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All Journal Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Electrical Engineering and Computer Science
Ammar Dawood Jasim
Al-Nahrain University
Electrical & Electronics Engineering

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Evaluation of Firewall and Load balance in Fat-Tree Topology Based on Floodlight Controller Sarah Hashim Mohammed; Ammar Dawood Jasim
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1157-1164

Abstract

Today it has become important to reconfigure the networks in to new form to be more manageable, scalable, dynamic and programmable. The networks recently are so inflexible and failing to deal with the required changes for the Information Technology. Software Defined Networking (SDN) is a modern paradigm that focused to change the main idea of current network infrastructure (traditional network) by breaking the chain between the data forwarding and the control planes to introduce flexible programmability network. This paper makes comparison between the performance of traditional fat-tree network and SDN fat-tree network, which found that average Round Tripe Time (RTT) in SDN fat-tree topology will decrease by 8.96% than traditional fat-tree topology. Then shows the basic operation of OpenFlow protocol that can be applied on fat-tree topology by using SDN technology and how that can be effect on the performance of network and make it more flexible to enable the SDN module applications, like load balancer and firewall for optimizing the SDN network. In this paper the physical switches are replaced by software switches in a virtual network environment and display the SDN structure in GUI, also Floodlight controller is chosen to use as the network operating system for SDN network.
Big Data Acquisition in Wireless Sensor Networks Using an AI-Based Interval Type-2 Fuzzy Unequal Clustering and Selective Multi-Hop Routing Framework Ammar Dawood Jasim; Tareq Abed Mohammed; Mas Al-Qutbi
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 4 (2026): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i4.16952

Abstract

Wireless Sensor Networks (WSNs) constitute a critical data-acquisition layer for large-scale sensing and big-data analytics; however, limited battery capacity, uneven energy dissipation, hotspot formation, and excessive clustering overhead can interrupt continuous data collection and reduce network lifetime. This paper proposes an Interval Type-2 Fuzzy Unequal Clustering with Selective Multi-Hop and Adaptive Re-clustering protocol (IT2F-UC-SMH-AR) for reliable and energy-efficient WSN data acquisition. The framework combines interval Type-2 fuzzy-based cluster-head selection, unequal cluster formation, load-aware node association, selective relay-based forwarding, and energy-dependent re-clustering. By preserving sensing-node availability, balancing forwarding loads, and sustaining data delivery to the base station, the proposed protocol strengthens the upstream data pipeline required for subsequent storage, processing, and big-data analytics. Its performance is evaluated through MATLAB simulations under three deployment scenarios and compared with Low-Energy Adaptive Clustering Hierarchy (LEACH), Cluster Head Election using Fuzzy logic (CHEF), and Gupta fuzzy logic-based scheme (Gupta-FL). The results demonstrate that IT2F-UC-SMH-AR delays early node failure, improves cluster-head stability and energy balance, and maintains competitive packet delivery under different network sizes and communication distances. Its advantages become particularly evident in scenarios with increased routing complexity, where unequal clustering and selective multi-hop transmission reduce long-range communication costs. Although LEACH achieves higher throughput in some compact or dense deployments, the proposed protocol provides a more favorable trade-off between network stability, energy preservation, and reliable data acquisition. These findings establish IT2F-UC-SMH-AR as a promising framework for energy-constrained WSN applications supporting continuous, large-scale data collection.
Co-Authors Mas Al-Qutbi Sarah Hashim Mohammed Tareq Abed Mohammed