A WSN Clustering Data Acquisition System for Mountainous Orchard Environmental Monitoring

Abstract:

Mountainous environment makes the wireless sensor network (WSN) data collection applications remain a challenging domain, as the detection region may present a three-dimensional structure and the radio propagation characteristics are still looking forward to further research. To better adapt to the ecological data acquisition needs in mountainous orchard, A WSN clustering data acquisition system is designed and implemented. It uses the received signal strength indicator (RSSI) to evaluate radio propagation performance and characterize the communication quality of the link. In the selection of the cluster heads and the next routing hops, this system takes RSSI, node’s residual energy and other influencing factors into account and use the multiple-attribute comprehensive evaluation model to weigh them comprehensively. Simulation results indicate that such a design can give objective and reasonable evaluations and judgments of the candidate nodes. Analyses verify the effectiveness and reasonability of the proposed model.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 2048-2052
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.2048
• Online since: August 2014
• Authors: Xiao Hua Li*, Yu Jie Wang, Ren Long Zhang, Juan Nie, Yang Li, Quan Yue Yang
• Keywords: Clustering, Data Acquisition, Multiple-Attribute Comprehensive Evaluation Model, Path Loss, Wireless Sensor Network (WSN)

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