Design of environmental quality monitoring system based on self-powered wireless wensor network

In order to accurately real time monitor the environmental quality for the specific area, and solve the problem of interruption of traditional wireless sensor network because the battery is not durable and can not be updated in time, we design a wireless environment quality monitoring system with self-powered multi-sensor. In this system, the network node is powered by solar photovoltaic panels, and the maximum power point tracking control algorithm is optimized and improved. It solves the problem of abnormal work of sensor nodes caused by not charging the battery in time, and realizes the unattended real-time monitoring of the environmental quality. Besides, data fusion of the multi-node sensor is performed by using the data fusion algorithm. The experimental results demonstrate that the test data of our designed system agree well with the environmental quality data released.

[1]  Hassan Fathabadi,et al.  Novel fast dynamic MPPT (maximum power point tracking) technique with the capability of very high accurate power tracking , 2016 .

[2]  Chuanpei Xu,et al.  A Multi-Verse Optimizer with Levy Flights for Numerical Optimization and Its Application in Test Scheduling for Network-on-Chip , 2016, PloS one.

[3]  Jian Xu,et al.  无线传感器网络多应用场景下的安全数据融合方案 (Secure Data Aggregation Scheme for Multiple Applications in Wireless Sensor Networks) , 2017, 计算机科学.

[4]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[5]  Wang Chen,et al.  Environmental Monitoring System Based on 6LoWPAN Wireless Sensing Technology , 2016 .

[6]  Qian Huan-yan Study on an energy-efficiency system of wireless sensor networks , 2012 .

[7]  Aiguo Song,et al.  A Fault Check Graph Approach for Photonic Router in Network on Chip , 2018, 2018 IEEE 27th Asian Test Symposium (ATS).

[8]  王毅 Wang Yi,et al.  The ecology and environment monitoring technical systems in national large-scale coal-fired power base: a case study in Xilingol League,Inner Mongolia , 2014 .

[9]  Wei Zhang,et al.  A Low-power Low-cost Optical Router for Optical Networks-on-Chip in Multiprocessor Systems-on-Chip , 2009, 2009 IEEE Computer Society Annual Symposium on VLSI.

[10]  Cong Hu,et al.  Test scheduling with bandwidth division multiplexed for network-on-chip using refined quantum-inspired evolutionary algorithm , 2017, J. Comput. Methods Sci. Eng..

[11]  Jun Wu,et al.  Hybridizing grey wolf optimization with differential evolution for global optimization and test scheduling for 3D stacked SoC , 2015 .