No abstract

Intelligent transportation systems (ITSs) have become popular in recent years as an essential requirement for safer and more efficient transportation systems. Internet of Electric vehicles (IoEV) as well as their hybrid forms provide an ideal means of supporting sustainability within an ITS. The control of charging/discharging of EV is still a challenge, despite the tremendous research progress to date in the field. In this paper, the use of charging station data and binary vectorization are proposed in order to provide timely insights on the dynamic behavior of charging processes. A Bag-of-Power-States model has been created for similarity measurement of charging stations within given time periods. The results of experimentations using synthetic data have shown that the proposed Bag-of-Power-States model is computationally feasible and provides useful results for optimizing the scheduling of power supply to charging stations that may be located across a wide range of distances, over the same period of time.

No abstract

No abstract

The Internet of Things (IoT) has already begun to drastically alter the way people operate in various industries across the world, as well as how we interact with our environment. There is a lot of progress being made toward achieving the envisioned goals of IoT, however there are still numerous challenges to be addressed. Bluetooth low energy (BLE) and its beacons protocol have pushed forward innovations in the field of microlocation, which is a key area of IoT. The emergence of fog computing architecture has also lead to reduced dependence on cloud architecture by shifting resources towards users and local applications. Together these two innovations provide ideal conditions for adoption of IoT in emerging economies, which are known to be both financially and technically constrained. In this paper we provide an overview of the key innovations that are suitable for adoption in emerging economies based on BLE and fog computing. We further present three reference models for indoor navigation systems which can help further the research work in the application of BLE and fog computing.