CN102480465B - Self-adaptive adjusting method, sensor node and sensor network - Google Patents
Self-adaptive adjusting method, sensor node and sensor network Download PDFInfo
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Abstract
The invention provides a self-adaptive adjusting method, which comprises the following steps of: acquiring information data, extracting at least one control variable reflecting an information auto-correlation according to the information data; sorting at least one control variable reflecting the information auto-correlation according to index demand; adjusting value of a controllable parameter corresponding to at least one control variable reflecting the information auto-correlation in a protocol stack according to the sorting result. The present invention also provides a sensor node and a sensor network having the sensor node. Moreover, the extracted control variable and the variable reflecting network communication condition received in the protocol stack can be combined and optimized according to the index command to realize the bilateral control, thus increasing the performance of network system.
Description
Technical field
The present invention relates to the communication technology, relate in particular to adaptive regulation method, sensor node and sensor network.
Background technology
Wireless sensor network (Wireless Sensor Network, be called for short WSN) be a kind of wireless network being formed by Ad hoc mode by the sensor node of a large amount of low complex degrees, each network node is made up of sensing module, processing module, communication module and power module, data acquisition, data transmit-receive, three basic functions of data retransmission.Wireless sensor network has high reliability, easily disposes and the feature such as can expand.The generation of of new generation less, more cheap low power consuming devices, the data that Distributed Calculation is brought are calculated with the raising of disposal ability and the development of MEMS (micro electro mechanical system) and are made the Multifunction Sensor that develops low cost, low-power consumption, small size, short distance communication become possibility, have established the basis of generation and the development of wireless sensor network.Wireless sensor network does not need fixed network support, has the features such as rapid deployment, survivability be strong, can be widely used in the fields such as military affairs, industry, building, storage, Smart Home, environmental protection, has caused people's extensive concern.
Due to the particularity of sensor network, cause sensor network to have larger difference to the requirement of operating system with respect to legacy operating system.Therefore, need to be limited for diversity, the hardware capability of sensor network application, the feature such as resource-constrained, node microminiaturization, study and design the new operating system based on sensor network and related software.TinyOS is a kind of operating system representative in moment sensor network.
In design of wireless sensor network node, wireless communication RF module is an indispensable part.Along with the issue of IEEE802.15.4 standard, Ge great wireless chip production firm of the world has released the radio transmitting and receiving chip of supporting IEEE802.15.4 successively.The CC2420 that wherein Chipcon company releases is more representational product.
Peer-to-peer network is a kind of very important topological structure in wireless sensor network.A kind of common peer network architecture as shown in Figure 1, is compared from conventional wireless network topological structure and is had some structures and technical different.The node of network internal is all generally identical, conventionally only allows the neighbours nearest with node to communicate by letter.
In wireless peer-to-peer network, in network, each node all has identical function, and without master-slave, in network, each node both can have been served other node, for other node provides resource, also can enjoy other node service, the resource of utilizing other node to provide.
Due to the equal standing of each node, in the situation that not there is not control node allocation of network resources, sensor node self should have certain intelligence, the ability that self adaptation regulates.Reach resource distribution, the raising energy service efficiency that changes network and the effect that improves QoS by the self-control of each node self.
In moment sensor network research, realize many methods energy-conservation and raising QoS, as driving event by the information in sensor node acquisition of communication channels and network, then the parameter realizing in network protocol stack regulates, it is a kind of regulating and controlling mode from bottom to top, such as based on CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance, access/the conflict of carrier sense multiple spot is avoided) and AODV (Ad Hoc on Demand Distance Vector, wireless self-networking is plan range vector route as required) machine-processed various research and application.But such method has some limitations, owing to needing information in acquisition of communication channels and network as driving event, need additionally to consume certain communication overhead, thereby consumed too much the communication resource.
Summary of the invention
In view of one or more technical problems set forth above, provide a kind of adaptive regulation method.
