Probabilistic Transmitting-based Data Aggregation Scheme for Wireless Sensor Networks

DOI

10.2991/icsem.2013.205How to use a DOI?

Keywords

sensor network, data aggregation, probabilistic transmitting

Abstract

For reducing the communication overhead of data aggregation, authors proposed a probabilistic transmitting-based data aggregation scheme for wireless sensor network. Due to limited number of nodes in the cluster and aggregation error is unavoidable; nodes adopt the probabilistic transmitting to lower the communication overhead with tolerable error. In order to prevent the influence of big noise, Dixon criterion was adopted to eliminate the gross error in the small sample. Experiment shows the proposed scheme reduces the inner-cluster transmissions and lowers the communication overhead effectively with tolerable error. The aggregation error of probabilistic transmitting and all nodes transmitting are at the same level and both are acceptable for wireless sensor networks.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianghong Guo
AU  - Yudong Luo
PY  - 2013/04
DA  - 2013/04
TI  - Probabilistic Transmitting-based Data Aggregation Scheme for Wireless Sensor Networks
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 976
EP  - 979
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.205
DO  - 10.2991/icsem.2013.205
ID  - Guo2013/04
ER  -