Co-design patterns for embedded network management
Proceedings of the 2009 workshop on Re-architecting the internet
Migration policies for location-centric data storage in mobile ad-hoc networks
MSN'07 Proceedings of the 3rd international conference on Mobile ad-hoc and sensor networks
Compacting SQL queries for saving resources in mobile ad hoc and sensor networks
International Journal of Intelligent Information and Database Systems
Detecting proximity events in sensor networks
Information Systems
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Data Centric Storage (DCS) is a powerful storage paradigm for wireless ad hoc networks. In mobile ad hoc networks (MANETs), however, the mobility and varying density of nodes may significantly impact the efficiency of data access and the level of data consistency for existing DCS mechanisms. In this paper, we propose an efficient resilience mechanism for data centric storage that supports DCS in mobile environments. We introduce a novel indirection strategy that enables us to distinguish the storage of data at dedicated server nodes from the storage of additional information to locate these servers. Our approach places server location information dynamically in strategic parts of the network based on its current topology. Combining our server location advertisement with any geographic routing protocol, we provide a robust data update and query processing technique for data centric storage in MANETs. We show analytically and by means of experimental evaluations that, despite the additional indirection during packet forwarding, our approach provides superior storage and retrieval performance than the original DCS algorithm even for large amounts of dynamic data.