Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
Understanding packet delivery performance in dense wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
A framework for wireless LAN monitoring and its applications
Proceedings of the 3rd ACM workshop on Wireless security
Architecture and techniques for diagnosing faults in IEEE 802.11 infrastructure networks
Proceedings of the 10th annual international conference on Mobile computing and networking
The flooding time synchronization protocol
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
MOJO: a distributed physical layer anomaly detection system for 802.11 WLANs
Proceedings of the 4th international conference on Mobile systems, applications and services
Models and solutions for radio irregularity in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Analyzing the MAC-level behavior of wireless networks in the wild
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Understanding congestion in IEEE 802.11b wireless networks
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Automating cross-layer diagnosis of enterprise wireless networks
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
SRCP: Simple Remote Control for Perpetual High-Power Sensor Networks
EWSN '09 Proceedings of the 6th European Conference on Wireless Sensor Networks
Optimal monitoring in multi-channel multi-radio wireless mesh networks
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Wireless reliability: Rethinking 802.11 packet loss
WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
Gradient clock synchronization in wireless sensor networks
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Deployment support network a toolkit for the development of WSNs
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
Passive inspection of sensor networks
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Delay monitoring for wireless sensor networks: an architecture using air sniffers
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
A framework for misuse detection in ad hoc Networks-part I
IEEE Journal on Selected Areas in Communications
Time synchronization in sensor networks: a survey
IEEE Network: The Magazine of Global Internetworking
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Wireless sensor networks have been used for many delay-sensitive and safety-critical applications, e.g., emergency response and plant automation. For such applications, delay measurement inside the sensor networks is important for real-time monitoring and control of the networked system, and abnormal delay detection. In this paper, we propose a measurement architecture using distributed air sniffers. This approach provides convenient delay measurement, and requires no clock synchronization or instrumentation at the sensor nodes. Since using sniffers incurs additional deployment cost, we investigate two aspects to reduce deployment cost: (1) using inexpensive mote-class sniffers and (2) carefully placing the sniffers to minimize the number of sniffers that are needed. Specifically, we experimentally quantify the capability and fidelity of mote-class sniffers for delay measurement, and show that they provide satisfactory monitoring performance. We further formulate and solve a sniffer placement problem that minimizes the number of sniffers while taking account of the workload constraints of the sniffers, and show that the number of sniffers under our sniffer placement algorithms is only a small fraction of the number of sensor nodes in the network. Last, we demonstrate the effectiveness of our architecture for abnormal delay detection using experiments in a testbed.