CN102802126A - Data acquisition system and method of wireless sensing network for large-scale mobile signal source - Google Patents
Data acquisition system and method of wireless sensing network for large-scale mobile signal source Download PDFInfo
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- CN102802126A CN102802126A CN2012102929066A CN201210292906A CN102802126A CN 102802126 A CN102802126 A CN 102802126A CN 2012102929066 A CN2012102929066 A CN 2012102929066A CN 201210292906 A CN201210292906 A CN 201210292906A CN 102802126 A CN102802126 A CN 102802126A
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Abstract
The invention relates to real-time data acquisition for a mobile signal source, in particular to a self-adaptive wireless sensing network for large-scale dynamic nodes and a data acquisition and transmission system and method based on the network technology. The system comprises a sink node, a relay node and a tail-end node, wherein the sink node is the only one data exit point in a single network and broadcasts a beacon frame to the tail-end node in a flooding manner; and the tail-end node sends data of the signal source to the sink node through the relay node. The invention has the benefits that the method synthesizes the advantages of a mobile agency model, a mobile data acquisition model and an MS-MAC model, enhances the real-time performance of mobile node access data transmission, reduces integral network expenditure caused when the nodes are out of the network coverage range due to movement as far as possible and lowers the complexity in network implementation.
Description
Technical field
The present invention relates to real time data acquisition, specifically realized a kind of towards the adaptive wireless sensing network of extensive dynamic node and based on this network technology data collection and system for transmitting and method to displaced signal sources.
Background information
At present, be primarily aimed at the characteristics of radio sensing network energy constraint both at home and abroad, proposed a lot of energy-conservation MAC agreements and Routing Protocol etc.Yet most study limitations all are static situation in all the sensors node; Do not satisfy the application of some needs mobile node,, follow the trail of heartbeat situation of patient or the like such as the life of monitoring wild animal; Node always is in the continuous motion; Introduce mobile node simultaneously and can also widen the sampling ability of cyberspace, for example in the data of using other stationary nodes of mobile node collection, as a kind of information gathering groove.
Radio sensing network mainly can be divided into for the present correlative study of ambulant support: 1. for the support of user mobility; 2. for the ambulant support of aggregation node (sink node); 3. for three aspects of support of node mobility.Wherein the support for user mobility has proposed mobile agent model and double-layer network model again; Ambulant support has proposed mobile sink node apportion model MSA (Mobile Sink Allocation) and mobile data collection model MDC (Mobile Data Collector) for aggregation node; For the support of node mobility relative complex then; Can roughly be divided into the ordinary node mobility from node and network type and support to support two aspects, can be divided into strong move (node self power drive) and weak moving (node faults itself or depleted of energy and produce network mistake couplet) again from node mobility with agent node (via node) mobility.
At present, industry is mainly from mac-layer protocol, and the MS-MAC model based on competition is arranged, and has based on the MMAC model of scheduling etc.Move to agent node; Like Lang Tong a kind of SENMA (Sensor Network with Mobile Agents) is proposed; U.S. Nice university has proposed " based on the static network implementation method of measurable mobile via node "; The EAR that UCLA university proposes (eavesdropping registration, Eavesdrop-And-Register) algorithm or the like.Generally speaking, these algorithm models can solve the ambulant problem of radio sensing network node to a certain extent, but all have own intrinsic application limitation on the other hand.As; There is the contradiction between balance transmission time delay and the network life in the mobile agent model, and bilayer model needs the considering gridding size to be provided with, and the boundary node energy consumption of MS-MAC model descends too fast; Network division can be caused, problem can not be waited synchronously between the virtual cluster of MMAC.
Summary of the invention
The present invention overcomes above-mentioned weak point; Purpose is to provide large-scale wireless sensing netting index towards displaced signal sources according to acquisition system and method; Under the situation of the principal advantages of retaining hierarchical structural network; Through the MAC layer of node and channel frame are listened the design again of algorithm and the adjustment of topological control algolithm, make node seamlessly to insert fast and break away from network and do not change the basic topological structure of whole net, and the real time data that is implemented in the network coverage is uploaded.
