Similar physical entity matching strategy for mobile edge search
| Autor: | Xuyuan Kang, Puning Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Matching (statistics)
Similarity (geometry) Computer Networks and Communications Computer science 02 engineering and technology computer.software_genre 020210 optoelectronics & photonics 0202 electrical engineering electronic engineering information engineering Overhead (computing) Degree (graph theory) lcsh:T58.5-58.64 business.industry lcsh:Information technology Entity matching 020206 networking & telecommunications Internet of things search Hardware and Architecture Similarity calculation Computer data storage Mobile edge computing Data mining Enhanced Data Rates for GSM Evolution Physical entity business Raw data computer |
| Zdroj: | Digital Communications and Networks, Vol 6, Iss 2, Pp 203-209 (2020) |
| ISSN: | 2352-8648 |
| Popis: | In recent years, a large number of intelligent sensing devices have been deployed to the physical world, which brings great difficulties to the existing entity search. With the increase of the number of intelligent sensing devices, the accuracy of the search system in querying the entities matching the user's request is reduced, and the delay of entity search is also increased. We use the idea of mobile edge technology to alleviate this problem by processing user requests on the edge side, so we propose a similar physical entity matching strategy for mobile edge search. First, the raw data collected by the sensor is lightly weighted and expressed to reduce the storage overhead of the observed data. Furthermore, a physical entity matching degree estimation method is proposed, and the similarity between the sensor and the given sensor in the network is estimated, and the matching search of the user request is performed according to the similarity. Simulation results show that the proposed method can effectively reduce the data storage overhead and improve the precision of the sensor search system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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