Papers by Saida Driouache
Fuzzy Logic Based Intelligent Vertical Handover Decision in Heterogeneous Networks
Lecture notes in networks and systems, Jul 19, 2020
In heterogeneous networks, mobile terminals require to be always best connected, and handover dec... more In heterogeneous networks, mobile terminals require to be always best connected, and handover decision approaches are relevant to attain efficient mobility solutions for mobile users. However, accomplishing seamless vertical handover is complicated. This paper proposes a fuzzy logic-based vertical handover decision making to address this problem. The paper uses network simulator ns-3 along with the fuzzylite library to conduct the required performance evaluation and support the development of real-time scenarios. For the considered set up, the proposed approach is faster than rank average by 97%, prevents ping pong handovers, and enhances the overall performance.
Mixed Method: An Aggregated Method for Handover Decision in Heterogeneous Wireless Networks
Lecture Notes in Computer Science, Oct 20, 2017
The next generation of wireless networks is marked by a variety of access networks. A mobile user... more The next generation of wireless networks is marked by a variety of access networks. A mobile user desires to run a service seamlessly regardless of his access network. This makes the continuity of service during handover and QoS relevant issues to deal with. In this context, Media Independent Handover (MIH) standard was developed to facilitate the interworking between IEEE and non-IEEE Access technologies. This paper suggests an aggregated method for the best access network selection. This method combines Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and VIse Kriterijumska Optimizacija kompromisno Resenja (VIKOR) decision algorithms together with Shannon entropy to assign handover criteria weights. Entropy is an adequate tool to weigh up the handover criteria. Compared with TOPSIS and VIKOR, mixed method performs better in terms of handovers number, packet loss rate, end to end delay, and throughput. Simulations are realized within the scope of MIH using NS3 simulator.
ECTI Transactions on Computer and Information Technology, Nov 9, 2021
In emerging heterogeneous networks, seamless vertical handover is a critical issue. There must be... more In emerging heterogeneous networks, seamless vertical handover is a critical issue. There must be a trade-o between the handover decision delay and accuracy. This paper's concern is to contribute to reliable vertical handover decision making that makes a trade-o between complexity and eectiveness. So, the paper proposes a neuro-fuzzy architecture that combines the capacity of learning of the articial neural networks with the power of linguistic interpretation of the fuzzy logic. The architecture can learn from experience how executing a handover to a particular access network aects the quality of service. Vertical Handover Intelligent Control (VHIC) provides not only exibility for initial deployment but also the adaptive capability to optimize the vertical handover with minimal human interference. Simulation results reveal that VHIC is fast, reliable, and enhances the throughput. Also, It decreases the end-to-end delay from near 3.5ms to 0.1ms, the jitter to almost 0µs, and the packet loss to 0%.
Mixed Method: An Aggregated Method for Handover Decision in Heterogeneous Wireless Networks
The next generation of wireless networks is marked by a variety of access networks. A mobile user... more The next generation of wireless networks is marked by a variety of access networks. A mobile user desires to run a service seamlessly regardless of his access network. This makes the continuity of service during handover and QoS relevant issues to deal with. In this context, Media Independent Handover (MIH) standard was developed to facilitate the interworking between IEEE and non-IEEE Access technologies. This paper suggests an aggregated method for the best access network selection. This method combines Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and VIse Kriterijumska Optimizacija kompromisno Resenja (VIKOR) decision algorithms together with Shannon entropy to assign handover criteria weights. Entropy is an adequate tool to weigh up the handover criteria. Compared with TOPSIS and VIKOR, mixed method performs better in terms of handovers number, packet loss rate, end to end delay, and throughput. Simulations are realized within the scope of MIH using NS...
ICST Transactions on Mobile Communications and Applications, Jan 10, 2018
Vertical handover mechanism is an important issue in heterogeneous wireless networks. Continuity ... more Vertical handover mechanism is an important issue in heterogeneous wireless networks. Continuity of service during handover and QoS are relevant issues to deal with. This paper focuses on vertical handover decision making. It proposes a Rank Average method for the best access network selection. This method is an aggregation of two Multi Attributes Decision Making (MADM) methods: Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and VIse Kriterijumska Optimizacija kompromisno Resenja (VIKOR), together with Shannon entropy-based weights. Entropy is an adequate tool to weigh up the handover criteria in a quiet easy and straightforward way. Rank Average outperforms TOPSIS and VIKOR in terms of throughput, end to end delay, packet loss, and significantly reduces the number of unnecessary handovers related to the ping-pong effects. Performance results are obtained within the scope of MIH through NS3 simulator.
ECTI Transactions on Computer and Information Technology (ECTI-CIT)
In emerging heterogeneous networks, seamless vertical handover is a critical issue. There must be... more In emerging heterogeneous networks, seamless vertical handover is a critical issue. There must be a trade-off between the handover decision delay and accuracy. This paper’s concern is to contribute to reliable vertical handover decision making that makes a trade-off between complexity and effectiveness. So, the paper proposes a neuro-fuzzy architecture that joints the capacity of learning of the artificial neural networks with the power of linguistic interpretation of the fuzzy logic. The architecture can learn from experience how executing a handover to a particular access network affects the quality of service. Simulation results reveal that this architecture is fast, enhances the overall performance and reliability better than the fuzzy logic-based approach.
Fuzzy Logic Based Intelligent Vertical Handover Decision in Heterogeneous Networks
Artificial Intelligence and Industrial Applications
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Papers by Saida Driouache