GHT: a geographic hash table for data-centric storage
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Data-centric storage in sensornets
ACM SIGCOMM Computer Communication Review
Multi-dimensional range queries in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
PMAC: An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 12 - Volume 13
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
Processing Precision-Constrained Approximate Queries in Wireless Sensor Networks
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Effective hotspot storage management schemes in wireless sensor networks
Computer Communications
An asynchronous MAC protocol for wireless sensor networks
Journal of Network and Computer Applications
Q-NiGHT: Adding QoS to Data Centric Storage in Non-Uniform Sensor Networks
MDM '07 Proceedings of the 2007 International Conference on Mobile Data Management
A grid-based dynamic load balancing approach for data-centric storage in wireless sensor networks
Computers and Electrical Engineering
Similarity-aware query processing in sensor networks
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Journal of Network and Computer Applications
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In wireless sensor network (WSN), sensors are small, inexpensive, and computable. However, they are limited in power, memory, and computational capacities. A large number of tiny sensors are usually deployed randomly to monitor one or more phenomena to collect and process the sensed data, and to send the data back to the sink. Many literatures focus on developing power-saving protocols. In addition, many papers present data storage schemes but they do not take power saving into consideration. Hence, these data storage schemes cannot perform well based on power-saving protocols. Therefore, it is very critical to propose a data storage scheme to support power-saving mechanism. In this paper, we propose a power-saving data storage scheme for WSN. Our scheme adopts grid-based architecture, in which each grid guarantees that two sensors will stay in active mode while the others stay in sleep mode to save energy. Simulation results show that our power-saving data storage scheme can reduce energy consumption.