Name
Title | ||
|---|---|---|
Cut graph based information storage and retrieval in 3D sensor networks with general topology |
Abstract | ||
|---|---|---|
We address the problem of in-network information processing, storage, and retrieval in three-dimensional (3D) sensor networks in this research. We propose a geographic location free double-ruling-based scheme for large-scale 3D sensor networks. The proposed approach does not require a 3D sensor network with a regular cube shape or uniform node distribution. Without the knowledge of the geographic location and the distance bound, a data query simply travels along a simple curve with the guaranteed success to retrieve aggregated data through time and space with one or different types across the network. Simulations and comparisons show the proposed approach with low cost and a balanced traffic load. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/INFCOM.2013.6566816 | INFOCOM |
Keywords | Field | DocType |
geographic location free double-ruling-based scheme,information storage,in-network information processing,data query,cut graph-based information storage,regular cube shape,uniform node distribution,information retrieval,three-dimensional sensor networks,balanced traffic load,graph theory,distributed sensors,query processing,large-scale 3d sensor networks,wireless sensor networks,topology,memory,routing,network topology,shape | Graph theory,Key distribution in wireless sensor networks,General topology,Computer science,Visual sensor network,Geometric networks,Computer network,Wireless sensor network,Geographic routing,Distributed computing,Cube | Conference |
ISSN | ISBN | Citations |
0743-166X | 978-1-4673-5944-3 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |