An energy-efficient architecture for internet of things systems

Floriano De Rango; Domenico Barletta; Alessandro Imbrogno

doi:10.1117/12.2228861

13 May 2016 An energy-efficient architecture for internet of things systems

Floriano De Rango, Domenico Barletta, Alessandro Imbrogno

Proceedings Volume 9837, Unmanned Systems Technology XVIII; 98370S (2016) https://doi.org/10.1117/12.2228861
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

In this paper some of the motivations for energy-efficient communications in wireless systems are described by highlighting emerging trends and identifying some challenges that need to be addressed to enable novel, scalable and energy-efficient communications. So an architecture for Internet of Things systems is presented, the purpose of which is to minimize energy consumption by communication devices, protocols, networks, end-user systems and data centers. Some electrical devices have been designed with multiple communication interfaces, such as RF or WiFi, using open source technology; they have been analyzed under different working conditions. Some devices are programmed to communicate directly with a web server, others to communicate only with a special device that acts as a bridge between some devices and the web server. Communication parameters and device status have been changed dynamically according to different scenarios in order to have the most benefits in terms of energy cost and battery lifetime. So the way devices communicate with the web server or between each other and the way they try to obtain the information they need to be always up to date change dynamically in order to guarantee always the lowest energy consumption, a long lasting battery lifetime, the fastest responses and feedbacks and the best quality of service and communication for end users and inner devices of the system.

Citation Download Citation

Floriano De Rango, Domenico Barletta, and Alessandro Imbrogno "An energy-efficient architecture for internet of things systems", Proc. SPIE 9837, Unmanned Systems Technology XVIII, 98370S (13 May 2016); https://doi.org/10.1117/12.2228861

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