A scalable location service for geographic ad hoc routing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th 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
Data Dissemination with Ring-Based Index for Wireless Sensor Networks
ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
Multi-dimensional range queries in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Zone sharing: a hot-spots decomposition scheme for data-centric storage in sensor networks
DMSN '05 Proceedings of the 2nd international workshop on Data management for sensor networks
FAR: Face-aware routing for mobicast in large-scale sensor networks
ACM Transactions on Sensor Networks (TOSN)
Processing Precision-Constrained Approximate Queries in Wireless Sensor Networks
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Similarity-aware query processing in sensor networks
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
IEEE Communications Magazine
A power-saving data storage scheme for wireless sensor networks
Journal of Network and Computer Applications
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A wireless sensor network is composed of a few sink nodes and a large number of sensor nodes that are densely deployed in a sensing environment. One critical problem in sensor networks is how to make the effective use of the vast amount of data by providing sensor and sink nodes with efficient data storing and retrieving, respectively. Several data-centric storage techniques had been proposed to exploit data storing and retrieving, but all of them failed to effectively deal with hotspot storage due to irregular sensor deployments or data distribution. In this paper, we propose effective hotspot storage management schemes to solve the hotspot storage problem. Our schemes include the cover-up and multi-threshold mechanisms. The cover-up mechanism can adjust to another storage node dynamically when a storage node is full, while the multi-threshold mechanism can spread the data into several storage nodes for load balancing of the sensor nodes. Simulations have shown that our hotspot storage management schemes can reduce the energy consumption, increase the quality of data, and avoid the hotspot storage in the presence of a vast number of data in wireless sensor networks.