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Currently, the booming popularity and growth of mobile devices in urban cities leads to the surge of various computation-intensive mobile applications, such as virtual reality and online video, which are strict with the computing capability and battery life of the mobile devices. To address this issue, smart edge computing in Wireless Metropolitan Area Networks (WMAN) is proposed to enable mobile users to offload computation-intensive tasks to the edge computing nodes which deploys computing resources nearby the mobile devices. However, the normal operation of edge computing nodes consumes plenty of energy. Thus, it is still a challenge to be aware of energy consumption while the computing tasks are migrated to the Edge Computing Nodes (ECNs). In view of this challenge, an Energy-Aware Computation Offloading method, named EACO, is designed to reduce the energy consumption. Technically, we …