in the past often was used is as based on jumping figure with based on having bigger error between the interference model of distance and the reality, and the PRR-SINR interference model then has very high precision.PRR (Packet Reception Ratio) is the packet acceptance rate; SINR (Signal to Interference plus Noise Ratio) is signal and interference-plus-noise ratio; The PRR-SINR model has been portrayed interference intensity with SINR, disturbs the influence that packet is received thereby portrayed.The PRR-SINR model has following characteristics: the relation between (1) PRR and the SINR is that which node and their transmitting power, transmission channel are irrelevant with sending node, disturbing node.(2) the PRR-SINR model exists between a transition zone, and when the SINR value changed in this is interval, the value of PRR was gradually varied to 1 by 0.(3) the PRR-SINR model that records in different time or different places of different sensors node is different.
Several characteristic by above PRR-SINR model can know that each node in the wireless sense network need be measured the interference model of setting up oneself through implementing ground.The method of measurement of the PRR-SINR model that exists at present has type in two: a kind of is method of measurement initiatively; When the node in the network need measure the PRR-SINR model; Suspend the transfer of data in the network; Select some nodes to transmit the packet of some simultaneously, other nodes record corresponding SINR and PRR value through receiving these packets, repeat said process; Make each node to set up its oneself interference model through the SINR that records and PRR value, a kind of method of initiatively measuring is that the node of each picked at random some sends packet simultaneously; Another kind is passive method of measurement; When network is tree-like topological structure; The node of measuring the PRR-SINR model send to their common father's nodes with the timestamp that can they be received and send packet to the node that its generation is disturbed in daily transfer of data, is calculated the interference model of this node by father's node.The advantage of first method is can measure its PRR-SINR model for each node at any time, and shortcoming is that the expense of network is bigger; The advantage of second method is that the expense of network is little, and shortcoming is to guarantee to record within a certain period of time the PRR-SINR model of any sensor node.
The problem that exists to initiatively method of measurement in the prior art; How to provide a kind of method of measurement of the fast active of low expense to constitute for the wireless sense network emphasis of design, this programme proposes that interference model method of measurement and device are one of information Control technical field problems anxious to be solved at present in a kind of wireless sense network.
Summary of the invention
In view of this; The embodiment of the invention has proposed interference model method of measurement and device in a kind of wireless sense network, through wireless sense network is carried out system initialization, chooses first nodal set of part node formation in the wireless sense network then; Through obtaining the data computation SINR value and corresponding packet receptance PRR that node sends; Then record the interval number of SINR in the SINR interval and select and upgrade, finally carry out cycle detection, up to the selection of accomplishing nodal set according to judgment rule according to node; This programme is applicable to the wireless sense network of any static state, can guarantee that precision can reduce network overhead again.
For solving the problems of the technologies described above, the purpose of the embodiment of the invention realizes through following technical scheme:
Interference model method of measurement in a kind of wireless sense network comprises:
Step 1, wireless sense network is carried out system initialization;
Step 2, choose in the wireless sense network part node and form first nodal set, through obtaining the data computation SINR value that node sends and the packet receptance PRR of correspondence;
Step 3, record the interval number of SINR in the SINR interval according to node and select and upgrade;
Step 4, carry out cycle detection, up to the selection of accomplishing nodal set according to judgment rule.
Preferably, in the above-mentioned steps one, system initialization be in the network all nodes all do not record any (SINR, PRR) point, PRR are the packet acceptance rate, SINR is signal and interference-plus-noise ratio.
Preferably, in the above-mentioned steps two, further comprise and form first nodal set by the part node in the network choosing several.
Preferably; Above-mentionedly comprise that further optional node joins in this nodal set; When having only a node to send packet in the network, do not disturb node owing to have only the node of transmission, other nodes can not record the SINR value; (SINR PRR) drops on the interval number M 1=0 of SINR in certain SINR interval so all nodes can record.
