Energy Efficient Localization Model in Mobile Cloud Computing Used for IoT

Computer resources and systems over the network. It is one of the modern technologies that provide many resources, services and computing to users of mobile devices. For instance, backup, data storage, and self-synchronization, with some problems that users may face, such as frequent disconnection and the large use of energy in storage and mobility nodes. Mobile cloud computing can address these problems by implementing some mobile applications capable of providing computing as a services. In this paper. The model proposes ofmobile node connection with the close base station that expands the performance and conveyance of data packets for faster decision making. this model has an efficiency when the calculations on the base station are better than on the mobile phone. Whereby, large amounts of information are processed based on cloud services, i.e., programs that can provide computing as a service. Wireless sensor networks are embedded with mobile cloud computing and residual energy for BS of the proposed system improved by 5%.