Experimental Application of Bluetooth Low Energy Connectionless in Smart Cities

Communication networks are a key element in the development of Smart Cities. This field is a constantly evolving environment, for which new protocols are constantly appearing. Due to the heterogeneous nature of the technologies, the most appropriate candidate must be selected in order to get the best performance to satisfy the application requirements. One of these protocols is Bluetooth Low Energy (BLE), particularly with the upgrades introduced in version 5.x. Its new features are focused on providing increased range, improving robustness, and expanding beaconing capabilities. Connectionless applications such as information broadcasting in Smart Cities could take advantage of this protocol. Furthermore, the wide availability on common devices (mobile phones, car infotainment, etc.), the deployment of these applications can be carried out easily and at low cost. This paper presents an experimental evaluation of the new robust, long-range radio mode of BLE over a set of Smart Cities scenarios, taking into account different conditions such as wireless interference, distances, dynamicity, etc. The results show a promising performance of the protocol even with these constraints.

Smart LIFI based Parking System

A major issue in public places like shopping malls, museums and hospitals is parking. Parking is the main service used by the people in these private units. The management of these public units invests more time and money in designing parking systems. Existing parking systems are equipped with appropriate sensors and controllers to count the parked cars automatically, but it does not indicate empty parking slots. These systems consume more power and tend to wireless interference. The proposed system, namely, Visible Light Communication based Smart Parking System introduces Visible Light Communication, a data communication technology using a low power Arduino Uno – Atmega328microcontroller to help drivers to get real-time parking information. Real-time information on free parking slots helps drivers to save time and reduce fuel consumption. Visible Light Communication (VLC) or Li Fi or Optical Wireless technology means the wireless data transfer using LED. Wireless interference is greatly reduced by using VLC. The proposed system is suitable for multiple floor buildings, which involves data gathering from parking side modules integrated in multiple floors of the building. Parking side modules continuously collects the data and intimates the module integrated in the vehicle section. The module in the vehicle section interfaces a GSM modem to send the detected information to the user mobile. The result of the proposed system is validated in an indoor environment. Keywords: LED, LI-FI, WI-FI

Wireless Interference Analysis for Home IoT Security Vulnerability Detection

The integrity of wireless networks that make up the clear majority of IoT networks lack the inherent security of their wired counterparts. With the growth of the internet of things (IoT) and its pervasive nature in the modern home environment, it has caused a spike in security concerns over how the network infrastructure handles, transmits, and stores data. New wireless attacks such as KeySniffer and other attacks of this type cannot be tracked by traditional solutions. Therefore, this study investigates if wireless spectrum frequency monitoring using interference analysis tools can aid in the monitoring of device signals within a home IoT network. This could be used enhance the security compliance guidelines set forth by OWASP and NIST for these network types and the devices associated. Active and passive network scanning tools are used to provide analysis of device vulnerability and as comparison for device discovery purposes. The work shows the advantages and disadvantages of this signal pattern testing technique compared to traditional network scanning methods. The authors demonstrate how RF spectrum analysis is an effective way of monitoring network traffic over the air waves but also possesses limitations in that knowledge is needed to decipher these patterns. This article demonstrates alternative methods of interference analysis detection.