Preferably; In the above-mentioned steps three, further comprise, if after calculating joins certain node in this nodal set the node beyond all nodal sets in the traverses network; All nodes can record that (SINR PRR) drops on the interval number M 2 of SINR in certain SINR interval.
Preferably, in the above-mentioned steps three, further comprise with selecting that maximum node of M2 value, if a plurality of such nodes are arranged; Then optional one,, this node is joined in the nodal set when its M2 value during greater than the M1 value; Obtain new nodal set, upgrade the value of M1 simultaneously, i.e. M1=M2.
Preferably; Above-mentioned steps four further comprises repeating step three; Up to working as maximum M2 value, explain any node is joined current nodal set that the interval number of the SINR that nodal set is satisfied increases smaller or equal to the M1 value; Then the selection of node finishes in the nodal set, and promptly nodal set is selected has come out.
Preferably, in the above-mentioned steps four, further comprise if all nodes can both record at least one (SINR, PRR) point then the selection of nodal set is finished, otherwise repeating step three and step 4 are chosen next nodal set in the network in each SINR interval.
Interference model measurement mechanism in a kind of wireless sense network; Comprise initialization unit, computing unit, selected cell and cycle detection unit; Through wireless sense network is carried out system initialization; Choose in the wireless sense network part node then and form first nodal set, through obtaining the data computation SINR value and corresponding packet receptance PRR that node sends, the number that then records the SINR interval in the SINR interval according to node is selected and is upgraded; Finally carry out cycle detection, up to the selection of accomplishing nodal set according to judgment rule.
Preferably, above-mentioned initialization unit is used for wireless sense network is carried out system initialization.
Preferably, the aforementioned calculation unit is used for choosing wireless sense network part node and forms first nodal set, through obtaining the data computation SINR value and corresponding packet receptance PRR that node sends.
Preferably, above-mentioned selected cell is used for recording the interval number of SINR in the SINR interval according to node and selects and upgrade.
Preferably, above-mentioned cycle detection unit is used for carrying out cycle detection according to judgment rule, up to the selection of accomplishing nodal set.
In sum; The invention provides interference model method of measurement and device in a kind of wireless sense network,, choose first nodal set of part node formation in the wireless sense network then through wireless sense network is carried out system initialization; Through obtaining the data computation SINR value and corresponding packet receptance PRR that node sends; Then record the interval number of SINR in the SINR interval and select and upgrade, finally carry out cycle detection, up to the selection of accomplishing nodal set according to judgment rule according to node; This programme is applicable to the wireless sense network of any static state, can guarantee that precision can reduce network overhead again.
Description of drawings
Fig. 1 is this programme PRR-SINR model for this programme;
Fig. 2 is interference model method of measurement sketch map in a kind of wireless sense network of the present invention;
Fig. 3 is the initiatively block diagram of method of measurement of this programme;
Fig. 4 is the present invention's one specific embodiment method flow diagram;
Fig. 5 is interference model measurement mechanism sketch map in a kind of wireless sense network of the present invention.
Embodiment
Interference model method of measurement and device in a kind of wireless sense network that the embodiment of the invention provides; Through wireless sense network is carried out system initialization; Choose in the wireless sense network part node then and form first nodal set, through obtaining the data computation SINR value and corresponding packet receptance PRR that node sends, the number that then records the SINR interval in the SINR interval according to node is selected and is upgraded; Finally carry out cycle detection according to judgment rule; Up to the selection of accomplishing nodal set, this programme is applicable to the wireless sense network of any static state, can guarantee that precision can reduce network overhead again.
For making the object of the invention, technical scheme and advantage clearer, the embodiment that develops simultaneously with reference to the accompanying drawings is to further explain of the present invention.
PRR (Packet Reception Ratio) is the packet acceptance rate; SINR (Signal to Interference plus Noise Ratio) is signal and interference-plus-noise ratio; The PRR-SINR model has been portrayed interference intensity with SINR, disturbs the influence that packet is received thereby portrayed.
