Fuzzy-TOPSIS Based Optimal Handover Decision-making Algorithm for Fifth-generation of Mobile Communications System

Liu, Qianyu; Kwong, Chiew Foong; Zhang, Sibo; Li, Lincan

doi:10.12720/jcm.14.10.945-950

Cited by 15 publications

(6 citation statements)

References 19 publications

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“…e handover decision based in [23], a multicriteria approach is introduced based on the Euclidean distance for decisionmaking that checks for all possible ideal solutions. In these approaches, the fuzzy logic was used to calculate the metric values for handover decision making, further, the TOPSIS [24] method ranked the cell weight. However, due to the complexity of the hybrid approach, the delay increases, leading to a higher link failure.…”

Section: Introductionmentioning

confidence: 99%

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

Haider

Gilani

Jamal

et al. 2022

Security and Communication Networks

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The real-time monitoring and autonomous decision making through unmanned aerial vehicles (UAVs) are the potential applications of future networks. Vertical handover in future networks is a mechanism to switch communication between different network access technologies like Wireless Local Area Network (WLAN), Worldwide Interoperability for Wireless Microwave Access (WiMAX), Third-Generation (3G), Fourth-Generation (4G), and Fifth-Generation (5G) mobile technologies. These technologies have significant importance in providing fast, reliable, and timely communication. However, during a vertical handover, an inadequate delay and packet loss can cause considerable disruption in maintaining communication sessions and results in intolerable end-to-end delay, disconnectivity, and poor packet delivery ratio. The proposed work addresses the vertical handover method in UAVs communication by designing a relay-based vertical handover technique. The relay UAVs is an assistant node, requiring an organized and intelligent deployment that assists in vertical handover and communication by minimizing the average packet loss and average delay from source to destination. Moreover, a multicriteria handover parameter triggering is used for seamless and more extended network coverage. Extensive simulations using S-shaped and U-shaped trajectories are designed and simulated for relay-based vertical handover performance evaluation. The results obtained show that our proposed relay-based handover method offers seamless connectivity and high-performance experienced during the vertical handover process. The extensive comparison with state-of-the-art techniques proves that the proposed method is better in terms of 18% handover success rate, 21% end-to-end delay, and 29% packet loss.

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Section: Introductionmentioning

confidence: 99%

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

Haider

Gilani

Jamal

et al. 2022

Security and Communication Networks

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“…In 2019, Liu et al [20] proposed a fuzzy-TOPSIS-based HO algorithm to reduce the ping-pong effect and number of HOs. The proposed algorithm leveraged the benefits of fuzzy logic and TOPSIS and utilized the received signal-strength intensity (RSSI) and signalto-noise ratio (SNR) as the HO criteria.…”

Section: Related Workmentioning

confidence: 99%

“…In mobility management, FLC is used to adjust and adapt the HCP (TTT and HOM) values to provide an automatic HO process. The existing works, for example, in [15,18,20,21], applied FLC in their algorithms for HO in mobile systems and show that FLCs are very useful for automatic HO parameter optimization.…”

Section: Overviewmentioning

confidence: 99%

“…Many of the existing works, such as in [15,18,20,21], have demonstrated that the FL system could provide optimum HO performance. Besides that, the FL system can simultaneously optimize the two important HO parameters, which are TTT and HOM, with accurate results, as demonstrated in our results.…”

Section: Robust Handover Optimization Technique With Fuzzy Logic Cont...mentioning

confidence: 99%

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Robust Handover Optimization Technique with Fuzzy Logic Controller for Beyond 5G Mobile Networks

