After checking the relative documents, this paper is one of the pioneer to use the multicast architecture for grid computing field [14], which��according to the idea from qualitative to quantitative��builds mathematic model, finds game and balance relationship, resolves linear parameter, and accurately improves the efficiency of transmission of sensor grid.1.3. OrganizationThe architecture of this paper as follows: After describing the motivation in Section 1., the paper presents the problem in Section 1.3. and discuss how to figure out different weights in Section 2. Section 3. depicts the four sub-algorithm and the detail steps in different sub-algorithm. Section 4.
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Location-Based Services (LBS) are a booming topic in business [1] and science [2].
They are defined as ��geographically-oriented data and information services to users across mobile telecommunications networks�� [3]. Contemporary devices combined with software developments based on Web 2.0 extend LBS into the direction of interactive Location-Based Service (iLBS). With iLBS, the user of a mobile smart-phone is no longer simply the consumer Cilengitide of location and of context-dependent information via push and pull interfaces, but also becomes a participant in collecting data and reviewing information. Interactive LBS constitutes the next stage �C locative media [4] �C in the use of mobile phone technology.
The current generation mobile phones provide many functions to acquire location-based data (via GPS) by text files, digital pictures, sound files and video streams.
These data can be gained at will and can be stored and shared via wireless internet. Therefore, we define iLBS as ��geographically-oriented data and information services to support user communities across mobile telecommunications networks��.One could envisage that people equipped with such mobile devices and linked to an iLBS could serve as part of a sensor network [5]. Such a ��human sensor�� may operate well within a sensor network if he/she would have clearly-defined assignments and constrained services for acquiring and uploading data. In that respect, one may consider client applications with input forms using closed questions and fixed answer lists.
By controlling applications on client or server side, the validity of the captured data may be checked as Batimastat well [6]. We qualify such iLBS applications as formal iLBS. Formal iLBS can perform well in many application domains such as controlling and sampling procedures [7].Some studies have mentioned the impact of data gathered via less constrained applications that means that this sensor role comes closer to human way of sensing.