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Above-Threshold Queries of Environmental Conditions Based on Bilinear Interpolation in Wireless Sensor Networks
Yaxi Liu1, Wei Huangfu2, Haijun Zhang3
1Beijing Advanced Innovation Center for Materials Genome Engineering, Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, School of Computer and Communication Engineering, University of Science and Technology Beijing(USTB), Beijing 100083, China. b20160295@xs.ustb.edu.cn.
This study introduces a new Bilinear Interpolation-Based (BIB) algorithm for wireless sensor networks. The BIB algorithm accurately estimates above-threshold environmental data, improving above-threshold queries.
Area of Science:
- Environmental Science
- Computer Science
- Data Science
Background:
- Wireless sensor networks function as database systems for querying sensor data.
- Above-threshold queries identify regions where sensor values exceed a set limit.
Purpose of the Study:
- To propose a novel algorithm for efficiently supporting above-threshold queries in wireless sensor networks.
- To develop a method for estimating environmental variables within a grid using sensor data.
Main Methods:
- The Bilinear Interpolation-Based (BIB) algorithm estimates environmental variables using known sensor values at grid vertices.
- A closed-form solution for the above-threshold ratio is derived.
- Experiments were conducted using artificial and real temperature data.
Main Results:
- The BIB algorithm demonstrated effective estimation of above-threshold ratios.
- The algorithm proved accurate and efficient in supporting above-threshold queries.
- Experimental results validated the algorithm's performance.
Conclusions:
- The proposed BIB algorithm enhances the accuracy and efficiency of above-threshold queries in regularly-deployed wireless sensor networks.
- Bilinear interpolation is a viable method for estimating environmental variables for spatial database queries.
- The BIB algorithm offers a practical solution for analyzing sensor network data exceeding specific thresholds.
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