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ABSTRACT
Sensor networks consist of a number of sensors spread across a geographical area. Each sensor has communication capability and some level of intelligence for signal processing and networking of data. Each sensor node in the network routinely 'senses' and stores data from its immediate environment. An important requirement of the sensor network is that the collected data be disseminated to the proper end users. In some cases, there are fairly strict requirements on this communication. For example, the detection of an intruder in a surveillance network should be immediately communicated to the police authorities. Each sensor node also has some storage capacity to store the collected data or to assemble the data prior to communicating it to another node.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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1
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S. Acedanski, S. Deb, M. Medard and R. Koetter, "How Good is Random Linear Coding Based Distributed Networked Storage," in Workshop on Network Coding, Theory and Applications, 2005.
|
| |
2
|
A. G. Dimakis, V. Prabhakaran and K. Ramchandran, "Ubiquitous Acess to Distributed Data in Large-Scale Sensor Networks through Decentralized Erasure Codes," in Symposium on Information Processing in Sensor Networks, 2005.
|
| |
3
|
R. Ahlswede, N. Cai, S. Y. R. Li and R. W. Yeung, "Network Information Flow," in IEEE Transactions on Information Theory, 2000, vol. 46, pp. 1004--1016.
|
| |
4
|
N. Cai, S. Y. R. Li and R. W. Yeung, "Linear Network Coding," in IEEE Transactions on Information Theory, 2003, vol. 49, pp. 371--381.
|
| |
5
|
|
| |
6
|
C. Gkantsidis and P. Rodriguez, "Network Coding for Large Scale Content Distribution," in Proceedings of INFOCOM, 2005.
|
| |
7
|
Lin and Costello, Error Control Coding: Fundamentals and Applications, 1983.
|
| |
8
|
M. Luby, M. Mitzenmacher, M. A. Shokrollahi and D. Spielman, "Efficient Erasure Correcting Codes," in IEEE Transactions on Information Theory, 2001, vol. 47, pp. 569--584.
|
| |
9
|
|
|