DocumentCode :
3085408
Title :
Delay monitoring for wireless sensor networks: An architecture using air sniffers
Author :
Zeng, Wei ; Chen, Xian ; Kim, Yoo-Ah ; Zhengming Bu ; Wei, Wei ; Wang, Bing ; Shi, Zhijie Jerry
Author_Institution :
Comput. Sci.&Eng. Dept., Univ. of Connecticut, Storrs, CT, USA
fYear :
2009
fDate :
18-21 Oct. 2009
Firstpage :
1
Lastpage :
8
Abstract :
Wireless sensor networks have been used for many delay-sensitive applications, e.g., emergency response and plant automation. In such networks, delay measurement is important for a number of reasons, e.g., real-time control of the networked system, and abnormal delay detection. In this paper, we propose a measurement architecture using distributed air sniffers, which provides convenient delay measurement, and requires no clock synchronization or instrumentation at the sensor nodes. One challenge in deploying this architecture is how to place the sniffers for efficient delay measurement. We prove the sniffer placement problem is NP-hard and develop two algorithms to solve it. Using a combination of small-scale testbed experiments and large-scale simulation, we demonstrate that our architecture leads to accurate delay monitoring and is effective in detecting abnormal delays, and furthermore, the number of sniffers required by our sniffer placement algorithms is close to the minimum required value.
Keywords :
delay estimation; optimisation; synchronisation; wireless sensor networks; NP-hard problem; abnormal delay detection; air sniffers; clock synchronization; delay monitoring; sniffer placement; wireless sensor networks; Automatic control; Automation; Clocks; Control systems; Delay effects; Delay systems; Monitoring; Real time systems; Synchronization; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, 2009. MILCOM 2009. IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-5238-5
Electronic_ISBN :
978-1-4244-5239-2
Type :
conf
DOI :
10.1109/MILCOM.2009.5379950
Filename :
5379950
Link To Document :
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