CN106879069A - Co-positioned node selecting method based on conllinear degree - Google Patents

Co-positioned node selecting method based on conllinear degree Download PDF

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Publication number
CN106879069A
CN106879069A CN201710114984.XA CN201710114984A CN106879069A CN 106879069 A CN106879069 A CN 106879069A CN 201710114984 A CN201710114984 A CN 201710114984A CN 106879069 A CN106879069 A CN 106879069A
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node
cost value
positioning
nodes
algorithm
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CN106879069B (en
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马永涛
刘伟伟
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Tianjin University
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Tianjin University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/003Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment

Abstract

The present invention relates to a kind of co-positioned node selecting method based on conllinear degree, including the steps:Estimate variance of the node to be positioned relative to the location estimation of node i;Calculate the total cost of the node to be positioned;Calculate the final cost value of the node to be positioned;The maximum node of cost value is deleted from neighbors collection S;Repeat second and third, four steps are until being left the node that specifies number.

Description

Co-positioned node selecting method based on conllinear degree
Technical field
The present invention relates to a kind of co-positioned node selecting method based on conllinear degree.
Background technology
With bringing for mobile Internet epoch, location Based service to positioning propose requirement very high, at any time with The positional information of ground acquisition Gao Ding becomes the premise of many applications.But now widely used gps system or wireless biography Sensor network positions are all difficult to meet the location requirement being used for, and then occur in that co-positioned technology.Co-positioned technology refers to Positioning is realized between node to be positioned by cooperating to, including sets up communication link between cooperative node believing for shared positioning Breath, by range-measurement system come the distance between measuring node.There are co-positioned other alignment systems not possess a little, such as anchor Node density requirement low, orientation range wider, positioning precision is more high.But the cooperation between node also brings some problems, The average connection number of such as positioning network is too high, so as to cause channel congestion and positioning time delay.The average of usual co-located connects More than 10 times that number is non-co-located are connect, if band positioning node carries out location estimation using whole nodes in actual location, The substantial amounts of calculating time will be expended, real-time is difficult to be guaranteed, and the larger node of error can influence positioning in auxiliary node Precision.Therefore in position fixing process of cooperating, suitable cooperative node selection algorithm can shorten positioning time, and can improve Positioning precision.
Conventional neighbors selection algorithm includes being selected according to signal intensity [1] or distance [2] at present, Selection algorithm according to signal intensity is similar with the selection algorithm according to distance, and it can cause measurement error to increase according to distance is more remote Plus, but this node selection strategy is only suitable for traditional localization method, if neighbor node is other in co-positioned Mobile node, the selection strategy lacks the measurement that node reliability is connect to movement.Also the method based on Cramér-Rao lower bound selects Abutment points subset [3] is selected, this method is to search for all various combinations in the total space to find a certain combination so as to be positioned The Cramér-Rao lower bound of node is minimum, and this system of selection is due to being related to the calculating of complexity, the distribution limited for computing capability For node and do not apply to.Also with good grounds channel loss index selects the method [4] of neighbors, the method can but to fall range finding The larger node of error, but the influence that the topology distribution that cannot weigh node is estimated node location.Opened up in existing consideration Flutter in the system of selection of distribution, most commonly by position dilution of precision PDOP (Position Dilution of Precision) [5] select neighbors to combine, and the smaller topology distribution for representing adjacent point set of PDOP values is better, also just means Positioning precision higher.
The computational methods of PDOP are as follows:
H=[l1,l2,…,ln]T
Wherein H is calculation matrix, and n represents selected node number, liRepresent node to be positioned to the observation of satellite to Amount, optimal algorithm is by searching for all of combination, calculating the PDOP values of every kind of combination, select corresponding group minimum of PDOP values It is final cooperation subset to cooperate.Therefore this is all very big algorithm of a kind of time loss and amount of calculation.
[1]Moragrega,Ana;Closas,Pau;Ibars,Christian,Potential Game for Energy-Efficient RSS-Based Positioning in Wireless Sensor Networks,IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS,(2015)1394-1406
[2]K.C.V.Tam,K.Lui,Using micro-genetic algorithms to improve localization in wireless sensor networks,JOURNAL OF COMMUNICATIONS,(2006)1- 10.
[3]K.Das,H.Wymeersch,Censoring for bayesian cooperative positioning in dense wireless networks,IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2012)1835-1842
[4]G.S.-G.Albert Bel 1,Jose Lopez Vicario 2,Real-time path loss and node selection for cooperative localization in wireless sensor networks,IEEE International Symposium on Personal(2010)283{288doi:10.1109/ PIMRCW.2010.5670380
