Tolerating failures of continuous-valued sensors
ACM Transactions on Computer Systems (TOCS)
A survey of rollback-recovery protocols in message-passing systems
ACM Computing Surveys (CSUR)
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Evaluating Distributed Checkpointing Protocol
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
PNPM '01 Proceedings of the 9th international Workshop on Petri Nets and Performance Models (PNPM'01)
An Overview of Checkpointing in Uniprocessor and DistributedSystems, Focusing on Implementation and Performance
Data-centric storage in sensornets with GHT, a geographic hash table
Mobile Networks and Applications
On Handling QoS Traffic in Wireless Sensor Networks
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 9 - Volume 9
Performance Study of Node Placement in Sensor Networks
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Distributed quality-of-service routing in ad hoc networks
IEEE Journal on Selected Areas in Communications
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Networked sensor systems (NSS) have the potential of significantly enhancing our ability to monitor and interact with our physical environment. For example, numerous tiny sensors may be spread all over a forest to reveal the forest's life and events in detail along the time-space continuum. Critical to the success of NSS is the reliable collection and dissemination of data while conserving sensors' limited resources, in particular energy. In this paper, we propose a novel scheme that provides fault-tolerant data collection and dissemination through data checkpointing and recovery. We assume that the data is periodically reported from a sink node to the end users. Based on a model-based simulation, we show that our scheme is highly resilient to sensor and sink failure. It also leads to enhanced NSS lifetime and data collection with minimal overhead.