The present invention achieves the above object through following technical scheme: the wireless sense network data acquisition system towards extensive displaced signal sources comprises: aggregation node, via node, endpoint node.Described aggregation node is the unique data exit point in single net, and described aggregation node is broadcast to endpoint node with beacon frame with the mode of flooding, and endpoint node sends to aggregation node through via node with the signal number certificate.
Described via node adopts the mobile data drainage pattern, thereby and forms the dynamic data data feedback channel between the endpoint node.
Method towards the wireless sense network data acquisition of extensive displaced signal sources may further comprise the steps:
1) aggregation node and via node are static lays, and forms tree-shaped hierarchical network according to the AODVjr algorithm;
2) aggregation node is periodically initiated the whole network mode broadcast beacon frame that floods;
3) received beacon frame and double transmission request transmit frame are given via node behind the endpoint node entering network coverage, ask transmit frame, then endpoint node re-send request may transmit frame if via node successfully receives;
4) the request transmit frame of the more double endpoint node of receiving of via node, according to moving the mobile message that algorithm for estimating draws endpoint node, move algorithm for estimating:
P?(d2)?[dBm]?=P?(d1)?[dBm]-10nlog?(d2/d1)-C*WAF?（1）
In the formula; The request of sending for the first time of P (d1) expression endpoint node sends a frame to the signal strength values of via node; The request of sending for the second time of P (d2) expression endpoint node sends a frame to the signal strength values of via node; N representes the scale factor between path and the path loss, and d1 representes that endpoint node sends when asking to send a frame to via node and the distance of this via node for the first time, and d2 representes that endpoint node sends when asking to send a frame to via node and the distance of this via node for the second time; C representes the barrier number between endpoint node and the via node, and the WAF expression signal passes the decay factor of barrier between endpoint node and the via node.Draw the ratio of d2 and d1 according to above-mentioned function, via node sends the ratio of d2 and d1 to endpoint node;
5) the endpoint node d2 and the ratio of d1 that send of all interruption nodes that receive relatively, the via node of selecting d2 and d1 ratio minimum is as its direct agent node;
6) directly agent node is replied and is sent the permission frame;
7) after endpoint node receives that this transmission allows frame, send data to direct agent node;
8) directly agent node sends the ACK bag after receiving data;
9) endpoint node promptly stops to send data a period of time after receiving the ACK bag, wraps overtime then retransmission data if receive ACK;
10) this direct agent node routed path that the endpoint node data of receiving are formed during along networking is uploaded to aggregation node.
Beneficial effect of the present invention is: this method synthesis the advantage of mobile agent model, mobile data collection model and MS-MAC model; Strengthened mobile node networking real time of data transmission; Reduce the network overall overhead of bringing when node breaks away from network coverage because of moving as far as possible, reduced the complexity that network is realized.
Description of drawings
Fig. 1 is an application sketch map of the present invention;
Fig. 2 is a flow chart of steps of the present invention.
Embodiment
Below in conjunction with specific embodiment the present invention is described further, but protection scope of the present invention is not limited in this:
Embodiment 1: as shown in Figure 1; Wireless sense network data acquisition system in visual range towards extensive displaced signal sources; Comprise: aggregation node T, bunch in via node D1 ~ D5, edge via node E1 ~ E5, endpoint node m, circle expression signal coverage.Wherein, aggregation node T is in outside the signal cover, and endpoint node m can not directly give aggregation node T with message transmission; Endpoint node m with bunch in via node D1 ~ D5 be connected; Via node D1 is connected with edge via node E1 in bunch; Via node D2 is connected with edge via node E2 in bunch; Via node D3 is connected with edge via node E3 in bunch, in bunch via node D4 with bunch in via node D4 be connected, via node D5 is connected with edge via node E5 in bunch.Via node D1 ~ D5 can also can send beacon frame by received beacon frame in bunch, and the edge via node can only received beacon frame and can not be sent beacon frame, and the life cycle of beacon frame is 1; The every transfer of this beacon frame once; Life cycle subtracts 1, and when life cycle was 0, this beacon frame can not be again by transfer.
