Probabilistic Transmitting-Based Data Aggregation Scheme for Wireless Sensor Networks

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.

• Periodical: Applied Mechanics and Materials (Volumes 341-342)
• Pages: 1187-1190
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.341-342.1187
• Online since: July 2013
• Authors: Jiang Hong Guo, Yu Dong Luo
• Keywords: Data Aggregation, Probabilistic Transmitting, Sensor Network

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