PAMAS—power aware multi-access protocol with signalling for ad hoc networks
ACM SIGCOMM Computer Communication Review
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The cougar approach to in-network query processing in sensor networks
ACM SIGMOD Record
Power-efficient data dissemination in wireless sensor networks
Proceedings of the 3rd ACM international workshop on Data engineering for wireless and mobile access
Approximate Aggregation Techniques for Sensor Databases
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Synopsis diffusion for robust aggregation in sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Balancing energy efficiency and quality of aggregate data in sensor networks
The VLDB Journal — The International Journal on Very Large Data Bases
Design, analysis and empirical evaluation of power management in multi-hop wireless networks
Design, analysis and empirical evaluation of power management in multi-hop wireless networks
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Tributaries and deltas: efficient and robust aggregation in sensor network streams
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
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Sensors provide unprecedented access to a wealth of information from the physical environment in real-time. However, they suffer from a variety of resource limitations, most importantly power consumption and communication bandwidth. Additionally, environmental conditions can contribute to sensor failures, disrupting the flow of query results. In this paper, we propose new techniques to deal with sensor failures based on the principles of partition and single path redundancy. Our experimental results confirm the efficiency of our techniques with respect to different performance metrics in general, and, in particular, high quality of data.