This adaptive regulation method comprises: Information Monitoring data; Extract the control variables of at least one reflection information autocorrelation according to described information data; According to index request, the control variables of described at least one reflection information autocorrelation is sorted; Regulate the parameter value of controllable parameter corresponding with the control variables of described at least one reflection information autocorrelation in protocol stack according to ranking results.The disclosed adaptive regulation method of present patent application is by top-down regulating and controlling mode, do not need information in acquisition of communication channels and network as driving event, reduced the consumption of the communication resource, strengthened the adaptive adjustment capability of meshed network.In addition, can also be by the variable of the reaction network signal intelligence of receiving in the control variables of the reflection information autocorrelation of extraction and protocol stack is carried out to Combinatorial Optimization according to index request, thus can realize two-way control, further improve the performance of network system.
A kind of sensor node is also provided, has comprised: acquisition module, for Information Monitoring data; Extraction module, for extracting the control variables of at least one reflection information autocorrelation according to described information data; Order module, for sorting to the control variables of described at least one reflection information autocorrelation according to index request; Adjustment module, for according to the ranking results of described order module, regulates the parameter value of controllable parameter corresponding with the control variables of described at least one reflection information autocorrelation in the protocol stack of described sensor node.The disclosed sensor node of present patent application has adopted top-down regulative mode, owing to not needing information in acquisition of communication channels and network as driving event, thereby has reduced the consumption of the communication resource, and adaptive adjustment capability is enhanced.In addition, can also, by the variable of the reaction network signal intelligence of receiving in the control variables of extraction and protocol stack is carried out to Combinatorial Optimization according to index request, can realize two-way control, further improve the performance of network system.
A kind of sensor network is also provided, has there is sensor node as above.The disclosed sensor network of present patent application has adopted top-down regulative mode, does not need information in acquisition of communication channels and network as driving event, thereby has reduced the consumption of the communication resource, and self adaptation ability adjustment is enhanced.In addition, can also be by the variable of the reaction network signal intelligence of receiving in the control variables of extraction and protocol stack is carried out to Combinatorial Optimization according to index request, thus can realize two-way control, further improve the performance of network system.
Brief description of the drawings
Fig. 1 shows a kind of logical schematic of peer network architecture;
Fig. 2 shows the flow chart of an embodiment of adaptive regulation method;
Fig. 3 shows the flow chart of another embodiment of adaptive regulation method;
Fig. 4 shows the block diagram of an embodiment of sensor node;
Fig. 5 shows the block diagram of another embodiment of sensor node;
Fig. 6 shows the function declaration figure of an embodiment of the middleware module using in another embodiment of the sensor node shown in Fig. 5; And
Fig. 7 show IEEE802.15.4 physical layer at 2.4GHz to the schematic diagram that 16 wireless channels are provided between 2.4835GHz.
Embodiment
In order more clearly to understand above-mentioned purpose of the present invention, feature and advantage, below in conjunction with the drawings and specific embodiments, the present invention is further described in detail.
Although set forth in the following description a lot of details so that fully understand the present invention,, the present invention can also adopt other to be different from other modes described here and implement, and therefore, the present invention is not limited to following public specific embodiment.
Fig. 2 shows the flow chart of an embodiment of adaptive regulation method.As shown in Figure 2, this adaptive regulation method comprises: step 202, Information Monitoring data; Step 204, extracts according to information data the control variables that at least one reflects information autocorrelation; Step 206, sorts to the control variables of at least one reflection information autocorrelation according to index request; Step 208, according to the parameter value of controllable parameter corresponding with the control variables of at least one reflection information autocorrelation in ranking results adjusting protocol stack.According to the adaptive regulation method shown in Fig. 2, owing to having adopted regulative mode from top to bottom, do not need information in acquisition of communication channels and network as driving event, reduce the consumption of the communication resource, strengthen the adaptive adjustment capability of meshed network.In addition, can also be by the variable of the reaction network signal intelligence of receiving in the control variables of extraction and protocol stack is carried out to Combinatorial Optimization according to index request, thus can realize two-way control, further improve the performance of network system.
