DocumentCode :
3344771
Title :
Probabilistic Approach to Provisioning Guaranteed QoS for Distributed Event Detection
Author :
Yanmin Zhu ; Ni, Lionel M.
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Hong Kong
fYear :
2008
fDate :
13-18 April 2008
Abstract :
It has been of significant importance to provision network-wide guaranteed QoS for a wide range of event detection applications in wireless sensor networks (WSNs). This paper investigates solutions to this QoS provision problem. For event detection applications, there are two key performance metrics, i.e., detection probability and detection latency. This paper focuses on dual-objective QoS provision, taking both metrics into account. This is very challenging due to the stringent resource constraint of sensor nodes and unpredictable randomness of physical events. We propose a novel probabilistic approach to provisioning due-objective QoS. Following a unified framework, we design a distributed algorithm that determines the active probability of every sensor node. The probability is minimized while being sufficient for QoS provision. Our approach is flexible and supports different requirements that may be posed by different applications. Theoretical analysis and comprehensive simulation experiments have been conducted, which jointly demonstrate that our approach is able to deliver guaranteed QoS for distributed event detection while prolonging the system lifetime significantly compared with other alternative schemes.
Keywords :
distributed algorithms; probability; quality of service; wireless sensor networks; distributed algorithm; distributed event detection; dual-objective QoS provision; probability; wireless sensor network; Algorithm design and analysis; Delay; Distributed algorithms; Energy conservation; Energy consumption; Event detection; Peer to peer computing; Quality of service; Sensor systems; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM 2008. The 27th Conference on Computer Communications. IEEE
Conference_Location :
Phoenix, AZ
ISSN :
0743-166X
Print_ISBN :
978-1-4244-2025-4
Type :
conf
DOI :
10.1109/INFOCOM.2008.108
Filename :
4509703
Link To Document :
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