The proliferation of smart devices such as, smart phones, traffic light, medical devices and those in the smart home generate a large amount of data. This data is send to the cloud for the purpose of storage, processing and etc. because these devices have not enough memory or limited processing capabilities, but the transmission of data to the cloud has become an undesirable process and the reason is the consumption of more energy, the cost of uploading data , delay as well as the need for the Internet, recently appeared the term of fog , which means there are a nodes located near to the end-user devices and it may be smart phones, computers , routers or etc. and the purpose is to reduce the time of transmission and reception, reduce the energy consumption and cost of uploading data. In our paper we proposed a new architecture, it called Multi-Level Fog Computing (MLF-MCS), where there are two types of nodes, the first type is the sensor nodes , the second type is the Fog nodes , where the Fog nodes contains different information, so each Fog node can processing different data from other Fog to prevent the exit of data to the Internet and then to the cloud to control on the most important problems which are energy consumption, delay and the cost of uploading data , reducing energy consumption and delay happen because that the sensor nodes have a very few hopes to reach to the fog compared to the cloud, either the cost is reduced by keeping the data within the local network and not go out to the Internet. The algorithm was written for the proposed work and applied in Cup Carbon simulator, also we give equations for energy consumption and time delay, where show to be effective in efficient power, delay time and data uploading cost, compared to previous articles in the same subject.
Volume 11 | Issue 5