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
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
J-Sim: A Simulation Environment for Wireless Sensor Networks
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
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
Progressive computation of the min-dist optimal-location query
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
KDDCS: a load-balanced in-network data-centric storage scheme for sensor networks
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Optimization on Data Object Compression and Replication in Wireless Multimedia Sensor Networks
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
PEJA: progressive energy-efficient join processing for sensor networks
Journal of Computer Science and Technology
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Data-centric storage is an effective and important technique in the wireless sensor networks. It stores the sensing data according to their values by mapping them to some point in the network in order to avoid routing all the values outside the network and flooding the queries. However, in most data-centric storage schemes, there is a "hotspot" problem due to the skewness of data and randomness of the mapping functions. Large number of sensor readings (events) may be routed to the same point by the predefined hashed function. In this paper, we propose a new Dynamic BAlanced data-centric Storage (DBAS) scheme, a cooperative strategy between the base station and the in-network processing in wireless sensor network. Our scheme, which utilizes the rich resources in the base station and is aware of the data distributions of the network, dynamically adjusts the mappings from readings to the storage points to balance the storage and workload in the network, as well as to reduce the cost of storing these readings. Moreover, it takes advantage of perimeter routing algorithm of the GPSR routing protocol to store multiple copies of readings to improve the robustness of the network with little overhead. Simulation results show that DBAS is more balanced and energy efficient than the traditional data-centric storage mechanism in wireless sensor network.