Dynamic data-centric storage for long-term storage in wireless sensor and actor networks

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.The research leading to these results has been partially funded by the Spanish MEC under the CRAMNET project (TEC2012 38362 C03 01) and eeCONTENT Project (TEC2011 29688 C02 02), by the General Directorate of Universities and Research of the Regional Government of Madrid under the ME DIANET Project (S2009/TIC 1468), and by the the INDECT project (Ref 218086) of the 7th EU Framework Programme. In addition, the work of G. de Veciana was supported by the National Science Foundation under Award CNS 0915928.Publicad