The known endpoint node m request of sending for the first time is designated as endpoint node m1 during transmit frame, and the signal strength signal intensity of via node D1 ~ D5 and edge via node E1 ~ E5 was designated as P (d1) in the request of transmission sent a frame to bunch; The endpoint node m request of sending for the second time is designated as endpoint node m2 during transmit frame, and the signal strength signal intensity of via node D1 ~ D5 and edge via node E1 ~ E5 was designated as P (d2) in the request of transmission sent a frame to bunch; Scale factor n=2.76 between path and the path loss, in visual range, C*WAF=0.
According to formula:
P?(d2)?[dBm]?=P?(d1)?[dBm]-10nlog?(d2/d1)-C*WAF?（1）
Obtain the value of d2/d1:
| D1 | D2 | D3 | D4 | D5 | E1 | E2 | E3 | E4 | E5 | |
| d2/d1 | 15.3 | 14.7 | 0.3 | 0.6 | 0.8 | 16.2 | 3.5 | 0.4 | 0.9 | 0.7 |
(d2/d1) value of via node D3-D5 and edge via node E3-E5 is all less than 1 in relatively obtaining bunch; Then think endpoint node m near bunch in via node D3-D5 and edge via node E3-E5; In bunch via node D1-D2 and edge via node E1-E2 (d2/d1) value all greater than 1, then think endpoint node m away from bunch in via node D1-D2 and edge via node E1-E2.Endways node m near via node in the middle of, the value of via node D3 (d2/d1) is minimum in bunch, via node D3 is direct agent node K in selecting bunch.Directly agent node K confirms through P-CSMA random back mode whether the communication channel of aggregation node T is idle:
If 1 channel is idle, then the probability with P=1/2 sends; And postpone a chronomere with the probability of (1-P)=1/2, wherein, chronomere equals the maximum propagation delay time;
If 2 channels are busy, continue to monitor, up to channel idle, and repeating step 1;
If 3 send by chronomere of delay, then repeating step 1;
4, taken place repeatedly to conflict, then reduced the P value automatically, otherwise increased the P value.
If the communication channel of aggregation node T is idle, then aggregation node T sends and allows transmit frame to give direct agent node K, after directly agent node K receives and allows transmit frame, through D3->tree path of T gives aggregation node T with data upload.
If the communication channel of aggregation node T is busy; Wait for that then next transmitting time sends data, transmitting time is received the decisions such as number, via node tree path length, the single net of aggregation node T coverage of regeneration node data simultaneously like: aggregation node T maximum by the requirement of system design parameter.
Wherein, If after the free time, the permission transmit frame that aggregation node T sends is not received by direct agent node K in the communication channel of confirming aggregation node T, then reaffirm the communication channel state of aggregation node T after; Send to allow transmit frame once more, the high reps that repeats to send is 8 times.
After aggregation node T successfully receives the data of direct agent node K transmission, reply the ACK bag, directly agent node K receives and stops to send data a period of time after ACK wraps.
Wrap when overtime when direct agent node K receives ACK, endpoint node is received beacon frame and reselect direct agent node K and be used for retransmission data again.
Above said be specific embodiment of the present invention and the know-why used, if the change of doing according to conception of the present invention, when the function that it produced does not exceed spiritual that specification and accompanying drawing contain yet, must belong to protection scope of the present invention.
Claims (3)
1. towards the wireless sense network data acquisition system of extensive displaced signal sources, it is characterized in that comprising: aggregation node, via node, endpoint node; Described aggregation node is the unique data exit point in single net; Described aggregation node is broadcast to endpoint node with beacon frame with the mode of flooding, and endpoint node sends to aggregation node through via node with the signal number certificate.
2. the wireless sense network data acquisition system towards extensive displaced signal sources according to claim 1 is characterized in that described via node adopts the mobile data drainage pattern, thereby and forms the dynamic data data feedback channel between the end node.
