inis 19(19): e5

Research Article

Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks

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  • @ARTICLE{10.4108/eai.13-6-2019.159123,
        author={Minh T. Nguyen and Hien M. Nguyen and Antonino Masaracchia and Cuong V. Nguyen},
        title={Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={6},
        number={19},
        publisher={EAI},
        journal_a={INIS},
        year={2019},
        month={6},
        keywords={Wireless sensor networks, data collection, clustering, random walk, routing tree, power consumption},
        doi={10.4108/eai.13-6-2019.159123}
    }
    
  • Minh T. Nguyen
    Hien M. Nguyen
    Antonino Masaracchia
    Cuong V. Nguyen
    Year: 2019
    Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks
    INIS
    EAI
    DOI: 10.4108/eai.13-6-2019.159123
Minh T. Nguyen1,*, Hien M. Nguyen2, Antonino Masaracchia3, Cuong V. Nguyen4
  • 1: Thai Nguyen University of Technology, Vietnam
  • 2: Duy Tan University, Vietnam
  • 3: Queen’s University Belfast, UK
  • 4: University of Information and Communication Technology, Vietnam
*Contact email: nguyentuanminh@tnut.edu.vn

Abstract

Wireless sensor networks (WSNs) provide a lot of emerging applications. They suffer from some limitations such as energy constraints and cooperative demands essential to perform sensing or data routing. The networks could be exploited more effectively if they are well managed with power consumption since all sensors are randomly deployed in sensing areas needed to be observed without battery recharge or remote control. In this work, we proposed some stochastic-based methods to calculate total power consumption for such networks. We model common arbitrary networks with different types of sensing areas, circular and square shapes, then analyze and calculate the power consumption for data transmission based on statistic problems. Almost common data collection methods are employed such as cluster-based, tree-based, neighborhood based and random routing. In each method, the total power consumption is formulated and then simulated to be verified. This paper shows promise that all the formulas could be applied not only on WSNs but also mobile sensor networks (MSNs) while the mobile sensors are considered moving at random positions.