In technique scheme, preferably, step 204 is specially: preprocessing rule is set; According to preprocessing rule, information data is carried out to preliminary treatment, extract the control variables of at least one reflection information autocorrelation.The setting of preprocessing rule, can reduce the contact of information complexity and resolving information inside.
In technique scheme, preferably, this adaptive regulation method also comprises: intermediate parameters collection is set, and intermediate parameters collection comprises the optional parameters value corresponding with the control variables of each reflection information autocorrelation.Owing to being provided with middleware parameter set, can be that the control variables of each reflection information autocorrelation is preserved optional parameters collection.Optional parameters is concentrated and can be sorted to the concentrated parameter of optional parameters, and the parameter that sequence number is less is more conducive to improve index, and the parameter that sequence number is larger is more conducive to increase dormancy time.In this way, can realize the two loop controls to network and joint behavior together with the control variables of at least one reflection information autocorrelation being sorted according to index request.
In technique scheme, preferably, regulate the step of the parameter value of controllable parameter corresponding with the control variables of at least one reflection information autocorrelation in protocol stack to be specially according to ranking results: inquiry intermediate parameters collection, according to ranking results, for the optional parameters corresponding with the control variables of at least one reflection information autocorrelation determined optimal value; According to the optimal value of the optional parameters corresponding with the control variables of at least one reflection information autocorrelation and with the control variables of at least one reflection information autocorrelation corresponding optional parameters and protocol stack in the functional relation of controllable parameter, determine the parameter value of the controllable parameter in protocol stack.
In technique scheme, preferably, regulate the step of the parameter value of controllable parameter corresponding with the control variables of at least one reflection information autocorrelation in protocol stack to be specially according to ranking results: to determine that described intermediate parameters is concentrated and the constant interval of the parameter value of the described optional parameters that the control variables of described at least one reflection information autocorrelation is corresponding, and in described constant interval, select the optimal value of described optional parameters; According to the described optimal value of the optional parameters corresponding with the control variables of described at least one reflection information autocorrelation and with the control variables of described at least one reflection information autocorrelation corresponding optional parameters and described protocol stack in the functional relation of controllable parameter, determine the parameter value of the controllable parameter in described protocol stack.In addition, can also be by the variable of the reaction network signal intelligence of receiving in the control variables of extraction and protocol stack is carried out to Combinatorial Optimization according to index request, thus can realize two-way control, further improve the performance of network system.
In technique scheme, preferably, sequence is to realize by giving different weights for the control variables of at least one reflection information autocorrelation.
In technique scheme, preferably, adaptive regulation method can be applicable to sensor network, in the step of Information Monitoring data, and the information data that information data is external environment condition, index request is QoS index request.
The information data that it will be appreciated by those skilled in the art that external environment condition can comprise temperature, humidity, brightness, acceleration, the sound intensity, pressure etc.
In technique scheme, owing to not needing information in acquisition of communication channels and network as driving event, thereby reduce the consumption of the communication resource, strengthen the self adaptation ability adjustment of meshed network.In addition, can also be by the variable of the reaction network signal intelligence of receiving in the control variables of the reflection information autocorrelation of extraction and protocol stack is carried out to Combinatorial Optimization according to index request, thus can realize two-way control, further improve the performance of network system.
Fig. 3 shows the flow chart of another embodiment of adaptive regulation method.As shown in Figure 3, show taking sensor node as example, in the situation that not controlling other external node, the adaptive regulation method of sensor node.In this example, the driving event that the environment that sensor node is collected or application scenarios information regulate as node self-adapting, realizes top-down control.Concrete steps comprise:
Step 302, in the time of node initializing, set unified message preliminary treatment criterion and thresholding, preliminary treatment criterion is taking the contact that reduces information complexity and resolving information inside as object, and preliminary treatment criterion is for obtaining needed control information with being combined with of preliminary treatment thresholding.
