Tolerating failures of continuous-valued sensors
ACM Transactions on Computer Systems (TOCS)
A distributed monitoring mechanism for wireless sensor networks
WiSE '02 Proceedings of the 1st ACM workshop on Wireless security
GS3: scalable self-configuration and self-healing in wireless networks
Proceedings of the twenty-first annual symposium on Principles of distributed computing
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Sympathy for the sensor network debugger
Proceedings of the 3rd international conference on Embedded networked sensor systems
An Overview of the VigilNet Architecture
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
VigilNet: An integrated sensor network system for energy-efficient surveillance
ACM Transactions on Sensor Networks (TOSN)
SASHA: toward a self-healing hybrid sensor network architecture
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Proceedings of the 7th International Workshop on Middleware Tools, Services and Run-Time Support for Sensor Networks
Managing software evolution in large-scale wireless sensor and actuator networks
ACM Transactions on Sensor Networks (TOSN)
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This paper introduces a framework for in-field-maintenance services for wireless sensor networks. The motivation of this work is driven by an observation that many applications using wireless sensor networks require one-time deployment and will be largely unattended. It is also desirable for the applications to have a long system lifetime. However, the performance of many individual protocols and the overall performance of the system deteriorate over time. The framework we present here allows the system or each individual node in the network to identify the performance degradation, and to act to bring the system back to a desirable coherent state. We implement and apply our framework to a case study for a real system, called VigilNet [5]. The performance evaluation demonstrates that our framework is effective and efficient.