Main thought of the present invention is: design the method that a kind of active is measured, choose the nodal set that several are made up of the part node in the network.In each is taken turns; All nodes in nodal set send packet simultaneously; Other nodes in the network record its SINR value and corresponding packet receptance through monitoring these datagrams; When a node record (SINR PRR) distributes between the transition zone in the PRR-SINR model when abundant, and it can set up the interference model of oneself.After several nodal sets of choosing sent packet successively, each node in the network can record its PRR-SINR model.
In addition; Can record high-precision PRR-SINR model quickly and efficiently in order to ensure each node; Be divided into several five equilibriums between the transition zone of this programme, guarantee during measurement can both measure at least one (SINR, PRR) point in the SINR interval after each is divided the PRR-SINR model.When node record (SINR, PRR) be distributed between transition zone outer or accumulate among a small circle in the time, the one, be unfavorable for the foundation of PRR-SINR model, the 2nd, can cause the waste of network overhead.As shown in Figure 1, be this programme PRR-SINR model.
The embodiment of the invention provides interference model method of measurement in a kind of wireless sense network, and as shown in Figure 2, concrete steps comprise:
Step 1, wireless sense network is carried out system initialization;
Particularly; In embodiments of the present invention; This programme provides a kind of precision that can guarantee can reduce the centralized method of measurement of network overhead again, and this method is applicable to the wireless sense network of any static state, in this programme, supposes the positional information and the transmitting power of all nodes in the known network
Wherein, in this programme, system initialization is that all nodes all do not record any (SINR, PRR) point, and prepare to calculate and to choose first nodal set in the network.PRR (Packet Reception Ratio) is the packet acceptance rate, and SINR (Signal to Interference plus Noise Ratio) is signal and interference-plus-noise ratio.
Step 2, choose in the wireless sense network part node and form first nodal set, through obtaining the data computation SINR value that node sends and the packet receptance PRR of correspondence;
Particularly, in embodiments of the present invention, form first nodal set by the part node in the network with choosing several.In each was taken turns, all nodes in nodal set sent packet simultaneously, and other nodes in the network record its SINR value and corresponding packet receptance PRR through monitoring these datagrams.
Further; In this programme, can nodal set be initialized as empty set, optional then node joins in this nodal set, when having only a node to send packet in the network; Do not disturb node owing to have only the node of transmission; Other nodes can not record the SINR value, and (SINR PRR) drops on the interval number M 1=0 of SINR in certain SINR interval so all nodes can record.
Step 3, record the interval number of SINR in the SINR interval according to node and select and upgrade;
Particularly; In embodiments of the present invention, with the node beyond all nodal sets in the traverses network, if after calculating joins certain node in this nodal set; All nodes can record that (SINR PRR) drops on the interval number M 2 of SINR in certain SINR interval.
Further,,, then choose one wantonly,, this node is joined in the nodal set, obtain new nodal set, upgrade the value of M1 simultaneously, i.e. M1=M2 when its M2 value during greater than the M1 value if a plurality of such nodes are arranged with selecting that maximum node of M2 value.
Step 4, carry out cycle detection, up to the selection of accomplishing nodal set according to judgment rule.
Particularly; In embodiments of the present invention, will repeat above-mentioned steps three, up to working as maximum M2 value smaller or equal to the M1 value; Explain any node is joined current nodal set; The interval number of the SINR that nodal set is satisfied increases, and then the selection of node finishes in the nodal set, and promptly nodal set is selected has come out.
Further, if all nodes can both record at least one (SINR, PRR) point then the selection of nodal set is finished, otherwise repeating step three and step 4 are chosen next nodal set in the network in each SINR interval.
In addition, the present invention's one specific embodiment is following:
At first, explain the method for initiatively measuring in conjunction with accompanying drawing 3.At first, system needs more known external informations, comprising: the precision of moving rate of the positional information of all nodes and emission and the PRR-SINR model that records is as required confirmed good umber with five equilibrium between transition zone in the wireless sense network.Then, go out to send simultaneously the nodal set of packet according to these information calculations.When the node in the network need measure the PRR-SINR model; Suspend the transfer of data in the network; Send one successively according to the nodal set that calculates and take turns packet, all nodes according to receive that packet records (SINR PRR) sets up the PRR-SINR model.Otherwise network carries out daily transfer of data.
