Dense Network for Storage
John D. Kubiatowicz and Jan M. Rabaey
Gigascale Systems Research Center
With advances in technology and hardware integration, sensor nodes are shrinking in size while at the same time attaining higher computational and storage capacity. Further, advances in communication technology has made it possible to build a dense network with potentially millions of nodes while minimizing communication power. In this work, we study the feasibility of a storage architecture in such a dense network. We looked at issues ranging from data durability, routing scalability, and availability of data under churn. This work borrows heavily from existing work on distributed hash-table at Internet-scale and scalable routing protocols from sensor network domains.