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
A taxonomy of wireless micro-sensor network models
ACM SIGMOBILE Mobile Computing and Communications Review
A two-tier data dissemination model for large-scale wireless sensor networks
Proceedings of the 8th annual international conference on Mobile computing and networking
GHT: a geographic hash table for data-centric storage
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Power Efficient System for Sensor Networks
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
Multi-dimensional range queries in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
GPER: Geographic Power Efficient Routing in Sensor Networks
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
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
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Storage architecture in sensor networks is increasingly emphasized as an important characteristic, in addition to more traditional characteristics like routing protocols and data dissemination techniques In this paper, we evaluate several types of storage in order to determine performance correlations between storage types and query types We first classify the various types of query and storage architectures for sensor networks We then evaluate storage architecture performance based on types of query The evaluation metrics we use are the number of transmissions, energy, and end-to-end delay Data delivery types and routing schemes have to also be considered since they are strongly related to the storage architecture Based on the performance evaluations, we show what kind of storage is suitable for particular query characteristics.