مشخصات پژوهش

عنوان	Smart Energy Harvesting for Internet of Things
نوع پژوهش	مقاله ارائه شده کنفرانسی
کلیدواژه‌ها	Smart sensor network, internet of things, energy harvesting, power station, network lifetime, mobile sensors.
چکیده	Abstract | In this paper, we study the performance of smart networks in terms of energy efficiency (EE) based on the internet of things (IoT) technology. Energy Harvesting (EH) from surroundings is a promising solution for compensating the limitation of batteries lifetime. Fuzzy Q-Learning algorithm has been proposed to determine the sensor movement strategy toward the dedicated power stations (PSs) as energy charger nodes for mobile sensors in order to improve network lifetime via acceleration of the battery charging process of mobile sensors. Simulation results for evaluation of the proposed strategy in term of normalized network lifetime compared to the random sensor motions, confirm the effectiveness of this approach as a practical smart EH for IoT networks.
پژوهشگران	فرزاد حسین پناهی (نفر اول)، فریدون حسین پناهی (نفر دوم)، تومواکی اوتسوکی (نفر پنجم)، سوگل مشیروزیری (نفر سوم)، یاسین محمدی (نفر چهارم)