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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hasan Cam |
| Copyright Year | 2006 |
| Description | Author affiliation: Computer Science and Engineering Department, Arizona State University, Tempe, AZ 85287. hasan.cam@asu.edu (Hasan Cam) |
| Abstract | In wireless sensor networks, the data collected by neighboring sensor nodes show high correlation. To exploit the data correlation for reducing the amount of data while transmitting data from sensor nodes to their base station, this paper introduces multiple-input turbo (MIT) code to implement a joint source coding and data aggregation. If there exists an explicit communication between two sensor nodes, their correlated data bits are first interleaved with each other in accordance with their correlation relation, and then are encoded and punctured. On the other hand, if there is no direct communication between sensor nodes, the data sequences are encoded with respect to side information based on the distributed source coding principles. Whenever the bit error rate needs to be improved, MIT code is used for channel coding as well. MIT code employs partial interleaving to reduce energy consumption and memory size requirements for even small-size information blocks. The simulation results show that the bit error rate performance of MIT code outperforms turbo codes to some extent, even if MIT code implements partial interleaving on interleavers. |
| Starting Page | 3530 |
| Ending Page | 3535 |
| File Size | 130910 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424403553 |
| ISSN | 81649547 |
| DOI | 10.1109/ICC.2006.255619 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-11 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Turbo codes Channel coding Wireless sensor networks Sensor phenomena and characterization Source coding Bit error rate Interleaved codes Energy consumption Energy efficiency Decoding partial interleaver Sensor networks source and channel coding data aggregation turbo code correlated data |
| Content Type | Text |
| Resource Type | Article |
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