Coverage and Deployment Analysis of Narrowband Internet of Things in the Wild

Narrowband Internet of Things (NB-IoT) is gaining momentum as a promising technology for massive Machine Type Communication (mMTC). Given that its deployment is rapidly progressing worldwide, measurement campaigns and performance analyses are needed to better understand the system and move toward its enhancement. With this aim, this paper presents a large scale measurement campaign and empirical analysis of NB-IoT on operational networks, and discloses valuable insights in terms of deployment strategies and radio coverage performance. The reported results also serve as examples showing the potential usage of the collected dataset, which we make open-source along with a lightweight data visualization platform.Comment: Accepted for publication in IEEE Communications Magazine (Internet of Things and Sensor Networks Series

iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings

Providing personalized energy-use information to individual occupants enables the adoption of energy-aware behaviors in commercial buildings. However, the implementation of individualized feedback still remains challenging due to the difficulties in collecting personalized data, tracking personal behaviors, and delivering personalized tailored information to individual occupants. Nowadays, the Internet of Things (IoT) technologies are used in a variety of applications including real-time monitoring, control, and decision-making due to the flexibility of these technologies for fusing different data streams. In this paper, we propose a novel IoT-based smartphone energy assistant (iSEA) framework which prompts energy-aware behaviors in commercial buildings. iSEA tracks individual occupants through tracking their smartphones, uses a deep learning approach to identify their energy usage, and delivers personalized tailored feedback to impact their usage. iSEA particularly uses an energy-use efficiency index (EEI) to understand behaviors and categorize them into efficient and inefficient behaviors. The iSEA architecture includes four layers: physical, cloud, service, and communication. The results of implementing iSEA in a commercial building with ten occupants over a twelve-week duration demonstrate the validity of this approach in enhancing individualized energy-use behaviors. An average of 34% energy savings was measured by tracking occupants’ EEI by the end of the experimental period. In addition, the results demonstrate that commercial building occupants often ignore controlling over lighting systems at their departure events that leads to wasting energy during non-working hours. By utilizing the existing IoT devices in commercial buildings, iSEA significantly contributes to support research efforts into sensing and enhancing energy-aware behaviors at minimal costs

OCC Future and Obstacles under 5g Requirements

Telecommunications specifications of the fifth-generation (5 G) are being established to satisfy the rising demands of high-speed broadband networks (i.e., a few tens of Gigabits every second). The 5 G standard derives primarily from a rising number of subscribers and a multitude of various apps, commonly referred to as smart devices, communicating as part of Internet-of-Things (IoT) network For 5 G, a few possible developments such as millimeter waves, large multiple-input multiple-output, and small cell connectivity have appeared. While such technologies will meet 5 G specifications, attention is being given to a complementary potential wireless optical wireless communication (OWC) system. Clear light contact (VLC) as part of OWC. Among the most desirable solutions for 5 G networks and beyond are optical camera communications (OCCs). As part of future smart cities, VLC with huge frequency spectrum integrated with IoT that opens up a broad range of indoor and outdoor applications. This paper gives a description of the VLC-centric all-optical IoT and Potential implementations and issues centered on OCC under 5 G Requirement