Accompanying drawing 4 is the present invention's one specific embodiment method flow diagram, and accompanying drawing is elaborated to the algorithm of the calculating nodal set of the present invention's design, may further comprise the steps:
(1) system initialization, all nodes do not record all that any (the number M 1=0 that the SINR that can be satisfied is interval calculates first nodal set S that chooses below for SINR, PRR) point in the network;
(2) nodal set S is initialized as empty set; Optional then node joins among the S; When having only a node to send packet in the network, do not disturb node owing to have only the node of transmission, other nodes can not record the SINR value; (SINR PRR) drops on the interval number M 1=0 of SINR in certain SINR interval so all nodes can record;
(3) node beyond all nodal set S in the traverses network, if calculate join certain node k in this nodal set after, all nodes can record that (SINR PRR) drops on the number M 2 (k) in the SINR interval in certain SINR interval;
(4) in addition the maximum of M2 (k) is M2, as its M2>during the M1 value, the node of selecting a M2 (k) value to equal M2 joins in the nodal set, obtains new nodal set S, upgrades the value of M1 simultaneously, i.e. M1=M2;
(5) repeating step (3) and (4); Up to working as the M2 value, explain any node is joined current nodal set that the interval number of the SINR that nodal set is satisfied increases smaller or equal to the M1 value; Then the selection of node finishes in the nodal set, and promptly nodal set is selected has come out;
(6) if the measurement requirement of PRR-SINR model satisfies, then algorithm finishes, otherwise repeating step (2) (3) (4) (5) is chosen next nodal set.
The measurement requirement of PRR-SINR model is that each node can both record at least one (SINR, PRR) point in the SINR of each behind the five equilibrium interval between with transition zone.
In addition, the embodiment of the invention also provides interference model measurement mechanism in a kind of wireless sense network.As shown in Figure 5, interference model measurement mechanism sketch map in a kind of wireless sense network that provides for the embodiment of the invention.
Interference model measurement mechanism in a kind of wireless sense network comprises initialization unit 11, computing unit 22, selected cell 33 and cycle detection unit 44.
Initialization unit 11 is used for wireless sense network is carried out system initialization;
Particularly; In embodiments of the present invention; This programme provides a kind of precision that can guarantee can reduce the centralized method of measurement of network overhead again, and this method is applicable to the wireless sense network of any static state, in this programme, supposes the positional information and the transmitting power of all nodes in the known network
Wherein, in this programme, system initialization is that all nodes all do not record any (SINR, PRR) point, and prepare to calculate and to choose first nodal set in the network.PRR (Packet Reception Ratio) is the packet acceptance rate, and SINR (Signal to Interference plus Noise Ratio) is signal and interference-plus-noise ratio.
Computing unit 22 is used for choosing wireless sense network part node and forms first nodal set, through obtaining the data computation SINR value and corresponding packet receptance PRR that node sends;
Particularly, in embodiments of the present invention, form first nodal set by the part node in the network with choosing several.In each was taken turns, all nodes in nodal set sent packet simultaneously, and other nodes in the network record its SINR value and corresponding packet receptance PRR through monitoring these datagrams.
Further; In this programme, can nodal set be initialized as empty set, optional then node joins in this nodal set, when having only a node to send packet in the network; Do not disturb node owing to have only the node of transmission; Other nodes can not record the SINR value, and (SINR PRR) drops on the interval number M 1=0 of SINR in certain SINR interval so all nodes can record.
Selected cell 33 is used for recording the interval number of SINR in the SINR interval according to node and selects and upgrade;
Particularly; In embodiments of the present invention, with the node beyond all nodal sets in the traverses network, if after calculating joins certain node in this nodal set; All nodes can record that (SINR PRR) drops on the interval number M 2 of SINR in certain SINR interval.
