Temporal Data-Driven Sleep Scheduling and Spatial Data-Driven Anomaly Detection for Clustered Wireless Sensor Networks

The spatial–temporal correlation is an important feature of sensor data in wireless sensor networks (WSNs). Most of the existing works based on the spatial–temporal correlation can be divided into two parts: redundancy reduction and anomaly detection. These two parts are pursued separately in existi...

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Bibliographic Details
Main Authors: Gang Li, Bin He, Hongwei Huang, Limin Tang
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Sensors
Subjects:
WSN
Online Access:http://www.mdpi.com/1424-8220/16/10/1601