Step 304, sensor node sampling rate according to the rules and the information data of sampling precision collection external environment condition;
Step 306, after the preliminary treatment of information, extracts and controls parameter;
Step 308, is set as constraints by the requirement of QoS performance index;
Step 310, composes priority operation according to the constraints of step 308 to the control parameter of step 306;
Step 312, according to controlling the parameter priority of giving, inquiry middleware parameter set is optimized, and finds and the middleware parameter of controlling parameter and matching;
Step 314, according to the functional relation of parameter in the definite middleware parameter of step 312 and protocol stack, calculates the parameter value of relevant parameter in protocol stack.
Fig. 4 shows the block diagram of an embodiment of sensor node.In accordance with a further aspect of the present invention, provide a kind of sensor node 400, having comprised: acquisition module 402, for Information Monitoring data; Extraction module 404, for extracting the control variables of at least one reflection information autocorrelation according to information data; Order module 406, for sorting to the control variables of at least one reflection information autocorrelation according to index request; Adjustment module 408, for according to the ranking results of order module, regulates the parameter value of controllable parameter corresponding with the control variables of at least one reflection information autocorrelation in the protocol stack of sensor node.By adopting top-down mode, do not need information in acquisition of communication channels and network as driving event according to the disclosed sensor node of present patent application, reduced the consumption of the communication resource, strengthened adaptive adjustment capability.In technique scheme, owing to not needing information in acquisition of communication channels and network as driving event, thereby reduce the consumption of the communication resource, strengthen the self adaptation ability adjustment of meshed network.
In addition, can also be by the variable of the reaction network signal intelligence of receiving in the control variables of the reflection information autocorrelation of extraction and protocol stack is carried out to Combinatorial Optimization according to index request, thus can realize two-way control, further improve the performance of network system.
In technique scheme, preferably, extraction module 404 comprises: module 410 is set, for preprocessing rule is set; Pretreatment module 412, for according to the preprocessing rule that module setting is set, carries out preliminary treatment to information data, extracts the control variables of at least one reflection information autocorrelation.
In technique scheme, preferably, adjustment module 408 can comprise: middleware module 414 and protocol stack parameter determination module 416.Middleware module 414 can comprise: intermediate parameters collection arranges submodule 4142, and for intermediate parameters collection is set, intermediate parameters collection comprises the optional parameters value for the control variables of each reflection information autocorrelation of transducer; Inquiry submodule 4144, inquiry intermediate parameters arranges the intermediate parameters collection that submodule 4142 arranges, according to the ranking results from order module 406, for the optional parameters corresponding with the control variables of at least one reflection information autocorrelation determined optimal value, also for determining that described intermediate parameters concentrates the constant interval of the parameter value of the described optional parameters corresponding with the control variables of described at least one reflection information autocorrelation, and in described constant interval the optimal value of definite described optional parameters.The optimal value of the corresponding optional parameters of control variables that protocol stack parameter determination module 416 is determined according to inquiry submodule 4144 and at least one reflection information autocorrelation and with the control variables of at least one reflection information autocorrelation corresponding optional parameters and protocol stack in the functional relation of controllable parameter, determine the parameter value of the controllable parameter in protocol stack.
In technique scheme, preferably, sequence can be to realize by giving different weights for the control variables of at least one reflection information autocorrelation.
In technique scheme, preferably, information data can be the information data of external environment condition, and index request is QoS index request.
The information data that it will be appreciated by those skilled in the art that external environment condition can comprise temperature, humidity, brightness, acceleration, the sound intensity, pressure etc.
Fig. 5 shows according to the block diagram of another embodiment of sensor node of the present invention.In the figure, show in sensor node according to the present invention annexation in pretreatment module 502 and middleware module 504 and protocol stack between each key-course.
