Efficient Data Aggregation with Tolerable Bias for WSNs

Abstract:

To improving the efficiency of data aggregation in wireless sensor networks (WSNs), , authors proposed an efficient data aggregation scheme for WSNs with tolerable measurement bias. Due to sensors located in the same relative small area have similar readings, it is unnecessary for all nodes in this area transmit their values to the aggregator. Comparison with all nodes send their data to the base station, part of sensors keep silent to the servers request will has little impact on the final aggregation result and reducing the energy consumption effectively. Experiment shows the proposed scheme lowers the energy consumption effectively with tolerable bias.

• Periodical: Applied Mechanics and Materials (Volumes 475-476)
• Pages: 419-422
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.475-476.419
• Online since: December 2013
• Authors: Jiang Hong Guo, Hao Xia Huang
• Keywords: Data Aggregation, Sensor Network, Tolerant Bias

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