Further,,, then choose one wantonly,, this node is joined in the nodal set, obtain new nodal set, upgrade the value of M1 simultaneously, i.e. M1=M2 when its M2 value during greater than the M1 value if a plurality of such nodes are arranged with selecting that maximum node of M2 value.
Cycle detection unit 44 is used for carrying out cycle detection according to judgment rule, up to the selection of accomplishing nodal set.
Particularly; In embodiments of the present invention, will repeat above-mentioned steps three, up to working as maximum M2 value smaller or equal to the M1 value; Explain any node is joined current nodal set; The interval number of the SINR that nodal set is satisfied increases, and then the selection of node finishes in the nodal set, and promptly nodal set is selected has come out.
Further, if all nodes can both record at least one (SINR, PRR) point then the selection of nodal set is finished, otherwise repeating step three and step 4 are chosen next nodal set in the network in each SINR interval.
The time complexity which nodal set the calculating of the embodiment of the invention selects send the algorithm of packet is a polynomial time, explains that this method of measurement is applicable to the wireless sense network that scale is big, the node number is many.What the present invention designed is the active measuring method for measuring, can implement this method at any time, thereby record the PRR-SINR model when needed.The present invention sends the nodal set of packet simultaneously through reasonable arrangement, is guaranteeing that the PRR-SINR model that records has under the prerequisite of certain precision, and each node in the network that can rapid low consumption is set up interference model.The present invention is applicable to the wireless sense network of any static state, and the experimental result through emulation experiment has proved reliability of the present invention and superiority.
One of ordinary skill in the art will appreciate that and realize that all or part of step that the foregoing description method is carried is to instruct relevant hardware to accomplish through program; Described program can be stored in a kind of computer-readable recording medium; This program comprises one of step or its combination of method embodiment when carrying out.
In addition, each functional unit in each embodiment of the present invention can be integrated in the processing module, also can be that the independent physics in each unit exists, and also can be integrated in the module two or more unit.Above-mentioned integrated module both can adopt the form of hardware to realize, also can adopt the form of software function module to realize.If said integrated module realizes with the form of software function module and during as independently production marketing or use, also can be stored in the computer read/write memory medium.
In sum; This paper provides interference model method of measurement and device in a kind of wireless sense network, through wireless sense network is carried out system initialization, chooses first nodal set of part node formation in the wireless sense network then; Through obtaining the data computation SINR value and corresponding packet receptance PRR that node sends; Then record the interval number of SINR in the SINR interval and select and upgrade, finally carry out cycle detection, up to the selection of accomplishing nodal set according to judgment rule according to node; This programme is applicable to the wireless sense network of any static state, can guarantee that precision can reduce network overhead again.
More than interference model method of measurement and device in a kind of wireless sense network provided by the present invention have been carried out detailed introduction; Used concrete example among this paper principle of the present invention and execution mode are set forth, the explanation of above embodiment just is used for helping to understand scheme of the present invention; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that on embodiment and range of application, all can change, in sum, this description should not be construed as limitation of the present invention.

Claims (13)

1. interference model method of measurement in the wireless sense network is characterized in that said method comprises:
Step 1, wireless sense network is carried out system initialization;
Step 2, choose in the wireless sense network part node and form first nodal set, through obtaining the data computation SINR value that node sends and the packet receptance PRR of correspondence;
Step 3, record the interval number of SINR in the SINR interval according to node and select and upgrade;
Step 4, carry out cycle detection, up to the selection of accomplishing nodal set according to judgment rule.
2. method according to claim 1 is characterized in that, in the said step 1, system initialization be in the network all nodes all do not record any (SINR, PRR) point, PRR are the packet acceptance rate, SINR is signal and interference-plus-noise ratio.
3. method according to claim 1 is characterized in that, in the said step 2, further comprises and forms first nodal set with choosing several by the part node in the network.
