Paper Info
Title
FTDA: outlier detection-based fault-tolerant data aggregation for wireless sensor networks.
Abstract
Data aggregation protocols are essential for wireless sensor networks to prolong network lifetime by reducing energy consumption of sensor nodes. For mission-critical wireless sensor networks, however, not only the energy consumption of sensor nodes but also the correctness of the data aggregation results is critical. As wireless sensor networks are usually deployed in harsh and hostile environments, malfunctioning and/or compromised sensor nodes negatively affect the correctness of the data aggregation results. This paper presents a fault-tolerant data aggregation scheme that eliminates the false data sent by malfunctioning and/or compromised sensor nodes. To conserve energy while eliminating false data, an in-network outlier detection technique that is based on locality sensitive hashing scheme is used. The simulation results show that the proposed scheme is able to reduce the number of false data transmissions, thereby increasing the data aggregation accuracy. Moreover, it is also observed that the proposed scheme reduces the overall data transmission in the network. Copyright (c) 2012 John Wiley & Sons, Ltd.
Year
DOI
Venue
2013
10.1002/sec.604
SECURITY AND COMMUNICATION NETWORKS
Keywords
Field
DocType
fault-tolerant data aggregation,outlier detection,wireless sensor networks
Key distribution in wireless sensor networks,Anomaly detection,Data transmission,Computer science,Computer security,Computer network,Fault tolerance,Mobile wireless sensor network,Data aggregator,Energy consumption,Wireless sensor network
Journal
Volume
Issue
ISSN
6
6
1939-0114
Citations 
PageRank 
References 
14
0.63
20
Authors
2
Name
Order
Citations
PageRank
Suat Ozdemir135026.30
Yang Xiao26317456.36