Abstract
Wireless communication multimedia applications are increasing day by day in traffic, security, agriculture and health care service sectors. Multimedia communication itself involves a complex process that consumes more power at transmitter and receiver. Our research evolves start to end layer design margin to reduce power consumption and increase multimedia data quality. In this we propose the MIMO-OFDM system with a hybrid fuzzy GWO technique to minimize consumed power. Cross-layer margins are optimized by Grey Wolf Optimizer with a fuzzy algorithm that analysed compression and communication techniques for wireless communication. This cross-layer design provides power reduction and energy-efficient multimedia data transmission in the MIMO-OFDM system. We use a fuzzy approach for the fast processing speed of GWO
Highlights
Multimedia transmission requirement has increased from the last decade using the wireless network for health, security and entertainment sector
Ericsson Mobility Report states that the number of users in wireless networks has grown tremendously over the last few years, networks have become increasingly spectral and energy efficient because of low power circuit designing and technologies like multi in multi out (MIMO)-orthogonal frequency division multiplexing (OFDM), Beamforming, heterogeneous cell structure even with 40% higher energy consumption
Ge et al proposed an energy efficient algorithm for MIMO-OFDM system as energy efficiency optimization algorithm (EEOPA)which shows that requirement of high-quality multimedia transmission needs more power
Summary
Multimedia transmission requirement has increased from the last decade using the wireless network for health, security and entertainment sector. Wireless communication channel works with OSI model for data transmission. OSI layer model has a sufficient margin which can be overcome by choosing a cross-layer (Application+ MAC + Physical) design for better spectrum and energy utilization. WLAN is low-cost management to transmit multimedia data for applications as video conferencing, remote teaching and surveillance. These applications need loss tolerance, high bandwidth and delay-sensitive for its quality [1]. Cross-layer optimization provides an efficient and effective quality of service which is required for multimedia communications. We applied a cross-layer design for energy efficiency optimization that gives the transmitter to receiver end fine line solution of multimedia data transmission wirelessly with fuzzy logic. A novel algorithm is proposed using Gray wolf optimization technique with fuzzy
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