Performance Improvement of Wireless Multimedia Sensor Networks Using MIMO and Compressive Sensing  

作　　者：Arjav Bavarva Preetida Vinayakray Jani Komal Ghetiya 

机构地区：[1]Department of Electronics and Communication,School of Engineering,RK University,Rajkot 360020,India [2]Department of Electronics and Telecommunication,Sardar Patel Institute of Technology,Mumbai 400058,India

出　　处：《Journal of Communications and Information Networks》2018年第1期84-90,共7页通信与信息网络学报（英文）

摘　　要：Wireless Multimedia Sensor Networks(WMSN)are designed to transmit audio and video streams,still images,and scalar data.Multimedia transmission over wireless sensor networks has many applications,such as video surveillance,object tracking,telemedicine,theft control systems,and traffic monitoring.Researchers face many challenges,such as higher data rates,lower energy consumption,reliability,signal detection and estimation,uncertainty in network topology,quality of service(QoS),and security-and privacy-related issues to accomplish various applications of WMSN.This paper presents multiple input multiple output(MIMO)along with compressive sensing(CS)properties to improve system performance in terms of energy consumption and QoS in deep fade environments.The CS theory model has been proposed to reduce energy consumption by taking fewer measurements of the original signal or information and reconstructing it with acceptable image quality at the receiver side.The transmission and processing energy can be reduced by transmitting fewer measurements from the sensor side itself.The MIMO model and CS algorithm have been simulated,and results show that CS performs well on images.

关 键 词：MIMO wireless multimedia sensor networks compressive sensing energy-efficient WMSN 

分 类 号：TN9[电子电信—信息与通信工程]