Pretreatment module 502: parse control information from the environment that collects or application scenarios data.Pretreatment module 502 can be software module, can be also hardware module independently.When the design of software module, to consider the restriction of sensor node processes speed and memory size.For improving handling property, generally adopt hardware module.Owing to having added pretreatment module 502, thereby on the basis of perception external environmental information, information is carried out to preliminary pretreated ability.
Middleware module 504: as a part of node operating system.Middleware module 504 is that the control variables of each reflection information autocorrelation is preserved an optional parameters collection.Optional parameters concentrates the parameter comprising to realize sequence: the parameter that sequence number is less is more conducive to improve QoS, and the parameter that sequence number is larger is more conducive to increase dormancy time.In this way, realize the two loop controls to network and joint behavior together with the control variables of at least one reflection information autocorrelation being sorted according to index request.Middleware module 504 can be connected to each key-course of protocol stack, comprises application layer 506, transport layer 508, network layer 510, MAC layer 512 and physical layer 514.The control object of these key-courses of protocol stack comprises: message model, Route Selection, duty ratio setting, work and resting state conversion etc.Owing to having added middleware module 504, can carry out self adaptation adjusting to each layer parameter of network protocol stack, for example, regulate the setting of restriction, the node duty ratio of selected, the jumping figure of configuration, the route of message model, the setting, the setting of sampling rate, the selection of operating frequency, the size of buffer area of priority arranges etc. while adopting competition mechanism.
According to embodiments of the invention, by the design of sensor node operation system, can, by the design of the processing of information and network application layer, transport layer, network layer, MAC layer and physical layer and application combination, realize the object that improves wireless sensor network performance by optimization.
As shown in Figure 6, the effect of middleware module 504 be summarized as following some:
(1) bridge between command, control, communications, and information processing;
(2) control the passage of relation from top to bottom;
(3) storage is used for the optional parameters collection of the each layer of control variables of protocol stack of optimizing;
(4) the new logical combination between control variables, suggestion protocol stack can optimized variable between and new syntagmatic between search index;
(5) between top-down control relation and control relation from bottom to top, play the effect of telegon.
Will be further described below part based on such scheme, realize embodiment energy-conservation and raising QoS.
In this embodiment, optical sensor gathers the intensity signal in external environment condition; The pretreatment module of information is asked difference and some difference size comparison thresholds is set every some cycles the light intensity collecting.According to comparison threshold, difference is larger, and priority is higher.
IEEE 802.15.4 is that ieee standard association is for low-rate wireless personal area network (low-rate wireless personal area network, LR-WPAN) standard of formulating is one of the most important agreement of current wireless sensor network and radio communication platform.IEEE802.15.4 physical layer at 2.4GHz to 16 wireless channels are provided between 2.4835GHz, as shown in Figure 7.In addition, IEEE802.15.4 agreement realize chip (such as the CC2420 of TI company) in provide multiple candidate's power can for configuration.In IEEE802.15.4MAC layer, beacon management and channel access control are two critical functions of sublayer, and these functions can realize by superframe.In LR-WPAN beacon enable mode, call duration time is divided into active period (active portion) and two parts of inactive phase (inactive portion) by superframe.Active period is divided into three phases: beacon frame transmit time segments, contention access period (contention access period, and non-competing access-hours (contention-free period CAP), CFP), CAP passes through time slot CSMA/CA algorithm competitive channel resource for node; CFP is used to application-specific to distribute specific channel resource, is mainly in order to meet communication delay and the higher application of bandwidth requirement.In the inactive phase, the equipment in network can not intercom mutually, by the resting state that enters low-power consumption to save energy.
For IEEE802.15.4 agreement, according to pretreatment module result after treatment, in physical layer, can extract frequency and power as the control variables that will regulate.
The adaptive control of frequency: the information high to priority, can the less frequency of choice for use, to improve the signal quality of transmission of messages and the real-time of transmission of messages, the information low to priority, can the more frequency of choice for use, in the use of frequency domain, by more frequency resource for the high message of priority.
