directed_diffusion

directed_diffusion - Directed Diffusion: A Scalable and...

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Unformatted text preview: Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks Chalermek Intanagonwiwat USC/Information Sciences Institute intanago@isi.edu Ramesh Govindan USC/Information Sciences Institute govindan@isi.edu Deborah Estrin USC/Information Sciences Institute and University of California, Los Angeles destrin@cs.ucla.edu ABSTRACT Advances in processor, memory and radio technology will enable small and cheap nodes capable of sensing, communi- cation and computation. Networks of such nodes can coor- dinate to perform distributed sensing of environmental phe- nomena. In this paper, 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 pro- cessing data in-network. We explore and evaluate the use of directed diffusion for a simple remote-surveillance sensor network. 1. INTRODUCTION In the near future, advances in processor, memory and ra- dio technology will enable small and cheap nodes capable of wireless communication and significant computation. The addition of sensing capability to such devices will make dis- tributed microsensingan activity in which a collection of nodes coordinate to achieve a larger sensing taskpossible. Such technology can revolutionize information gathering and processing in many situations. Large scale, dynamically changing, and robust sensor networks can be deployed in in- hospitable physical environments such as remote geographic regions or toxic urban locations. They will also enable low maintenance sensing in more benign, but less accessible, en- vironments: large industrial plants, aircraft interiors etc. To motivate our research, consider this simplified model of how such a sensor network will work (we refine this model in This work was supported by the Defense Advanced Re- search Projects Agency under grant DABT63-99-1-0011. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Defense Advanced Research Projects Agency. Section 2). One or more human operators pose, to any node in the network, questions of the form: How many pedestri- ans do you observe in the geographical region X?, or Tell me in what direction that vehicle in region Y is moving. These queries result in sensors within the specified region be- ing tasked to start collecting information (Section 2). Once individual nodes detect pedestrians or vehicle movements, they might collaborate with neighboring nodes to disam- biguate pedestrian location or vehicle movement direction....
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directed_diffusion - Directed Diffusion: A Scalable and...

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