Paper Info
Title
A probabilistic approach to statistical QoS provision of event detection in sensor networks
Abstract
It is of significant importance to provide network-wide Quality of Service (QoS) for a wide range of event detection applications in wireless sensor networks. This paper investigates the important problem of QoS provision to abnormal event detection. For event detection applications, there are two key performance metrics, i.e., detection probability and detection latency. This paper considers both metrics, aiming to provide statistical QoS for abnormal event detection. It is, however, a challenging issue because of stringent resource constraints of sensor nodes and unpredictable randomness of physical events. We propose a probabilistic approach to statistical QoS provision for event detection in sensor networks. We propose a distributed algorithm that iteratively determines the active probability of each sensor node. The probability is kept small for energy efficiency but sufficiently large to provide the required detection QoS. Our approach is flexible and can detection QoS customized by applications. Comprehensive simulation experiments have been conducted, which demonstrate that our approach is able to provide the required detection QoS for event detection and achieves considerably longer the system lifetime compared with other competing schemes.
Year
DOI
Venue
2016
10.1007/s11276-015-0980-6
Wireless Networks
Keywords
Field
DocType
Wireless sensor networks,QoS,Distributed event detection,Probabilistic,Energy efficiency
Sensor node,Efficient energy use,Computer science,Latency (engineering),Computer network,Quality of service,Real-time computing,Distributed algorithm,Probabilistic logic,Wireless sensor network,Randomness,Distributed computing
Journal
Volume
Issue
ISSN
22
2
1022-0038
Citations 
PageRank 
References 
3
0.47
28
Authors
2
Name
Order
Citations
PageRank
Yanmin Zhu11767142.50
Lionel M. Ni29462802.67