3. towards the method for the wireless sense network data acquisition of extensive displaced signal sources, it is characterized in that may further comprise the steps:
1) aggregation node and via node are static lays, and forms tree-shaped hierarchical network according to the AODVjr algorithm;
2) aggregation node is periodically initiated the whole network mode broadcast beacon frame that floods;
3) received beacon frame and double transmission request transmit frame are given via node behind the endpoint node entering network coverage, ask transmit frame, then endpoint node re-send request may transmit frame if via node successfully receives;
4) the request transmit frame of the more double endpoint node of receiving of via node, according to moving the mobile message that algorithm for estimating draws endpoint node, move algorithm for estimating:
P?(d2)?[dBm]?=P?(d1)?[dBm]-10nlog?(d2/d1)-C*WAF?（1）
In the formula; The request of sending for the first time of P (d1) expression endpoint node sends a frame to the signal strength values of via node; The request of sending for the second time of P (d2) expression endpoint node sends a frame to the signal strength values of via node; N representes the scale factor between path and the path loss, and d1 representes that endpoint node sends when asking to send a frame to via node and the distance of this via node for the first time, and d2 representes that endpoint node sends when asking to send a frame to via node and the distance of this via node for the second time; C representes the barrier number between endpoint node and the via node, and the WAF expression signal passes the decay factor of barrier between endpoint node and the via node.Draw the ratio of d2 and d1 according to above-mentioned function, via node sends the ratio of d2 and d1 to endpoint node;
5) the endpoint node d2 and the ratio of d1 that send of all interruption nodes that receive relatively, the via node of selecting d2 and d1 ratio minimum is as its direct agent node;
6) directly agent node is replied and is sent the permission frame;
7) after endpoint node receives that this transmission allows frame, send data to direct agent node;
8) directly agent node sends the ACK bag after receiving data;
9) endpoint node promptly stops to send data a period of time after receiving the ACK bag, wraps overtime then retransmission data if receive ACK;
10) this direct agent node routed path that the endpoint node data of receiving are formed during along networking is uploaded to aggregation node.
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| CN106900042A (en) * | 2017-03-24 | 2017-06-27 | 浙江理工大学 | A kind of sensor node of tree-shaped sensor network MANET |
| CN107071873A (en) * | 2017-03-24 | 2017-08-18 | 浙江理工大学 | A kind of telegon of tree-shaped sensor network MANET |
| CN107148069A (en) * | 2017-03-24 | 2017-09-08 | 浙江理工大学 | The MANET and low power consumption data of a kind of tree-shaped sensor network collect method |
| CN109618292A (en) * | 2018-11-05 | 2019-04-12 | 珠海派诺科技股份有限公司 | LORA wireless communications method, system, trunking method and equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106900042A (en) * | 2017-03-24 | 2017-06-27 | 浙江理工大学 | A kind of sensor node of tree-shaped sensor network MANET |
| CN107071873A (en) * | 2017-03-24 | 2017-08-18 | 浙江理工大学 | A kind of telegon of tree-shaped sensor network MANET |
| CN107148069A (en) * | 2017-03-24 | 2017-09-08 | 浙江理工大学 | The MANET and low power consumption data of a kind of tree-shaped sensor network collect method |
| CN106900042B (en) * | 2017-03-24 | 2019-12-20 | 杭州罗曼智能科技有限公司 | Sensor node of tree-type sensor network ad hoc network |
| CN107071873B (en) * | 2017-03-24 | 2019-12-20 | 浙江理工大学 | Coordinator of tree sensor network ad hoc network |
| CN107148069B (en) * | 2017-03-24 | 2020-07-10 | 浙江理工大学 | Self-networking and low-power-consumption data collection method of tree sensor network |
| CN109618292A (en) * | 2018-11-05 | 2019-04-12 | 珠海派诺科技股份有限公司 | LORA wireless communications method, system, trunking method and equipment |
| CN109618292B (en) * | 2018-11-05 | 2022-02-18 | 珠海派诺科技股份有限公司 | LORA wireless communication method, system, relay method and equipment |
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