Dynamic Duty-Cycle Control for Wireless Sensor Networks using Artificial Neural Network(ANN)

摘要：

　　Efficient management of duty-cycle in Wireless Sensor Networks(WSN)results in considerable performance improvement of MAC protocols by catering to the issues of overhearing and idle listening.The researchers interest has recently shifted to adaptive control of duty-cycle which offers an opportunity to conserve energy of WSN in highly dynamic environments,without external intervention.Machine learning techniques such as Artificial Neural Network(ANN)have been deployed for embedding artificial decision making capabilities in WSN.This paper integrated ANN with WSN to achieve dynamic duty-cycle control in WSN,at the receiver end.ANN is used to predict the data arrivals instants at which the receiver should wake up.The scheme has been implemented in MATLAB and the results revealed significant improvement in terms of delay and energy as compared to if the fixed wakeup and sleep intervals are used.

关键词： dynamic duty-cycle artificial neural network

作者: Anwar Ahmed Khan Mohammad Shoaib Jamal Shama Siddiqui

作者单位: Faculty of Computer Science Institute of Business Administration,IBA Karachi,Pakistan

会议类型: 国际会议

会议名称: 第九届网络分布式计算与知识发现国际会议( 2017 International Conference on Cyber-enabled distributed computing and knowledge discovery)

会议地点: 南京

会议语种:英文

页码: 420-424

在线出版日期: 2017-10-12（万方平台首次上网日期，不代表论文的发表时间）