Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (2): 70-74.doi: 10.16180/j.cnki.issn1007-7820.2019.02.015

Previous Articles     Next Articles

An Online Scheduling Scheme for Random Event Capture in Asynchronous Sensor Networks

YU Zhixiang1,CHENG Zongmao1,XU Xianghua2   

  1. 1. School of Sciences, Hangzhou Dianzi University, Hangzhou 310018, China
    2. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China
  • Received:2018-01-26 Online:2019-02-15 Published:2019-01-02
  • Supported by:
    National Natural Science Foundation of China(61370087);Zhejiang Provincial Science and Technology Program(2017C01065);Zhejiang Provincial Science and Technology Program(2017C01022)


Aiming at off-line problem of sensor node sleeping scheduling based on event random property in existing asynchronous sensor networks, Bayesian estimations were given for the distributed parameters of random variables describing random property of random events. The relationship among the instantaneous capture probability, the energy efficiency of the sensor capture event, and the Bayesian estimates was discussed to obtain the relationship between sensor's sleeping scheduling and Bayesian estimation of distributed parameters. Based on the above analysis, the real time adjustment scheduling schemes were obtained for the sensor node sleep. Finally, the study conducted the online scheduling and offline scheduling simulation experiments. Experimental results showed that compared with the offline scheduling scheme, online scheduling scheme had better adaptability.

Key words: random event, distribution parameters, bayesian estimation, off line periodic scheduling scheme, on line adjustable periodic scheduling schemes

CLC Number: 

  • TP393