4. method according to claim 3 is characterized in that, in the affiliated step 2; Comprise that further optional node joins in this nodal set; When having only a node to send packet in the network, do not disturb node owing to have only the node of transmission, other nodes can not record the SINR value; (SINR PRR) drops on the interval number M 1=0 of SINR in certain SINR interval so all nodes can record.
5. method according to claim 1; It is characterized in that; In the said step 3, further comprise, if after calculating joins certain node in this nodal set the node beyond all nodal sets in the traverses network; All nodes can record that (SINR PRR) drops on the interval number M 2 of SINR in certain SINR interval.
6. method according to claim 1 is characterized in that, in the said step 3; Further comprise selecting that maximum node of M2 value, if a plurality of such nodes are arranged, then optional one; When its M2 value during greater than the M1 value, this node is joined in the nodal set, obtain new nodal set; Upgrade the value of M1 simultaneously, i.e. M1=M2.
7. method according to claim 1; It is characterized in that said step 4 further comprises repeating step three, up to working as maximum M2 value smaller or equal to the M1 value; Explain any node is joined current nodal set; The interval number of the SINR that nodal set is satisfied increases, and then the selection of node finishes in the nodal set, and promptly nodal set is selected has come out.
8. method according to claim 1; It is characterized in that, in the said step 4, further comprise if all nodes can both record at least one (SINR in the network in each SINR interval; PRR) point; Then the selection to nodal set finishes, otherwise repeating step three and step 4 are chosen next nodal set.
9. interference model measurement mechanism in the wireless sense network; It is characterized in that; Said device comprises initialization unit, computing unit, selected cell and cycle detection unit, through wireless sense network is carried out system initialization, chooses first nodal set of part node formation in the wireless sense network then; Through obtaining the data computation SINR value and corresponding packet receptance PRR that node sends; Then record the interval number of SINR in the SINR interval and select and upgrade, finally carry out cycle detection, up to the selection of accomplishing nodal set according to judgment rule according to node.
10. device according to claim 9 is characterized in that, said initialization unit is used for wireless sense network is carried out system initialization.
11. device according to claim 9 is characterized in that, said computing unit is used for choosing wireless sense network part node and forms first nodal set, through obtaining the data computation SINR value and corresponding packet receptance PRR that node sends.
12. device according to claim 9 is characterized in that, said selected cell is used for recording the interval number of SINR in the SINR interval according to node and selects and upgrade.
13. device according to claim 9 is characterized in that, said cycle detection unit is used for carrying out cycle detection according to judgment rule, up to the selection of accomplishing nodal set.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104581769A (en) * 2015-01-22 2015-04-29 清华大学 Active and passive measuring method for isomorphism wireless interference

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101315361A (en) * 2008-06-20 2008-12-03 江苏大学 Detection system and method based on wireless network type salinity and temperature
CN101631395A (en) * 2009-08-19 2010-01-20 中国矿业大学 Method for removing interference noise from moving object locating in wireless sensor network
US20100091715A1 (en) * 2008-10-10 2010-04-15 Microsoft Corporation Cognitive channel adaptation in wireless sensor networks
CN102480751A (en) * 2010-11-29 2012-05-30 罗斯蒙德公司 Wireless sensor network access point and device RF spectrum analysis system and method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101315361A (en) * 2008-06-20 2008-12-03 江苏大学 Detection system and method based on wireless network type salinity and temperature
US20100091715A1 (en) * 2008-10-10 2010-04-15 Microsoft Corporation Cognitive channel adaptation in wireless sensor networks
CN101631395A (en) * 2009-08-19 2010-01-20 中国矿业大学 Method for removing interference noise from moving object locating in wireless sensor network
CN102480751A (en) * 2010-11-29 2012-05-30 罗斯蒙德公司 Wireless sensor network access point and device RF spectrum analysis system and method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104581769A (en) * 2015-01-22 2015-04-29 清华大学 Active and passive measuring method for isomorphism wireless interference
CN104581769B (en) * 2015-01-22 2017-12-15 清华大学 A kind of main passive measurement method of isomorphism air interference

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