Energy Aware Deployment Method in Heterogeneous Farmland WSN

Authors

  • Huaji Zhu Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agri-culture and Forestry Sciences; National Engineering Research Center for Information Technology in Agriculture; Key Laboratory of Agri-informatics, Ministry of Agriculture
  • Yisheng Miao Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agri-culture and Forestry Sciences; National Engineering Research Center for Information Technology in Agriculture; Key Laboratory of Agri-informatics, Ministry of Agriculture
  • Huarui Wu Beijing Research Center for Information Technology in Agriculture; National Engineering Research Center for Information Technology in Agriculture; Key Laboratory of Agri-informatics, Ministry of Agriculture

DOI:

https://doi.org/10.3991/ijoe.v14i05.8646

Keywords:

wireless sensor network, energy heterogeneity, renewable energy, node deploy-ment, energy aware deployment

Abstract


Farmland environment has influence on the signal propagation of wireless sensor network (WSN). The network coverage and connectivity performances largely depend on the deployment method. In order to prolong the network lifespan, renewable energy was introduced to a part of the network nodes due to the cost issue. An improved energy aware deployment method is proposed in this paper. The aim of the paper is to maximize the network lifespan,lower the network cots, increase the energy utilizationrenewable energy nodes and balance the residual energy of the battery-power nodes. An energy consumption model was established in the consideration of deployment constraints over network coverage, connectivity, and stability. An improved particle swarm optimization (PSO) algorithm was designed to optimize the performance of the network model. A penalty function was included to resolve the problem which contain both continuous and discrete variables.The number of renewable nodes with the best cost-lifespan ratio was concluded. The simulation results demonstrate that the propose method increases the renewable energy utilization when the renewable energy source is good. Also the network keeps stable when the renewable energy source is off. The overall energy consumption of battery nodes were reduced and balanced. Therefore, the proposed deploy method prolong the network lifespan.

Author Biographies

Huaji Zhu, Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agri-culture and Forestry Sciences; National Engineering Research Center for Information Technology in Agriculture; Key Laboratory of Agri-informatics, Ministry of Agriculture

Huaji Zhu is an associate research fellow in National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China. His current research interests include agricultural wireless sensor networks,agricultural informatization and visualization of agricultural spatial data

Yisheng Miao, Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agri-culture and Forestry Sciences; National Engineering Research Center for Information Technology in Agriculture; Key Laboratory of Agri-informatics, Ministry of Agriculture

Yisheng Miao is an assistant research fellow at National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China. He is mainly engaged in wireless sensor networks and intelligent systems in agriculture.

Huarui Wu, Beijing Research Center for Information Technology in Agriculture; National Engineering Research Center for Information Technology in Agriculture; Key Laboratory of Agri-informatics, Ministry of Agriculture

Huarui Wu is a research fellow at National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China. He is mainly focused on artificial intelligence and Internet of things applications in agriculture.

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Published

2018-05-25

How to Cite

Zhu, H., Miao, Y., & Wu, H. (2018). Energy Aware Deployment Method in Heterogeneous Farmland WSN. International Journal of Online and Biomedical Engineering (iJOE), 14(05), pp. 143–158. https://doi.org/10.3991/ijoe.v14i05.8646

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Section

Papers