cogcom 15(3): e2

Research Article

A Life Extend Approach Based on Priority Queue N Strategy for Wireless Sensor Network

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  • @ARTICLE{10.4108/eai.19-8-2015.2260111,
        author={Jyun-Fan Ke and Wen-Ju Chen and Der-Chen Huang},
        title={A Life Extend Approach Based on Priority Queue N Strategy for Wireless Sensor Network},
        journal={EAI Endorsed Transactions on Cognitive Communications},
        volume={1},
        number={3},
        publisher={EAI},
        journal_a={COGCOM},
        year={2015},
        month={9},
        keywords={wsn, ehp, queuing theory, preemptive priority queue, ubiquitous sensor networks},
        doi={10.4108/eai.19-8-2015.2260111}
    }
    
  • Jyun-Fan Ke
    Wen-Ju Chen
    Der-Chen Huang
    Year: 2015
    A Life Extend Approach Based on Priority Queue N Strategy for Wireless Sensor Network
    COGCOM
    EAI
    DOI: 10.4108/eai.19-8-2015.2260111
Jyun-Fan Ke1, Wen-Ju Chen1, Der-Chen Huang1,*
  • 1: National Chung Hsing University
*Contact email: huangdc@nchu.edu.tw

Abstract

In this paper, we proposed a method on the tradeoff between packet transmission speed and battery life in wireless sensor networks (WSN). The data obtained by sensor nodes comprised various types of information with various levels of importance. A misjudgment of the priority of packets according to the importance of data may delay the transmission of important information. The energy consumed by sensor nodes varies according to system states. Therefore, this research used queuing theory and the birth-death process to build a mathematical model capable of quantifying various energy consumption parameters. MATLAB was used to calculate the distribution of system state probability for sensor nodes with two queues. Packet delay equation was then applied to obtain the expected values of delay time for packets of various priorities. We adjust various system parameters and observe how these changes influenced system state probability. Finally, we use different N values to obtain the minimal value of system energy consumption. Obtaining this value helps to overcome the energy hole problem (EHP), which in turn extends the lifespan of the overall WSN. Prioritizing packets can ensure the transmission of important data within a shorter time span. Experimental results show the energy consumption is reduced and important data can be transmitted with less packet delay time.