Abstract
In the next generation wireless communication paradigm, the number of devices are expected to increase exponentially after the concept of Internet of Things (IoT). These devices are power constrained, with limited processing capability. Therefore, in order to get the maximum advantage from these low power IoT sensing devices, it is of utmost need to empower them. Similarly, the devices are not able to process the computationally intensive applications. In this work, Wireless Power Mobile Edge Cloud (WPMEC) is considered, which is an integration of Wireless Power Transfer (WPT) and Mobile Edge Cloud (MEC) to address low power devices' battery and computational capabilities. The WPMEC is charging the devices in the first phase using the WPT and in the second phase, the devices are offloading their computational intensive data to the MEC. Partial offloading scheme is first time introduced and analyzed with WPMEC. Performance of proposed solution is evaluated in terms of overall network computational energy efficiency. Extensive simulations have been carried out to validate the proposed solution. It is shown that the proposed partial offloading scheme with WPMEC outperforms the binary and local computational schemes.
Highlights
The demands for data rates and Quality of Services (QoS) is exponentially increasing with the rapid evolution of information technology devices, such as smart phones, tablets and laptops
The proposed solution is validated through extensive simulations carried out in Matlab
Channel between Access Point (AP) and mobile devices is assumed to block fading, means channel between AP and mobile devices remain constant in entire duration of time T
Summary
The demands for data rates and Quality of Services (QoS) is exponentially increasing with the rapid evolution of information technology devices, such as smart phones, tablets and laptops. While new mobile devices are more and more powerful in terms of computing capabilities, they are still not able to handle applications that need real-time processing such as wearable Virtual Reality (VR), self driving vehicular systems, mobile health care, mobile governance and etc [1]. The recent development of Internet of Things (IoT) technology is a key step towards smart and autonomous control in industrial and business processes, such as smart grids and smart home automation. The devices (e.g. sensors) often are equipped with a limited battery and a low performance processor because of the small size and to reduce the production costs [2]. Devices with limited computing capabilities are unable to accommodate and process applications requiring scalable and high-performance computations. For the development of modern IoT technology, it is of utmost requirement to address the
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