The self adaptation of power regulates: the information high to priority, can strengthen transmitting power, the real-time and the reliability that transmit to improve message.The information low to priority, can reduce transmitting power, puies forward high-octane utilization ratio.
At this, it should be appreciated by those skilled in the art, the adaptive control of above-mentioned frequency and the self adaptation of power regulate can separate separately and use, and also can, according to the requirement of index, be used in combination according to priority.
Equally, those skilled in the art be also to be understood that after pretreatment module, can also determine optimal value for the definite control variables of pretreatment module by middleware module.
For IEEE802.15.4 agreement, in MAC layer, the number that counter will be able to be counted is as control variables.
The adaptive control of counter: in superframe structure, the transmission cycle of beacon, (beacon interval, BI) was defined as two time intervals between continuous beacon frame.Under the definite condition of BI, energy-conservation for realizing, in sensor node, counter can be set, the effect of counter is that the number of calculating BI is to occur in each superframe to control active period, or occurs once every how many BI.According to the priority determining above, in the situation that priority is the highest, active period all occurs in each superframe, for the transmission of this node data ensures as much as possible enlivening the time, the in this way variation of the timely describe environment information of guaranteed qos; In the situation that priority is minimum, can be by counter be made as to maximum, make the time that active period occurs in BI reach the longest.The time occurring by extending active period, can increase the time of this node in non-active period dormancy, thereby effectively save energy.When priority value the highest and minimum between time, can determine that the occurrence of counter selects the suitable time of occurrence of active period for this node according to the requirement of energy-conservation or QoS.
Those skilled in the art be also to be understood that after pretreatment module, can also determine optimal value for the definite control variables of pretreatment module by middleware module.
The method proposing according to embodiments of the invention is also applicable to network layer, transport layer and application layer.
A kind of possible execution mode of network layer is using route as control variables.
The adaptive control of route: the information high to priority, can select the less route of network congestion, to improve QoS, the information low to priority, can select the more route of network congestion, to produce or provide few route of conflicting for the high message of priority.
A kind of possible execution mode of transport layer is using host-host protocol as control variables.
The adaptive control of host-host protocol: the information high to priority, can select the transmission means that reliability is higher, the information low to priority, can select the transmission means that reliability is lower.
A kind of possible execution mode of application layer is using the transmission cycle of message as control variables.
Message sends the adaptive control in cycle: the information high to priority, can dwindle transmission cycle of message, and to improve the frequency of transmission of messages, promote QoS; The information low to priority, the transmission cycle that can increase message, to save energy.
At this, it should be appreciated by those skilled in the art, the self adaptation of above-mentioned various control parameters regulates and can independently carry out, and also can, according to the requirement of index, combine and carry out according to priority.
Equally, those skilled in the art be also to be understood that after pretreatment module, can also determine optimal value for the definite control variables of pretreatment module by middleware module.
Although above-mentioned control variables in each key-course of protocol stack has been described the adaptive regulation method of sensor node according to an embodiment of the invention as example, but it should be appreciated by those skilled in the art, can be applied to equally other control variables according to adaptive regulation method of the present invention, and can be applied to the different control variables in different key-courses simultaneously, realize top-down control thereby realize according to the information data of external environment condition.
To sum up, adaptive regulation method, sensor node and sensor network are by application pretreatment module according to an embodiment of the invention, on the basis of perception external environmental information, information is carried out to preliminary preliminary treatment, reduce information complexity and parsed the contact of information inside, pass through middleware module, set up the passage of controlling relation from top to bottom, between top-down control relation and control relation from bottom to top, play the effect of telegon, realized the self adaptation of the each layer parameter of procotol is regulated.And, owing to adopting the form of middleware module, make maintenance and renewal system simpler.In addition, can also be by the variable of the reaction network signal intelligence of receiving in the control variables of extraction and protocol stack is carried out to Combinatorial Optimization according to index request, thus can realize two-way control, further improve the performance of network system.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
About the execution mode that comprises above embodiment 1～n, following remarks is also disclosed.
