CN101355583A - Method for searching buffer based on loose location dependence in wireless self-networking - Google Patents

Method for searching buffer based on loose location dependence in wireless self-networking Download PDF

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CN101355583A
CN101355583A CNA2008101960417A CN200810196041A CN101355583A CN 101355583 A CN101355583 A CN 101355583A CN A2008101960417 A CNA2008101960417 A CN A2008101960417A CN 200810196041 A CN200810196041 A CN 200810196041A CN 101355583 A CN101355583 A CN 101355583A
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result
loose
searching
user
effective coverage
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CN101355583B (en
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王义麟
李文中
陆桑璐
陈道蓄
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Nanjing University
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Nanjing University
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Abstract

The invention discloses a method for searching a buffer memory based on loose position dependence in a wireless ad-hoc network. The searching process under the mode of loose position dependence comprises the following steps of: 1) generating a request; 2) searching a local buffer memory, and executing step 3) if no result; 3) sending a searching request to a neighbored user who executes the local searching of step 2) and returns a result to the user who submits the request and selects an optimal result, and executing step 4) if no result; and 4) submitting a searching request to a server to return the optimal result. The user can add overhead which can be afforded by the user according to particular conditions when the user submits the searching request, and determines whether buffer data is available or not through comparing effective areas of the buffer data and corresponding restriction values. The method not only improves the hit rate of the buffer memory, but also reduces the energy consumption during the process of communication transmission.

