Mimo Properties to Improve Power Efficiency of Wireless Multimedia Sensor Network

Abstract

Wireless Multimedia Sensor Networks (WMSN) are designed to transmit audio and video streams, still images and scalar data. Multimedia transmission over wireless sensor network has many killer applications like video surveillance system, object tracking, telemedicine, theft control system and traffic monitoring. newlineAim: Researchers are facing many challenges such as higher data rate, lower energy consumption, reliability, signal detection and estimation, uncertainty in network topology, Quality of Service and security and privacy-related issues to accomplish various applications of WMSN. Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) along with compressive sensing properties are proposed for Wireless Multimedia Sensor Networks to improve system performance in terms of data rate and energy consumption. newlineMaterials and methods: This synopsis contains the design of WMSN using newline newlineMIMO-OFDM and compressive sensing techniques. Adaptive MIMO-OFDM newlinealgorithm for the MIMO-OFDM model and compressive sensing algorithm have been simulated. newlineResults and discussion: Results show that compressive sensing performs well on the image by taking very less measurements compare to Nyquist criteria and also reconstruct the information in a better way at the receiver side. newlineConclusions: Efficient wireless multimedia sensor network is designed using adaptive MIMO-OFDM and compressive sensing algorithm. In compressive sensing algorithm, quality of service (QoS) can be improved by taking more measurements and still it is less compare to Nyquist criteria. QoS depends on image size, the sparsity of the information and number of measurements. In MIMO-OFDM, higher order modulation techniques improve data rate but in worst channel condition it increases the error rate. There is a trade-off between data rate and error rate. An adaptive MIMO-OFDM is developed to balance data rate and error rate. Modulation scheme get selected automatically according to channel environment that helps to improve data rate with good QoS.