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Distance Based Query Processing in Mobile Applications


Affiliations
1 Department of Information & Communication Engineering, Anna University, Chennai, India
     

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A digital ecosystem which have been motivated by natural systems aspire to deliver the complication of digital world which is likely to have the properties to self- organize , is scalable and is achievable . Distributed wireless mobile network is the main technology in a digital ecosystem. It provides information exchange and information services that are to be delieverd , which satisfies the requirement for digital ecosystems. Many drivers utilize Global Positioning System (GPS) to replace traditional printed map with ongoing development of the motor industry and mobile communication technology. Given a group of candidate interest objects, a question purpose, and therefore the variety of objects k, dkNN finds the shortest path that goes through all k interest objects with the minimum shortest distance among all attainable methods. By following this path, the user can visit all k interest objects one by one. This path has the shortest distance among all other possible paths. The algorithm functions well if the density is high and the number of interest objects is smaller than seven. This method works on both small and large number of nodes. And also increases the result accuracy for small and large number of nodes.

Keywords

Digital EcoSystem, Query Processing.
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  • Distance Based Query Processing in Mobile Applications

Abstract Views: 163  |  PDF Views: 1

Authors

K. S. Kannan
Department of Information & Communication Engineering, Anna University, Chennai, India

Abstract


A digital ecosystem which have been motivated by natural systems aspire to deliver the complication of digital world which is likely to have the properties to self- organize , is scalable and is achievable . Distributed wireless mobile network is the main technology in a digital ecosystem. It provides information exchange and information services that are to be delieverd , which satisfies the requirement for digital ecosystems. Many drivers utilize Global Positioning System (GPS) to replace traditional printed map with ongoing development of the motor industry and mobile communication technology. Given a group of candidate interest objects, a question purpose, and therefore the variety of objects k, dkNN finds the shortest path that goes through all k interest objects with the minimum shortest distance among all attainable methods. By following this path, the user can visit all k interest objects one by one. This path has the shortest distance among all other possible paths. The algorithm functions well if the density is high and the number of interest objects is smaller than seven. This method works on both small and large number of nodes. And also increases the result accuracy for small and large number of nodes.

Keywords


Digital EcoSystem, Query Processing.