Low power offloading strategy for femto-cloud mobile network

Nowadays offloading is a popular method of mobile cloud computing where the required computation takes place remotely inside the cloud. But whether to process an application inside the mobile device or to the cloud is a challenging issue because communication with the cloud involves latency and power consumption. This paper has proposed a method of decision making regarding whether to offload or not-to-offload an application to the cloud. According to the proposed strategy, application is offloaded only if it results in lower power consumption than local execution within the mobile device itself. If this condition is satisfied, computation time and deadline of the job are considered as the basic parameters to decide whether to offload or not. Experimental results demonstrate that the proposed offloading algorithm reduces the power consumption to approximately 3–32%. To achieve power-efficiency and security both, femto-cloud architecture is used in the proposed work. In this case offloading from the mobile device to the cloud takes place through the low power and secure femtocell base station. Simulation results present that using femto-cloud architecture 70–83% and 52–66% power savings are achieved than using macrocell and microcell base stations respectively while offloading an application to the cloud.