دانلود رایگان مقاله انگلیسی اینترنت اشیاء: پژوهش، شبیه سازی و آزمایشگاه - IEEE 2018

Abstract

The Internet of Things (IoT) vision is increasingly being realized to facilitate convenient and efficient human living. To conduct effective IoT research using the most appropriate tools and techniques, we discuss recent research trends in the IoT area along with current challenges faced by the IoT research community. Several existing and emerging IoT research areas such as lightweight energy-efficient protocol development, object cognition and intelligence, as well as the critical need for robust security and privacy mechanisms will continue to be significant fields of research for IoT. IoT research can be a challenging process spanning both virtual and physical domains through the use of simulators and testbeds to develop and validate the initial proof-of-concepts and subsequent prototypes. To support researchers in planning IoT research activities, we present a comparative analysis of existing simulation tools categorized based on the scope of coverage of the IoT architecture layers. We compare existing large-scale IoT testbeds that have been adopted by researchers for examining the physical IoT prototypes. Finally, we discuss several open challenges of current IoT simulators and testbeds that need to be addressed by the IoT research community to conduct large-scale, robust and effective IoT simulation, and prototype evaluations.

CONCLUSION AND FUTURE DIRECTIONS

This work demonstrates that the IoT paradigm has been the subject of intense research focus over the last five years. Based on the continued growth in the number of studies published through major venues, we foresee that this trend will continue. IoT research trends reported in this work reveal that researchers are increasingly working towards improving existing IoT protocols to enable cognition and intelligence in devices, and the development of activity, process and policy-aware IoT ecosystems of the future. Many concepts such as software development, mobile computing, Artificial Intelligence, and others from related disciplines are increasingly being leveraged by the IoT research community. Our analysis provides tangible results that can be utilized, leveraged and exploited by IoT product manufacturers, industries and service providers directly or indirectly to accelerate the creation of a smart environment for the benefit of society. However, given the fact that the IoT paradigm itself is the result of convergence of multiple pre-existing technological paradigms namely, wireless sensor networks, the Internet, and cloud computing, the path to conducting full-cycle IoT research is not always clear. Research in this area is especially challenging due to the need to examine both virtual and physical realms as well as highly distinct technological constructs and their interactions.