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
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Resilient Data-Centric Storage in Wireless Ad-Hoc Sensor Networks
MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
Data-centric storage in sensornets
ACM SIGCOMM Computer Communication Review
Fundamental scaling laws for energy-efficient storage and querying in wireless sensor networks
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Decentralized erasure codes for distributed networked storage
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
A Wireless Sensor System for Long-Term Microclimate Monitoring in Wildland Cultural Heritage Sites
ISPA '08 Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications
A wireless sensor network for precision viticulture: The NAV system
Computers and Electronics in Agriculture
A grid-based dynamic load balancing approach for data-centric storage in wireless sensor networks
Computers and Electrical Engineering
Dynamic random replication for data centric storage
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
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Data-Centric Storage (DCS) appears as a novel information storage and delivery mechanism for Wireless Sensor and Actor Networks in which a rendezvous node (home node) is selected to store and serve all the information of a particular application. However, DCS was not designed to provide long-term data availability. In this paper we present a Dynamic DCS solution to enable a long-term storage system. Dynamic DCS proposes to periodically change home nodes over the time based on periods of fixed duration called epochs. This makes it possible to perform temporal queries to previous home nodes in order to retrieve information from the past. We evaluate our proposal using extensive simulations, and reveal that Dynamic DCS makes sensor events available at least 85 % of the maximum lifetime provided by an optimal (but non practical) solution. Finally, we show that Dynamic DCS could easily adapt its storage performance to the requirements of an application by just tuning the epoch duration.