Animal Health Observation by Using Query Processing Based On Fuzzy Logic in Wireless Sensor Network

Abstract

Wireless Sensor Networks (WSNs) query processing based on fuzzy logic provides specifications of the desired data of common natural language, eliminate the custom of threshold values the same as predicates. The query of fuzzy results were associates through a degree of quantity so as to indicate how personally each one return data value match the semantic goal of the query based on fuzzy, provide application through other information so as to be used to cause on the query result. Fuzzy queries are valid used for applications to demands solo query to calculate values for spatial objects by different threshold values hence reduced message broadcast on the sensor network also the post-hoc analysis on the external server. The proposed system is able to handle different types of fuzzy queries used for different scenario of animal observing application .The efficient query processing depending on routing algorithm used. This effort utilizes Minimum Bounding Rectangle (MBR) based routing by static nodes like cluster head and mobile nodes as cluster member toward efficiently and consistently disseminate query and recover the query results.

Authors and Affiliations

SHAIK TANKASALA ZAREENA BEGUM

Keywords

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  • EP ID EP137686
  • DOI -
  • Views 81
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How To Cite

SHAIK TANKASALA ZAREENA BEGUM (2015). Animal Health Observation by Using Query Processing Based On Fuzzy Logic in Wireless Sensor Network. International Journal of Computer Science & Engineering Technology, 6(4), 210-212. https://europub.co.uk/articles/-A-137686