Improve the channel performance of Wireless Multimedia Sensor Network using MIMO properties

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. 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 related issues to accomplish various applications of WMSN. Multiple Node Multiple Input Multiple Output (MN-MIMO) properties have been used to improve system performance in terms of data rate, energy consumption and channel capacity. In this paper, mathematical model is presented to calculate and analyze various parameters of the network like, SNR, channel capacity and data rate. Simulation results demonstrate the effect of various channel models on output in deep fading environment and proposed channel model performs better for WMSN compare to non-adaptive system in terms of Bit Error Rate.