Scalable Fault-Tolerant Aggregation in Large Process Groups
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
Cleaning and querying noisy sensors
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
IEEE Transactions on Computers
Spatio-temporal correlation: theory and applications for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: In memroy of Olga Casals
An analysis of a large scale habitat monitoring application
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Measurement and monitoring in wireless sensor networks
Measurement and monitoring in wireless sensor networks
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Sympathy for the sensor network debugger
Proceedings of the 3rd international conference on Embedded networked sensor systems
On Distributed Fault-Tolerant Detection in Wireless Sensor Networks
IEEE Transactions on Computers
Run time assurance of application-level requirements in wireless sensor networks
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
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A wide range of applications have started to use Wireless Sensor Networks (WSNs) as an information collection and monitoring tool. However, the networks may suffer from various factors that degrade their functionality. One of these factors is the frequent deviation of WSN nodes from their normal operation because of sensor device problems, battery issues and harsh environment they are in. These deviations may case a decrease in the quality and the quantity of the collected data, and use more network resources that reduce network lifetime. The goal of this paper is to propose a new distributed performance algorithm that insures the detection of deviations that degrade WSN collected data and reduce their impact on network functionality. Simulation results showed that the proposed algorithm achieved a high-level of detection reliability on node status. In addition, they showed that the proposed algorithm is resilient to both high packet loss and environmental changes.