NDLI: Event-Driven Top-k Queries in Sensor Networks with Multi Microenvironments

Content Provider	IET Digital Library
Author	Li, Yinglong Lv, Mingqi Yang, Lianghuai
Abstract	In the emerging area of sensor-based systems, a significant challenge is to develop reliable, energy efficient methods to extract useful information from the distributed sensory data. Existing top-k query algorithms of sensor networks are only applicable to the sensor networks with single Microenvironment (ME). Besides, these approaches rely on using raw sensor readings, which handling these raw sensory data requires large amount of data transmission and is memory-consuming. In this paper we highlight the multiple MEs in sensor networks and propose a novel event-driven approximate top-k query framework based on fuzzy method. Firstly, membership function of fuzzy method is introduced to describe the global potential event confidence. Subsequently, non-uniform membership degree subranges based linguistic variables instead of numeric sensor readings are used for in-network top-k event fusion. Also two distributed event-driven approximate top-k query algorithms are devised. Theoretical analysis as well as extensive simulations based on synthetic and real data sets show that our framework reduces the data transmission significantly and the query results are more interpretable with quality guarantees.
Starting Page	373
Ending Page	378
Page Count	6
ISSN	10224653
Volume Number	24
e-ISSN	20755597
Issue Number	Issue 2, Apr (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/24/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2015.04.025
Journal	Chinese Journal of Electronics
Publisher Date	2015-04-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Approximation Theory Combinatorial Mathematics Data Handling Data Handling Technique Data Transmission Distributed Sensory Data Energy Efficient Method Event-driven Approximate Top-k Query Framework Fuzzy Method Fuzzy Set Theory Global Potential Event Confidence Information Extraction Information Retrieval Technique Interpolation And Function Approximation Membership Function Multi Microenvironments Nonuniform Membership Degree Subranges Based Linguistic Variables Numerical Analysis Query Processing Raw Sensor Readings Raw Sensory Data Handling Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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