Data-centric storage in sensornets with GHT, a geographic hash table
Mobile Networks and Applications
An evaluation of multi-resolution storage for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Coping with irregular spatio-temporal sampling in sensor networks
ACM SIGCOMM Computer Communication Review
A wireless sensor network For structural monitoring
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
An analysis of a large scale habitat monitoring application
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
TSAR: a two tier sensor storage architecture using interval skip graphs
Proceedings of the 3rd international conference on Embedded networked sensor systems
Ultra-low power data storage for sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
In-Network Storage Model for Data Persistence under Congestion in Wireless Sensor Network
CISIS '07 Proceedings of the First International Conference on Complex, Intelligent and Software Intensive Systems
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In a large-scale storage-centric wireless sensor network (SWSN) where data from different clusters are archived at distributed storage nodes, the dispatching design problem is to determine one or multiple storage nodes for each cluster. To achieve high data fidelity in SWSNs, the dispatching design should aim to reduce the data loss due to the network congestion and, at the same time, to prolong the network lifetime by avoiding sending excessive traffic to some particular storage nodes in order to achieve energy consumption balance among the relaying sensors around the storage node. In this paper, we propose an h-peak dispatching design for SWSN. Under such a design, regular traffic volume from each cluster will receive guaranteed data fidelity, and over-expectation traffic will receive best-effort data fidelity. We use an h-peak model to characterize the traffic deviation which assumes that at most h clusters may have over-expectation traffic simultaneously at a storage node. By incorporating h into the dispatching decision rather than assuming that all clusters may reach their traffic spikes simultaneously, the proposed h-peak dispatching design can achieve high data fidelity in SWSNs.