Description

In the wireless self-networking based on the method for searching buffer of loose location dependence
Technical field
The present invention relates to the data cached management of dependence information service in position in the wireless self-networking, specially refer to definition and describing method for data cached effective coverage, space.
Technical background
Position dependent information service (Location Dependent Information Services is called for short LDISs) is current moving and next class important use of general environment.Different with information service in the past, rely on the request that the user proposes in the information service in the position and in global scope, may have a plurality of alternative results, and actually which to be only the user needed, be that the geographical location information when being initiated by request is determined.Along with wireless and popularization general fit calculation, a large amount of position dependent information services as traffic inquiry and automobile navigation etc., has demonstrated great application prospect.Different with wire communication, this category information service facing many-sided problem under wireless environment, and caching technology has very positive effect to promoting this type of systematic function.
In the position relies on information service, except Data Update, data cachedly also can become invalid data, promptly so-called " cache invalidation that the position relies on " owing to user's position change.In order to solve the cache invalidation problem that the position relies on, can in data cached, preserve the effective coverage of these data usually, the user just can judge whether this is data cached effective according to the effective coverage in this locality like this.Need extra storage and transport overhead yet preserve the effective coverage, therefore how to define effectively and represent that the effective coverage becomes important research contents in the cache invalidation research that the position relies on.
Existing research only is confined to strict position dependence for the definition of effective coverage, the effective coverage that is each data object is disjoint, appoint and give a query requests, a suitable data object is arranged and only has in arbitrary zone, if this object not in local cache, then must obtain from server.And in a large amount of practical applications, user's request does not need to return optimal results, as long as object within user's acceptable scope, can return to the user as suitable result.The benefit of introducing this loose restriction relation be more to fit user's actual request provides more alternative result simultaneously, can obviously improve the hit rate of buffer memory.Existing work can not define the restriction relation of this " loose ", so we need define new describing method.
Summary of the invention
The objective of the invention is to rely on the position dependence of information service, proposed a kind of definition and described the new method that loose location dependence concerns at position in the wireless self-networking.
Based on the method for searching buffer of loose location dependence, it is characterized in that in a kind of wireless self-networking of the present invention with space constraint (r), internal object collection (P In) and peripheral object set (P Out) a data object q described 0Loose effective coverage, and the search procedure under the loose location dependence pattern comprises following 4 steps:
1) generates request Q (X, (xc, yc), Δ d);
2) if local cache search is no result execution in step 3 then);
3) send searching request to neighbours user, each neighbours user's execution in step 2) local search, the result is returned the generation requesting users, select optimum result by this user, if no result execution in step 4 then);
4) submit searching request to server, return optimal result by server.
For given q 0And r, the building method of loose effective coverage is: make Poly iThe q that expression is divided with Voronoi figure i(i=1 ..., the limit collection of effective coverage N) is at first q iBy arriving q 0Distance sort from small to large, take out nearest object q k, do curve f (M (x, y)): | q 0M|-|q kIf M|=r is this curve and Poly kIntersection point be less than 2, then get next object and repeat aforesaid operations, if this curve and Poly k2 intersection point P are arranged 1And P 2(the q of this moment kBe a peripheral object), get an intersection point P 2, then must have another object q K ', P 2Also at Poly K 'A limit on, do new curve f ' (M (x, y)): | q 0M|-|q K 'M|=r obtains another intersection point P 3, go down to obtain new intersection point P successively 4, P 5..., P mOwing to cross some P 1, P 2..., P mSeal with the zone that the hyperbolic line segment is surrounded, i.e. P M+1=P 1, q so far 0The limit collection structure of loose effective coverage finish, also found out all peripheral objects simultaneously, the internal object collection just can be determined in the position that next can contrast each data object, promptly is positioned at other alternative data objects of this loose effective coverage.
Above-mentioned steps 2) process is: the search local cache, find out alternative result set Ai}, i.e. its loose effective coverage coverage rate user's current location, for each Ak ∈ Ai}, if its space constraint value rk≤Δ d, then Ak is suitable Search Results of Q; Otherwise, find out that (coordinate is nearest alternative objects qx (the ∈ P of M (xc, yc)) from Q In), make e=|qkM|-|qxM|, if e 〉=Δ d, then Ak also be suitable result of Q, returns the suitable result with minimum e, as if no result execution in step 3 then
According to the present invention, user's its overhead that can bear of affix (comparing the expense that need pay more with optimal result) as the case may be when proposing searching request is by comparing data cached effective coverage and corresponding binding occurrence decides this data cached whether available.This method had both improved the hit rate of buffer memory, had also reduced the energy expense in the communication transmission process simultaneously.
Description of drawings
Fig. 1 is the effective coverage schematic diagram under the loose location dependence pattern;
Fig. 2 is the search procedure schematic diagram under the loose location dependence pattern.
Embodiment
Wireless self-networking is made up of base station and one group of mobile terminal device (being the user), and one group of portable terminal is interconnected to form a self-organizing network.Each portable terminal all has the function of data route, can be other device forwards data.The base station is a fixing accessing points, can be regarded as a data server, and the data of all requests of portable terminal can be got from the base station.The part portable terminal is positioned at the communication range of base station, they can with the base station direct communication.If a portable terminal is positioned at outside the communication range of base station, it can pass through the multi-hop communication mode, utilizes other-end to transmit, thereby can have access to the data of base station.There are a plurality of alternative data objects (its physical location is fixed) in a searching request for portable terminal proposes in global scope, when the user proposed searching request, service routine can be determined suitable data object according to user's current location.
Based on the loose request of loose location dependence pattern, for example " look near the hotel the family, the there from the distance of current position compared with no more than 100 meters of the distance in a nearest tame hotel ", its user can bear overhead (Δ d) for walking 100 meters more.Fig. 1 is the effective coverage schematic diagram under the loose location dependence pattern, wherein data object q 2For from the nearest alternative objects of user M, q 1From user's distance than q 2Δ d rice far away.Can object of proof q 1Be that the loose effective coverage of binding occurrence is the closed area that is surrounded by one group of hyperbolic line segment with Δ d.
The present invention's space constraint (r), internal object collection (P In) and peripheral object set (P Out) a data object q described 0Loose effective coverage.Wherein the border of loose effective coverage is by r and P OutDetermine P InBe used to calculate q 0And the difference between the actual optimum result of request.
For given q 0Can find a unique description with r, concrete grammar is as follows: make Poly iThe q that expression is divided with Voronoi figure i(i=1 ..., the limit collection of effective coverage N), at first we are q iBy arriving q 0Distance sort from small to large, take out nearest object q k, do curve f (M (x, y)): | q 0M|-|q kIf M|=r is this curve and Poly kIntersection point be less than 2, then get next object and repeat aforesaid operations.If this curve and Poly k2 intersection point P are arranged 1And P 2(the q of this moment kBe a peripheral object), get an intersection point P 2, then must have another object q K ', P 2Also at Poly K 'A limit on.Do new curve f ' (M (x, y)): | q 0M |-| q K 'M |=r obtains another intersection point P 3, go down to obtain new intersection point P successively 4, P 5..., P mOwing to cross some P 1, P 2..., P mSeal with the zone that the hyperbolic line segment is surrounded, i.e. P M+1=P 1So far q 0The limit collection structure of loose effective coverage finish, also found out all peripheral objects simultaneously.Internal object collection (being positioned at other alternative data objects of this loose effective coverage) just can be determined in the position that next can contrast each data object.
Search procedure under the loose location dependence pattern can be divided into 4 steps (as shown in Figure 2).
1. generate request Q (X, (xc, yc), Δ d).
2. the search local cache is found out alternative result set { Ai}, i.e. its loose effective coverage covering user's current location.For each Ak ∈ Ai}, if its space constraint value rk≤Δ d, then Ak is suitable Search Results of Q; Otherwise, find out that (coordinate is nearest alternative objects qx (the ∈ P of M (xc, yc)) from Q In), make e=|qkM|-|qxM|, if e 〉=Δ d, then Ak also is suitable result of Q.Return suitable result, if no result execution in step 3 then with minimum e.
3. send searching request to neighbours user, each neighbours user carries out local search (with step 2), and the result is returned the generation requesting users, selects to have the suitable result of minimum e by this user, if no result execution in step 4 then.
4. submit searching request to server, return optimal result by server.

