Title :
Directed diffusion for wireless sensor networking
Author :
Intanagonwiwat, Chalermek ; Govindan, Ramesh ; Estrin, Deborah ; Heidemann, John ; Silva, Fabio
Author_Institution :
Univ. of Southern California, Los Angeles, CA, USA
fDate :
2/1/2003 12:00:00 AM
Abstract :
Advances in processor, memory, and radio technology enable small and cheap nodes capable of sensing, communication, and computation. Networks of such nodes can coordinate to perform distributed sensing of environmental phenomena. We explore the directed diffusion paradigm for such coordination. Directed diffusion is data-centric in that all communication is for named data. All nodes in a directed-diffusion-based network are application aware. This enables diffusion to achieve energy savings by selecting empirically good paths and by caching and processing data in-network (e.g., data aggregation). We explore and evaluate the use of directed diffusion for a simple remote-surveillance sensor network analytically and experimentally. Our evaluation indicates that directed diffusion can achieve significant energy savings and can outperform idealized traditional schemes (e.g., omniscient multicast) under the investigated scenarios.
Keywords :
distributed sensors; radio networks; remote sensing; sensor fusion; surveillance; telecommunication network routing; data aggregation; data-centric routing; directed diffusion; distributed sensing; in-network processing; omniscient multicast; remote-surveillance; wireless sensor networking; Computer science; Humans; Large-scale systems; Random access memory; Robustness; Routing; Sensor phenomena and characterization; Vehicle detection; Wireless communication; Wireless sensor networks;
Journal_Title :
Networking, IEEE/ACM Transactions on
DOI :
10.1109/TNET.2002.808417