1. an adaptive regulation method, is characterized in that, comprising:
Information Monitoring data;
Extract the control variables of at least one reflection information autocorrelation according to described information data;
According to index request, the control variables of described at least one reflection information autocorrelation is sorted; And
Regulate the parameter value of controllable parameter corresponding with the control variables of described at least one reflection information autocorrelation in protocol stack according to ranking results.
2. according to the adaptive regulation method described in remarks 1, it is characterized in that, also comprise: intermediate parameters collection is set, and described intermediate parameters collection comprises the parameter value of the optional parameters corresponding with each control variables.
3. according to the adaptive regulation method described in remarks 2, it is characterized in that, the described step according to the parameter value of controllable parameter corresponding with the control variables of described at least one reflection information autocorrelation in ranking results adjusting protocol stack is specially:
Inquire about described intermediate parameters collection, according to described ranking results, for the optional parameters corresponding with the control variables of described at least one reflection information autocorrelation determined optimal value; And
According to the described optimal value of the described optional parameters corresponding with the control variables of described at least one reflection information autocorrelation and with the control variables of described at least one reflection information autocorrelation corresponding optional parameters and described protocol stack in the functional relation of controllable parameter, determine the parameter value of the controllable parameter in described protocol stack.
4. according to the adaptive regulation method described in remarks 2, it is characterized in that, the described step according to the parameter value of controllable parameter corresponding with the control variables of described at least one reflection information autocorrelation in ranking results adjusting protocol stack is specially:
Determine the constant interval of the parameter value of the corresponding optional parameters of described intermediate parameters control variables concentrated and described at least one reflection information autocorrelation, and in described constant interval, select the optimal value of described optional parameters; And
According to the described optimal value of the optional parameters corresponding with the control variables of described at least one reflection information autocorrelation and with the control variables of described at least one reflection information autocorrelation corresponding optional parameters and described protocol stack in the functional relation of controllable parameter, determine the parameter value of the controllable parameter in described protocol stack.
5. according to the adaptive regulation method described in any one in remarks 1 to 4, it is characterized in that, described sequence is to realize by giving different weights for the control variables of described at least one reflection information autocorrelation.
6. according to the adaptive regulation method described in any one in remarks 1 to 4, it is characterized in that, in the step of described Information Monitoring data, the information data that described information data is external environment condition, described index request is QoS index request.
7. a sensor node, is characterized in that, comprising:
Acquisition module, for Information Monitoring data;
Extraction module, for extracting the control variables of at least one reflection information autocorrelation according to described information data;
Order module, for sorting to the control variables of described at least one reflection information autocorrelation according to index request; And
Adjustment module, for according to the ranking results of described order module, regulates the parameter value of controllable parameter corresponding with the control variables of described at least one reflection information autocorrelation in the protocol stack of described sensor node.
8. according to the sensor node described in remarks 7, it is characterized in that, described adjustment module comprises:
Middleware module, comprising:
Intermediate parameters collection arranges submodule, and for intermediate parameters collection is set, described intermediate parameters collection comprises the optional parameters value of the each control variables corresponding with described transducer; And
Inquiry submodule, for inquiring about described intermediate parameters, the intermediate parameters collection that submodule arranges is set, according to the described ranking results from described order module, for the optional parameters corresponding with the control variables of described at least one reflection information autocorrelation determined optimal value, also for determining that described intermediate parameters concentrates the constant interval of the parameter value of the described optional parameters corresponding with the control variables of described at least one reflection information autocorrelation, and in described constant interval the optimal value of definite described optional parameters; And
Protocol stack parameter determination module, the described optimal value of the corresponding described optional parameters of the control variables with described at least one reflection information autocorrelation determined according to described inquiry submodule and with the control variables of described at least one reflection information autocorrelation corresponding described optional parameters and described protocol stack in the functional relation of controllable parameter, determine the parameter value of the controllable parameter in described protocol stack.
9. according to the sensor node described in remarks 7 or 8, it is characterized in that, described sequence is to realize by giving different weights for described at least one control variables.
10. according to the sensor node described in remarks 7 or 8, it is characterized in that, the information data that described information data is external environment condition, described index request is QoS index request.
11. 1 kinds of sensor networks, is characterized in that, have according to the sensor node described in any one in remarks 7 to 9.
Claims (6)
1. an adaptive regulation method, is characterized in that, comprising:
Information Monitoring data;
Extract the control variables of at least one reflection information autocorrelation according to described information data;
According to index request, the control variables of described at least one reflection information autocorrelation is sorted; And
Regulate the parameter value of controllable parameter corresponding with the control variables of described at least one reflection information autocorrelation in protocol stack according to ranking results;
Intermediate parameters collection is set, and described intermediate parameters collection comprises the parameter value of the optional parameters corresponding with each control variables;
The described step according to the parameter value of controllable parameter corresponding with the control variables of described at least one reflection information autocorrelation in ranking results adjusting protocol stack is specially:
Inquire about described intermediate parameters collection, according to described ranking results, for the optional parameters corresponding with the control variables of described at least one reflection information autocorrelation determined optimal value; And
According to the described optimal value of the described optional parameters corresponding with the control variables of described at least one reflection information autocorrelation and with the control variables of described at least one reflection information autocorrelation corresponding optional parameters and described protocol stack in the functional relation of controllable parameter, determine the parameter value of the controllable parameter in described protocol stack; And
Determine the constant interval of the parameter value of the corresponding optional parameters of described intermediate parameters control variables concentrated and described at least one reflection information autocorrelation, and in described constant interval, select the optimal value of described optional parameters; And
According to the described optimal value of the optional parameters corresponding with the control variables of described at least one reflection information autocorrelation and with the control variables of described at least one reflection information autocorrelation corresponding optional parameters and described protocol stack in the functional relation of controllable parameter, determine the parameter value of the controllable parameter in described protocol stack.
2. adaptive regulation method according to claim 1, is characterized in that, described sequence is to realize by giving different weights for the control variables of described at least one reflection information autocorrelation.
3. adaptive regulation method according to claim 1, is characterized in that, in the step of described Information Monitoring data, and the information data that described information data is external environment condition, described index request is QoS index request.
4. a sensor node, is characterized in that, comprising:
Acquisition module, for Information Monitoring data;
Extraction module, for extracting the control variables of at least one reflection information autocorrelation according to described information data;
Order module, for sorting to the control variables of described at least one reflection information autocorrelation according to index request; And
Adjustment module, for according to the ranking results of described order module, regulates the parameter value of controllable parameter corresponding with the control variables of described at least one reflection information autocorrelation in the protocol stack of described sensor node;
Described adjustment module comprises:
Middleware module, comprising:
Intermediate parameters collection arranges submodule, and for intermediate parameters collection is set, described intermediate parameters collection comprises the optional parameters value of the each control variables corresponding with described transducer; And
Inquiry submodule, for inquiring about described intermediate parameters, the intermediate parameters collection that submodule arranges is set, according to the described ranking results from described order module, for the optional parameters corresponding with the control variables of described at least one reflection information autocorrelation determined optimal value, also for determining that described intermediate parameters concentrates the constant interval of the parameter value of the described optional parameters corresponding with the control variables of described at least one reflection information autocorrelation, and in described constant interval the optimal value of definite described optional parameters; And
Protocol stack parameter determination module, the described optimal value of the corresponding described optional parameters of the control variables with described at least one reflection information autocorrelation determined according to described inquiry submodule and with the control variables of described at least one reflection information autocorrelation corresponding described optional parameters and described protocol stack in the functional relation of controllable parameter, determine the parameter value of the controllable parameter in described protocol stack.
5. sensor node according to claim 4, is characterized in that, described sequence is to realize by giving different weights for described at least one control variables.
6. a sensor network, is characterized in that, has according to the sensor node described in claim 4 or 5.
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