Telfor Journal Vol.17 No.1 (2025)

Content

A. Zeković

Topic:: IoT
Abstract: This paper presents a survey of Internet of Things (IoT) applications using the Raspberry Pi (RPi) Single Board Computer (SBC) alongside Computer Vision (CV) techniques from the field of Artificial Intelligence (AI). It presents and compares solutions across several IoT application areas, offering an overview of the associated hardware, software, CV methods, and algorithms. The study explores IoT applications in the following areas: Smart Healthcare, Face and emotion recognition, Wildlife, Smart Agriculture, Smart Homes, Security, Smart Cities, Autonomous Vehicles, Robotics, Manufacturing, and Retail. Each area is analyzed with respect to the integration of RPi and CV, showcasing their contributions to enhancing operational efficiency and enabling innovative solutions. The presented solutions use different RPi boards, from RPi 3A+ up to the latest RPi 5.
Keywords: Computer Vision (CV), Edge AI, Embedded AI, Internet of Things (IoT), Raspberry Pi (RPi), smart systems.
Full Text: Hardware and Software of Computer Vision IoT Solutions Leveraging Raspberry Pi Boards
Page(s): 2-7
Doi: 10.5937/telfor2501002Z

I. A. Shah, M. Ahmed, and I. Mubarik

Topic:: Telecommunications Networks
Abstract: This work evaluates FK−meansRA against a broader set of LEACH variants, including LEACH-C, MOD-LEACH, LEACH-B, MULTIHOP-LEACH, and I-LEACH, with a focus on metrics such as average residual energy, number of alive nodes, and throughput. The paper focuses on comparative performance benchmarking across these popular LEACH variants, providing a rigorous validation of FK-meansRA efficiency. In this paper, we extend our prior study on the performance of the proposed algorithm, FK-meansRA, against famous protocols, such as LEACH, etc. Comparative analysis with LEACH variants ensures a fair, relevant, and focused performance assessment of clustering hierarchical protocols in contrast to chain-based or flat routing protocols like PEGASIS or HEED. The simulation results demonstrate that the fuzzy logic-based model outperforms these protocols in terms of network stability and resource utilization. FK-meansRA has nearly 450 nodes alive after the end of 1250 rounds, 200% energy more left than multihop LEACH, and a 13.6% throughput improvement over multihop LEACH.
Keywords: Wireless Sensor Networks, Fuzzy Logic, LEACH, Cluster Head Selection.
Full Text: Performance Evaluation of FK−meansRA with LEACH Variants in WSNs
Page(s): 8-13
Doi: 10.5937/telfor2501008S