Alraih

Nordin

Abu-Samah

et al. 2022

Sensors

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Mobility management is an essential process in mobile networks to ensure a high quality of service (QoS) for mobile user equipment (UE) during their movements. In fifth generation (5G) and beyond (B5G) mobile networks, mobility management becomes more critical due to several key factors, such as the use of Millimeter Wave (mmWave) and Terahertz, a higher number of deployed small cells, massive growth of connected devices, the requirements of a higher data rate, and the necessities for ultra-low latency with high reliability. Therefore, providing robust mobility techniques that enable seamless connections through the UE’s mobility has become critical and challenging. One of the crucial handover (HO) techniques is known as mobility robustness optimization (MRO), which mainly aims to adjust HO control parameters (HCPs) (time-to-trigger (TTT) and handover margin (HOM)). Although this function has been introduced in 4G and developed further in 5G, it must be more efficient with future mobile networks due to several key challenges, as previously illustrated. This paper proposes a Robust Handover Optimization Technique with a Fuzzy Logic Controller (RHOT-FLC). The proposed technique aims to automatically configure HCPs by exploiting the information on Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and UE velocity as input parameters for the proposed technique. The technique is validated through various mobility scenarios in B5G networks. Additionally, it is evaluated using a number of major HO performance metrics, such as HO probability (HOP), HO failure (HOF), HO ping-pong (HOPP), HO latency (HOL), and HO interruption time (HIT). The obtained results have also been compared with other competitive algorithms from the literature. The results show that RHOT-FLC has achieved considerably better performance than other techniques. Furthermore, the RHOT-FLC technique obtains up to 95% HOP reduction, 95.8% in HOF, 97% in HOPP, 94.7% in HOL, and 95% in HIT compared to the competitive algorithms. Overall, RHOT-FLC obtained a substantial improvement of up to 95.5% using the considered HO performance metrics.

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“…Penulis (Tillapart, Thumthawatworn, Viriyaphol, & Santiprabhob, 2015) mengusulkan desain sistem keputusan handover berbasis fuzzy baru untuk mengurangi kompleksitas mesin fuzzy tanpa mengurangi kinerjanya. Pada (Liu, Kwong, Zhang, & Li, 2019) mengembangkan algoritma handover berbasis fuzzy-TOPSIS untuk mengurangi number of handover dan ping-pong effect. Dengan metodenya, mereka mampu meminimalkan rasio ping-pong dan total handover yang berlebihan.…”

Section: Pendahuluanunclassified

Skema Handover pada Multi-kamera dengan Logika Fuzzy untuk Sistem Pemantauan Orang

2021

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ABSTRAKAdanya berbagai peristiwa yang membahayakan di tempat keramaian menyebabkan diperlukannya sebuah sistem pemantauan aktifitas manusia di sekitarnya untuk pengawasan keamanan. Sistem multi-kamera sangat cocok digunakan untuk pemantauan target pada lingkungan area yang luas. Disaat target meninggalkan jangkauan area kamera menuju lainnya, proses pemantauan target harus tetap bekerja dan diserahkan ke kamera lainnya. Protokol serah terima target dapat berjalan jika terdapat komunikasi antar kamera yang tersedia. Penelitian ini menyajikan skema handover pada sistem multi-kamera dengan menerapkan pengambilan keputusan handover berbasis logika fuzzy. Dengan begitu, target akan selalu ditangani oleh kamera meskipun target bergerak menjauhinya. Berdasarkan hasil simulasi, skema handover ini mampu mereduksi total number of handover sebesar 20% dibandingkan dengan metode AHCS (Active Handover Control Scheme). Selain itu, handover delay pada metode usulan memperoleh waktu 123.72μs dan masih lebih lama dari AHCS.Kata kunci: handover, multi-kamera, pemantauan orang, fuzzy logic ABSTRACTThe existence of various dangerous events in a crowded place causes the need of surveillance system to monitor the human activity continuously in a certain area. Multi-camera systems are used to monitor targets in large areas. When the target leaves the camera’s range for another, the target monitoring process should continue to work and be left to other cameras. The target handover protocol may work if there is communication between the available cameras. This document presents a handover scheme in a multi-camera system by applying a fuzzy logic handover decision. Thus, the target will always be processed by the camera, even if the target is moving away from it. Based on the simulation results, this handover scheme is able to reduce the total number of handovers by 20% compared to the AHCS (Active Handover Control Scheme) method. In addition, the handover delay in the proposed method obtains 123.72 μs and is still longer than the AHCS.Keywords: handover, multi-camera, human monitoring, fuzzy logic

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Fuzzy-TOPSIS Based Optimal Handover Decision-making Algorithm for Fifth-generation of Mobile Communications System

Cited by 15 publications

References 19 publications

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

Robust Handover Optimization Technique with Fuzzy Logic Controller for Beyond 5G Mobile Networks

Skema Handover pada Multi-kamera dengan Logika Fuzzy untuk Sistem Pemantauan Orang

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