Claims (3)

1, in a kind of wireless self-networking based on the method for searching buffer of loose location dependence, it is characterized in that with space constraint (r), internal object collection (P In) and peripheral object set (P Out) a data object q described 0Loose effective coverage, and the search procedure under the loose location dependence pattern comprises following 4 steps:
1) generates request Q (X, (xc, yc), Δ d);
2) if local cache search is no result execution in step 3 then);
3) send searching request to neighbours user, each neighbours user's execution in step 2) local search, the result is returned the generation requesting users, select optimum result by this user, if no result execution in step 4 then);
4) submit searching request to server, return optimal result by server.
2, in the wireless self-networking according to claim 1 based on the method for searching buffer of loose location dependence, it is characterized in that for given q 0And r, the building method of loose effective coverage is: make Poly iThe q that expression is divided with Voronoi figure i(i=1 ..., the limit collection of effective coverage N) is at first q iBy arriving q 0Distance sort from small to large, take out nearest object q k, do curve f (M (x, y)): | q 0M|-|q kIf M|=r is this curve and Poly kIntersection point be less than 2, then get next object and repeat aforesaid operations, if this curve and Poly k2 intersection point P are arranged 1And P 2(the q of this moment kBe a peripheral object), get an intersection point P 2, then must have another object q K ', P 2Also at Poly K 'A limit on, do new curve f ' (M (x, y)): | q 0M|-|q K 'M|=r obtains another intersection point P 3, go down to obtain new intersection point P successively 4, P 5..., P mOwing to cross some P 1, P 2..., P mSeal with the zone that the hyperbolic line segment is surrounded, i.e. P M+1=P 1, q so far 0The limit collection structure of loose effective coverage finish, also found out all peripheral objects simultaneously, the internal object collection just can be determined in the position that next can contrast each data object, promptly is positioned at other alternative data objects of this loose effective coverage.
3, in the wireless self-networking according to claim 1 based on the method for searching buffer of loose location dependence, it is characterized in that step 2) process be: the search local cache, find out alternative result set { Ai}, it is its loose effective coverage coverage rate user's current location, for each Ak ∈ { Ai}, if its space constraint value rk≤Δ d, then Ak is suitable Search Results of Q; Otherwise, find out that (coordinate is nearest alternative objects qx (the ∈ P of M (xc, yc)) from Q In), make e=|qkM|-|qxM|, if e 〉=Δ d, then Ak also be suitable result of Q, returns the suitable result with minimum e, as if no result execution in step 3 then).
CN2008101960417A 2008-09-11 2008-09-11 Method for searching buffer based on loose location dependence in wireless self-networking Expired - Fee Related CN101355583B (en)

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Cited By (1)

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WO2018090255A1 (en) * 2016-11-16 2018-05-24 华为技术有限公司 Memory access technique

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FI105311B (en) * 1997-09-04 2000-07-14 Ericsson Telefon Ab L M Procedure and arrangements for finding information
AU2003288648A1 (en) * 2003-01-10 2004-08-10 Koninklijke Philips Electronics N.V. Dynamic network formation for wireless adhoc networks

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018090255A1 (en) * 2016-11-16 2018-05-24 华为技术有限公司 Memory access technique
US11210020B2 (en) 2016-11-16 2021-12-28 Huawei Technologies Co., Ltd. Methods and systems for accessing a memory

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