Sweta Bhattacharya1, Praveen Kumar Reddy Maddikunta1, Iyapparaja Meenakshisundaram1, Thippa Reddy Gadekallu1, Sparsh Sharma2, Mohammed Alkahtani3, Mustufa Haider Abidi4,*
CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2599-2615, 2021, DOI:10.32604/cmc.2021.016229
- 21 July 2021
Abstract The Internet of Things (IoT) and related applications have witnessed enormous growth since its inception. The diversity of connecting devices and relevant applications have enabled the use of IoT devices in every domain. Although the applicability of these applications are predominant, battery life remains to be a major challenge for IoT devices, wherein unreliability and shortened life would make an IoT application completely useless. In this work, an optimized deep neural networks based model is used to predict the battery life of the IoT systems. The present study uses the Chicago Park Beach dataset collected More >
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