Adaptive resource allocation and its scheduling for good tradeoff between power consumption and latency in OFDMA based wireless distributed computing system

In present days in an every communication, huge computational tasks are complete by wireless distributed computing (WDC) system. Extension of WDC system is OFDM based WDC system. OFDM based WDC system contains 3G or 4G technologies or standards(ex. LTE, WiMAX etc.).In this system, some of the major factors are power consumption and latency. These factors will produce critical issues, when wireless channel or wireless media effects by noise, scattering and interference conditions. In this paper, the main objectives are to produce good tradeoff between power consumption and latency and also produce good tradeoff between distributed computing power consumption (DCPR) and latency. I propose OFDMA based WDC system, to achieve the very less interference and to satisfy the above specified objectives. This paper uses an optimization algorithm, called the particle swarm optimization (PSO). This algorithm gives global optimum solution to above specified objectives. The performance of proposed system with an evolutionary algorithm is analyzed using computer simulation.