A sensor network performance inference algorithm based on passive measurement

Authors:
Yu Yang;Yongjun Xu;Xiaowei Li
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences and Graduate School of Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences and Graduate School of Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences and Graduate School of Chinese Academy of Sciences, Beijing, China
Venue:
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Year:
2009

Citing 11
Cited 0

Taming the underlying challenges of reliable multihop routing in sensor networks

Proceedings of the 1st international conference on Embedded networked sensor systems
Loss inference in wireless sensor networks based on data aggregation

Proceedings of the 3rd international symposium on Information processing in sensor networks
Field Trials with Wireless Sensor Networks: Issues and Remedies

ICCGI '06 Proceedings of the International Multi-Conference on Computing in the Global Information Technology
An improved algorithm for multicast topology discovery from end-to-end measurements: Research Articles

International Journal of Communication Systems
MPIDA: A Sensor Network Topology Inference Algorithm

CIS '07 Proceedings of the 2007 International Conference on Computational Intelligence and Security
Loss tomography in wireless sensor network using Gibbs sampling

EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
Murphy loves potatoes: experiences from a pilot sensor network deployment in precision agriculture

IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Data-aggregation techniques in sensor networks: a survey

IEEE Communications Surveys & Tutorials
Multicast-based inference of network-internal loss characteristics

IEEE Transactions on Information Theory
Multicast topology inference from measured end-to-end loss

IEEE Transactions on Information Theory
A factor graph approach to link loss monitoring in wireless sensor networks

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless sensor networks need energy-efficient mechanisms of performance measurement for various aspects of network design, optimization and management. In this paper, we take into account the unique data aggregation communication paradigm of wireless sensor networks: the network performance can be measured by exploiting whether application data from various sensor nodes reach the sink, without incurring any additional overhead of active probes or performance reports. Then we present a novel algorithm, which can infer sensor network topology and link loss performance simultaneously. Finally, we validate the algorithm through simulations and it exhibit ts good performance and scalability.