[5]Park C W.Precise relative navigation using augmented CDGPS[D] .Massachusetts:Massachusetts Institute of Technology, 2001.
The content of the invention
Regarding to the issue above, the purpose of the present invention is to overcome the shortcomings of existing neighbors selection algorithm, there is provided one kind cooperation Positioning node system of selection.The present invention combines the topology distribution between the reliability and node of the position of neighbors, to PDOP algorithms Improvement is optimized, the algorithm after optimization not only goes for co-positioned, and avoids institute is searched in the total space There is combination, node to be positioned is quickly selected suitable node and positioned.To achieve the above object, the present invention takes following Technical scheme:
A kind of co-positioned node selecting method based on conllinear degree, if the neighbor node collection of node to be positioned is combined into S, i, J is two nodes in set S, and i, j are two nodes in set S, θijIt is node i, the line institute structure of j and node to be positioned Into angle, including the steps:
The first step:Estimate variances sigma of the node to be positioned relative to the location estimation of node ii
Second step:Cost value J between calculate node i and node jij=cos2 θij, and by other all visible elements Expense is added as the total cost with positioning node node:
3rd step:Calculate the final cost value of the node to be positioned:
4th step:The maximum node of cost value is deleted from neighbors collection S.
5th step:Repeat second and third, four steps are until being left the node that specifies number.
Due to taking above technical scheme, it has advantages below to the present invention:
1. the algorithm is by calculating the total cost of each neighbor nodeTo reject inappropriate one by one Node, it is to avoid the computationally intensive problem of total space search.
2. the algorithm has weighed the reliability of neighbors position simultaneously, and the variance of the position of neighbors is counted as weights Calculate the cost value of the node.Position variance is bigger, and the cost value of the node is bigger.
3. the method can effectively propose to reject the node of angle very little each other, remaining combination of nodes is had very Good geometry distribution.As shown in Figure 2, the bigger combination of nodes of angle has the bigger magnitude of value.The method calculates rapid, selection Although combination of nodes be not most have disaggregation, realized between the two in algorithm complex and positioning precision preferably flat Weighing apparatus.
Brief description of the drawings
Fig. 1 co-positioned scene graph, node to be positioned selects the node for specifying number from 5 neighbors around in figure, θ12Represent the angle between neighbors.
Fig. 2 nodes magnitude of value with angle change curve
PDOP value over time variation tendency of Fig. 3 algorithms of different in the combination of nodes of selection
Specific embodiment
If the neighbor node collection of node to be positioned is combined into S, i, j is two nodes in set S, θijBe node i, j with treat The angle that the line of positioning node is constituted, as shown in Figure 1.The implementation procedure of selection algorithm is as follows:
The first step:Node i estimates the variances sigma of the location estimation of the node firsti
Second step:Node i is calculated and the cost value J between j nodesij=cos2 θij, and by other all visible elements Expense is added as the total cost of the node:
3rd step:The variance of the i-node estimated location that the first step is obtained is multiplied with the node and other node total costs As final cost value:
4th step:The maximum node of cost value is deleted from neighbors collection S.
5th step:Repeat second and third, four steps are until being left the node that specifies number.
Algorithm of the invention, the effect of realization and the effect using the acquisition of PDOP methods have almost identical effect, but It is but to save substantial amounts of search time and amount of calculation.Node set PDOP is used as the standard for weighing cooperative node set, Ke Yifa The PDOP of existing innovatory algorithm is only second to optimal algorithm, and the PDOP values of farthest, last algorithm are approached, and random algorithm is (from all neighbours Part of nodes is randomly choosed in node to be cooperated) change than larger.
With reference to Fig. 3 and Biao 1, although optimal algorithm obtains best result in PDOP, position error.But when calculating Between it is also very long, more than 2 orders of magnitude of other algorithms, innovatory algorithm is only second to optimal algorithm in PDOP and position error.It is surplus Although under three kinds of algorithms it is time-consuming fewer, be cannot be guaranteed (Fig. 3) from performance.
Table 1 is taken using the positioning of different choice algorithm

Claims (1)

1. a kind of based on the conllinear co-positioned node selecting method spent, if the neighbor node collection of node to be positioned is combined into S, i, j It is two nodes in set S, i, j are two nodes in set S, θijIt is node i, the line institute structure of j and node to be positioned Into angle.Including the steps:
The first step:Estimate variances sigma of the node to be positioned relative to the location estimation of node ii
Second step:Cost value J between calculate node i and node jij=cos2 θij, and by the expense of other all visible elements It is added as the total cost with positioning node node:
3rd step:Calculate the final cost value of the node to be positioned:
4th step:The maximum node of cost value is deleted from neighbors collection S;
5th step:Repeat second and third, four steps are until being left the node that specifies number.
CN201710114984.XA 2017-02-28 2017-02-28 Cooperative positioning node selection method based on collinear degree Expired - Fee Related CN106879069B (en)

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