Heba Allah Gamal Helmy

Dr. Heba Allah Gamal Helmy

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 December 2024 in Sensors
Verified
Journal Article
Open access
PDF file
MEMostafa Eltokhy
Mostafa Eltokhy
Ali El-RifaieAli El-Rifaie
Ali El-Rifaie
HHHeba Allah Gamal Helmy
Heba Allah Gamal Helmy
AHAyman Haggag
Ayman Haggag
HAHisham Ali
Hisham Ali
AAAshraf Aboshosha
Ashraf Aboshosha
In today’s digital age, there is an increasing demand for integrated wireless and wired technologies; however, there is a difficulty in achieving secure and reliable communications within buildings and facilities. This paper presents a proposal for maintaining the infrastructure while expanding it to implement communication technologies with high transmission and reception speeds and high levels of data confidentiality to enhance the operational efficiency of organizations. Three main technologies have emerged as promising solutions for this purpose: Wi-Fi, Li-Fi, and BPL. Despite the advantages that each technology offers, some drawbacks appear in these technologies that affect data transmission. Wi-Fi, Li-Fi, and BPL can be combined to achieve maximum security and reduce noise and interference via the ESP8266 module. This combination could be an important step toward achieving an integrated and secure indoor communication system. The paper provides a comprehensive overview of the three techniques and how they are applied in practice. In addition, OSE, ABPF, and ASBF filters are used to detect and eliminate interference and attack secure internal networks.

29 September 2025 in Technologies
Verified
Journal Article
Open access
PDF file
HHHeba Allah Gamal Helmy
Heba Allah Gamal Helmy
Ali El-RifaieAli El-Rifaie
Ali El-Rifaie
AYAhmed A.F. Youssef
Ahmed A.F. Youssef
AHAyman Haggag
Ayman Haggag
HHHisham Hamad
Hisham Hamad
MEMostafa Eltokhy
Mostafa Eltokhy
Wireless sensor networks (WSNs) are an advanced solution for data collection in Internet of Things (IoT) applications and remote and harsh environments. These networks rely on a collection of distributed sensors equipped with wireless communication capabilities to collect low-cost and small-scale data. WSNs face numerous challenges, including network congestion, slow speeds, high energy consumption, and a short network lifetime due to their need for a constant and stable power supply. Therefore, improving the energy efficiency of sensor nodes through solar energy harvesting (SEH) would be the best option for charging batteries to avoid excessive energy consumption and battery replacement. In this context, modern wireless communication technologies, such as Wi-Fi and Li-Fi, emerge as promising solutions. Wi-Fi provides internet connectivity via radio frequencies (RF), making it suitable for use in open environments. Li-Fi, on the other hand, relies on data transmission via light, offering higher speeds and better energy efficiency, making it ideal for indoor applications requiring fast and reliable data transmission. This paper aims to integrate Wi-Fi and Li-Fi technologies into the SEH-WSN architecture to improve performance and efficiency when used in all applications. To achieve reliable, efficient, and high-speed bidirectional communication for multiple devices, the paper utilizes a Markov model, sleep scheduling, and smart switching algorithms to reduce power consumption, increase signal-to-noise ratio (SNR) and throughput, and reduce bit error rate (BER) and latency by controlling the technology and power supply used appropriately for the mode, sleep, and active states of nodes.

4 September 2022
Verified
Book Chapter
Closed access
PDF file
HHHeba Allah Gamal Helmy
Heba Allah Gamal Helmy
Hassan MostafaHassan Mostafa
Hassan Mostafa
AHAyman Haggag
Ayman Haggag