A5015903236- IoT Networks and Protocols
- Vehicular Ad Hoc Networks (VANETs)
- IoT and Edge/Fog Computing
- IoT-based Smart Home Systems
- IoT and GPS-based Vehicle Safety Systems
- Energy Harvesting in Wireless Networks
- Cognitive Radio Networks and Spectrum Sensing
- Traffic Prediction and Management Techniques
- Water Quality Monitoring Technologies
- Power Line Communications and Noise
- Wireless Communication Networks Research
Council for Scientific and Industrial Research
2017-2021
North-West University
2017-2019
Internet of Things (IoT) has revolutionized the traditional where only human-centric services were offered. It enabled objects to have ability connect and communicate through Internet. IoT several applications such as smart water management systems. However, they require high energy-efficient sensor nodes that are able across long distance. This motivates development many Low-Power Wide Area Networks (LPWAN) technologies, LoRa, fulfill these requirements. Therefore, in this paper, we survey...
A Wireless sensor-network is used in the industry to monitor critical parameters. However, its industrial usage harsh environments presents some challenges wireless communication signals such as noise, interference, etc. which contribute poor quality of service. This paper analysis WaterGrid-Sense, a full-stack node based on LoRa deployed smart water management system. It has interface platform and ability control real-time. To determine effectiveness for usage, we conducted experiments...
Drink-driving and over-speeding of vehicles are the major causes injuries deaths on road globally South Africa (SA) is not an exception.Different systems which currently used in detecting high alcohol concentration drivers' breath that exceeds stipulated speed limit effective, efficient poses health risks to traffic personnel.In attempt provide effective solutions these challenges, this paper proposed a smart transportation system for real-time detection drinkdriving roads using technology...
This paper proposes an effective approach for real-time monitoring and detection of drink-driving over-speeding on South Africa (SA) roads using technologies vehicular networks (VANET) Internet Things (IoT). is because have been known as the major causes injuries deaths globally SA not exception. As a viable solution, our proposed based measure to provide quick responses by traffic personnel aim at saving lives before actual accident occurs. To this end theoretical framework system was...
This paper overviews a designed Low-Cost Spectrum Monitoring (LCSM) node that is installed in universities around South Africa. LCSM an electronic device automatically monitors the frequency spectrum and then communicates results wirelessly to sensing enabled Geo Location Database. The equipped with Wi-Fi Access Point (AP), OpenVPN client, Application Programmable Interface (API) encapsulates data using JavaScript Object Notation (JSON) for being controlled remotely. nodes are designed,...