Poster: Smart Object-Oriented Dynamic Energy Management for Base Stations in Smart Cities

Abstract

In smart object networks, traffic loads vary spatially and temporally, so base stations (BSes) are usually deployed redundantly. Previous research has focused on powering on/off BSes based on traffic loads to save energy. However, BSes are not the smallest units that can be powered off. Nowadays, they are usually configured with multiple carriers that can be switched off separately, and a significant amount of energy can be consumed by carriers, so switching off carriers when a base station cannot be powered off entirely is a considerable method to save energy. Thus, we propose Squeezer, an optimized approach which can dynamically switch on/off BSes and carriers based on smart object motion prediction. We first divide BSes covered areas, in the shape of sectors, to overlap areas which can better determine the location of smart objects. Then, we developed a smart object behavior prediction method based on the overlap areas to dynamically arrange smart objects in order to reduce the possibility of powering on/off BSes repetitively. Finally, according to the prediction result, an optimized solution is provided to switch off as many BSes and carriers as possible.