Energy-efficient capture of stochastic events based on on-line scheduling scheme

EURASIP Journal on Wireless Communications and Networking

Hao Tan¹  Zongmao Cheng¹  Xiao Fu² 

[1] School of Sciences, Hangzhou Dianzi University, 310018, Hangzhou, China;Zhejiang Informatization Development Institute, Hangzhou Dianzi University, 310018, Hangzhou, China;

关键词: Synchronous wireless sensor networks;    Stochastic events;    Bayesian statistical method;    On-line scheduling scheme;   

DOI  :  10.1186/s13638-020-01828-9

来源: Springer

【 摘 要 】

We improve the off-line scheduling scheme of existing wireless sensor network. Firstly, we introduce Bayesian statistical method in synchronous wireless sensor network. Then, we let duration and interval, the reflection of characteristics of stochastic events, obey exponential distribution. Next, we make Bayes posterior estimation on parameter. Based on Bayesian estimate, we obtain the analytical solution of the capture probability of stochastic events and sensor energy efficiency of capture events. Finally, we propose an on-line scheduling scheme for synchronous wireless sensor networks. This paper compares and analyzes the simulation experiments in on-line scheduling scheme and off-line scheduling scheme, and the results show that compared with off-line scheduling scheme with constant distribution parameter values, on-line scheduling scheme can effectively reduce the probability of missing stochastic events and increase the probability of capturing events, further save energy consumption of wireless sensor network, and extend network lifetime.

【 授权许可】

CC BY