Article Per Year (5 Year)
p-Index From 2021 - 2026
1.048
P-Index
This Author published in this journals
All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) Indonesian Journal of Electrical Engineering and Computer Science
Shankar Karuppayah
Universiti Sains Malaysia
Economics, Econometrics & Finance

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Proposed enhanced link failure rerouting mechanism for software-defined exchange point Abdijalil Abdullahi; Selvakumar Manickam; Shankar Karuppayah; Mahmood A. Al-Shareeda
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 1: July 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i1.pp259-270

Abstract

Internet eXchange point (IXP) is a way to optimize network bandwidth. It enables a platform in the different providers like internet service providers (ISPs) and content delivery providers (CDNs) to share their traffic through a common point. A software defined exchange point (SDX) is an IXP comprising of a programmable deployed software defined network (SDN) switching fabric to enhance the management of their services, but they met the performance issues. The previous studies proposed various mechanisms and frameworks that tackled with these issues, but they don’t overcome overall challenges like link failure recovery for multi-hop-based SDX particularly packet processing delay and switch memory overhead. To cope with these issues, this paper proposed an enhanced link failure rerouting (ELFR) mechanism for multi-hop-based SDX. The objective of the proposed ELFR mechanism is to reduce the delay of packet processing to recover the link failure quickly and improve the path computation while ensuring the switch storage overhead. The present paper is an effort to retrospect and analyze the critical review of existing work for SDX. Furthermore, this paper provides a background of SDX, its components and its applications. Finally, this paper presents and compares the expected results of ELFR mechanism and related work.
Bluetooth low energy for internet of things: review, challenges, and open issues Mahmood A. Al-Shareeda; Murtaja Ali Saare; Selvakumar Manickam; Shankar Karuppayah
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp1182-1189

Abstract

As a result of its ultra-low power consumption, simple development, sufficient network coverage, and rapid data transfer speed, Bluetooth low energy (BLE) has emerged as the standard communication standard for internet of things (IoT) nodes. Therefore, in this review paper introduces the concept of Bluetooth low energy for the internet of things (BLE-IoT) in terms of Bluetooth classic, Bluetooth version, applications for BLE-IoT, and new features of BLE-IoT. We then provide a taxonomy of literature reviews based on the parameter adjustment approach (e.g., advertiser side schemes, scanner side schemes, hybrid schemes) and collision avoidance approach (e.g., advertiser side schemes and scanner side schemes). Finally, we discuss research challenges and future opportunities for BLE-IoT.
Validation of the toolkit for fake news awareness in social media Mahmood A. Al-Shareeda; Murtaja Ali Saare; Selvakumar Manickam; Shankar Karuppayah
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp1171-1181

Abstract

Fake news has gained attention in recent years, particularly among social media users. The quick spread of fake news has been made possible by the increased usage of social media as a platform to get the most recent news and information. As a consequence, it is getting harder to distinguish between real news and fake news. This essay will outline a study that evaluated the usefulness of a toolset for identifying false news. The first hypothesis is that an increase in media literacy will result in a rise in awareness of fake news. The second theory is that fake news toolkits significantly increase students’ and working adults’ awareness of false news. On the staff of a manufacturing company and an institution, a survey was undertaken. The organization’s employees were given approximately 150 questionnaires, and 110 responses were received. The project includes the creation of a web application-a false news awareness toolkit-that will raise user awareness of fake news in terms of knowledge, behaviour, and attitude among students and workers.
Wireless sensor networks in the internet of things: review, techniques, challenges, and future directions Fu Zijie; Mahmood A. Al-Shareeda; Murtaja Ali Saare; Selvakumar Manickam; Shankar Karuppayah
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp1190-1200

Abstract

Wireless sensor networks (WSN) are an emerging multidisciplinary intersection of cutting-edge research fields, and their advantages in terms of freedom of formation, high signal-to-noise ratio, high strength, and unattended, which makes WSN have good prospects for application in the field of internet of things (IoT). Considering all the benefits that WSN offer, this paper reviews the development history of wireless sensor networks internet of things (WSN-IoT), analyses the technologies used by sensors in the IoT, and illustrates the future developing patterns and remaining challenges, in conjunction with the main technologies in the perception layer of the current network of things industry.
Heterogeneous internet of things device interoperability using fog-based adaptive semantic mechanism Devamekalai Nagasundaram; Selvakumar Manickam; Mahmood A. Al-Shareeda; Huda Mohammed Alsayednoor; Ali A. Yassin; Shankar Karuppayah
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 15, No 3: November 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v15.i3.pp819-836

Abstract

With the rapid growth of heterogeneous internet of things (IoT) ecosystems, insufficient semantic interoperability caused by non-uniform communication protocols, data formats, and semantic representations has become a core challenge in the field. Existing cloud-based, static ontology schemes have defects including high latency, large overhead, and poor adaptability. This paper proposes the dynamic semantic fog (DSF) framework, which performs semantic processing at the fog layer to achieve real-time interoperability. The framework integrates four core modules: workload offloading, resource description framework (RDF) generation, semantic representation, and adaptive ontology expansion. It supports dynamic access to newly added IoT devices. Tests were completed using iFogSim in a smart city traffic scenario. Compared with traditional cloud solutions, the framework reduces latency, energy consumption, and network usage rate by 51.7%, 41.3%, and 55.6% respectively, and can support dynamic semantic interoperability for heterogeneous IoT environments.
A review of intelligent task scheduling models for fog computing in large-scale internet of things networks Sababathy Palanisamy; Erum Ashraf; Selvakumar Manickam; Huda Mohammed Alsayednoor; Mahmood A. Al-Shareeda; Shankar Karuppayah
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 15, No 3: November 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v15.i3.pp777-795

Abstract

The rapid growth of internet of things (IoT) applications has generated an urgent demand for efficient task scheduling mechanisms that feature low latency, scalability, and resource awareness. While fog computing can meet this demand by extending computing and storage resources to the vicinity of data sources, it still confronts four core challenges: resource heterogeneity, dynamic workloads, mobility, and security constraints. To address these issues, this study conducts a systematic review of intelligent task scheduling for fog-enabled IoT systems. It classifies the included eligible studies into five scheduling paradigms, and innovatively proposes a cross-domain framework that integrates three types of awareness, including priority awareness. The subsequent work of this study will sort out the core strengths and limitations of existing relevant methods. Finally, open challenges and emerging research directions, including edge artificial intelligence (AI), federated learning, blockchain-assisted scheduling, and hardware-accelerated implementations are discussed. The findings provide useful guidance for developing scalable, secure, and adaptive scheduling frameworks for next-generation fog-enabled IoT systems.
Co-Authors Abdijalil Abdullahi Ali A. Yassin Devamekalai Nagasundaram Erum Ashraf Fu Zijie Huda Mohammed Alsayednoor Mahmood A. Al-Shareeda Mahmood A. Al-Shareeda Murtaja Ali Saare Sababathy Palanisamy Selvakumar Manickam