A Fuzzy Logic System for Vertical Handover and Maximizing Battery Lifetime in Heterogeneous Wireless Multimedia Networks

Coqueiro, Thiago; Jailton, José; Carvalho, Tássio; Francês, Carlos Renato Lisboa

doi:10.1155/2019/1213724

Cited by 18 publications

(14 citation statements)

References 18 publications

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“…The satellite network provides the RSS Quality value in scale of 0 to 5; hence, the value is also converted to RSS Quality percentage from (scale 0 value) 0% to (scale 5 value) 100%. This Quality conversion makes Wi-Fi, Radio and Satellite networks to be evaluated on the basis of RSS Quality percentage (0% -100%), where 50% of RSS Quality is considered medium quality [29]; hence 50% is taken as the threshold limit for handover decision. The RSS values for all the active network interfaces are calculated based on algorithms presented in Algorithms 1-3.…”

Section: Conventional Rss Quality Based Vhd Methodsmentioning

confidence: 99%

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Vertical Handover Decision for Mobile IoT Edge Gateway Using Multi-Criteria and Fuzzy Logic Techniques

Gaur¹,

Budakoti²,

Lung³

2020

AIT

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Internet of Things (IoT) is ubiquitous, including objects or devices communicating through heterogenous wireless networks. One of the major challenges in mobile IoT is an efficient vertical handover decision (VHD) technique between heterogenous networks for seamless connectivity with constrained resources. The conventional VHD approach is mainly based on received signal strength (RSS). The approach is inefficient for vertical handover, since it always selects the target network with the strongest signal without taking into consideration of factors such as quality of service (QoS), cost, delay, etc. In this paper, we present a hybrid approach by integrating the multi-criteria based VHD (MCVHD) technique and an algorithm based on fuzzy logic for efficient VHD among Wi-Fi, Radio and Satellite networks. The MCVHD provides a lightweight solution that aims to achieving seamless connectivity for mobile IoT Edge Gateway over a set of heterogeneous networks. The proposed solution is evaluated in real time using a testbed containing real IoT devices. Further, the testbed is integrated with lightweight and efficient software techniques, e.g., microservices, containers, broker, and Edge/Cloud techniques. The experimental results show that the proposed approach is suitable for an IoT environment and it outperforms the conventional RSS Quality based VHD by minimizing handover failures, unnecessary handovers, handover time and cost of service.

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Section: Conventional Rss Quality Based Vhd Methodsmentioning

confidence: 99%

“…There have also been recent articles presenting different methods for VHD, e.g., [29] [30] [31] [32] [33]. As presented in a survey [32], those approaches have only been experimented using simulation tools, e.g., NS-2, NS-3, or MATLAB, or investigated simply via theoretical analysis.…”

Section: Background and Related Workmentioning

confidence: 99%

Vertical Handover Decision for Mobile IoT Edge Gateway Using Multi-Criteria and Fuzzy Logic Techniques

Gaur¹,

Budakoti²,

Lung³

2020

AIT

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“…Handover has been introduced since the time of the introduction of wireless communication. There have been different handover strategies from the handover strategies used now days in the earlier times [7]. Factors on the basis of which categorization of handoffs is done can be number of connections, administrative domains involved, user based, necessity of handover,network types and frequencies engaged.…”

Section: Figure 1: Interworking Technologies In Heterogeneous Networkmentioning

confidence: 99%

“…This power drainage is about 20 percent of a typical laptop computer's total power drain. In addition to power loss, addition of more devices increases the network traffic and bandwidth consumption in the handoff system architecture [15]. The handoff/handover server needs to be conscious of extra devices that will cause more packets and messages to be sent.…”

Section: Vertical Handovermentioning

confidence: 99%

“…The wireless network must be multiple access networks that offers access to a broad range of technologies, such as WiMAX, LTE, Bluetooth and Wi-Fi, all in the present conditions and in near future. [5].There will be the need of the co-existence of various wireless technologies to work together to achieve a heterogeneous network for allowing the mobile users to stay forever best connected [6].…”

Section: Introductionmentioning

confidence: 99%

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Handoff Decisions in Hetnets using Fuzzy Logic and Machine Learning Techniques

Mahajan,

Prof. Zaheeruddin

2019

IJEAT

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Handover is a vital part of any wireless Mobile Communication Network. Efficient handover algorithms provide a gain in monetary cost effective method for enhancement in the capacity and QOS(quality of services) of cellular system. The work reported here presents a handover decision support system for wireless heterogenous communication. Fuzzy inference system along with neural network techniques in Matlab has been used for the development of the system.Results for performance of five different neural network techniques have been drawn on basis of their training time,classification accuracy and number of neurons taken. The neural tools used here are Back propagation, Radial Basis Function, Nave Bayes, Bayes net and C4.5 decision tree. On the basis of their performance, a best neural tool has been selected for the use in making handover decisions in wireless communication systems and it is seen that among all the neural network tools C 4.5 decision tree gives the better results in terms of classification accuracy and training time for handover decisions

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An intelligent load balancing algorithm for 5G‐satellite networks

Bello,

Pillai,

Sadiq

2024

Satell Commun Network

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SummaryCellular networks are projected to deal with an immense rise in data traffic, as well as an enormous and diverse device, plus advanced use cases, in the nearest future; hence, future 5G networks are being developed to consist of not only 5G but also different radio access technologies (RATs) integrated. In addition to 5G, the user's device (UD) will be able to connect to the network via LTE, WiMAX, WiFi, Satellite and other technologies. On the other hand, Satellite has been suggested as a preferred network to support 5G use cases. However, achieving load balancing is essential to guarantee an equal amount of traffic distributed between different RATs in a heterogeneous wireless network; this would enable optimal utilisation of the radio resources and lower the likelihood of call blocking/dropping. This study presented an artificial intelligent‐based application in heterogeneous wireless networks and proposed an enhanced particle optimisation (EPSO) algorithm to solve the load balancing problem in 5G‐Satellite networks. The algorithm uses a call admission control strategy to admit users into the network to ensure that users are evenly distributed on the network. The proposed algorithm was compared with the Artificial Bee Colony and Simulated Annealing algorithm using three performance metrics: throughput, call blocking and fairness. Finally, based on the experimental findings, results outcomes were analysed and discussed.

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A Fuzzy Logic System for Vertical Handover and Maximizing Battery Lifetime in Heterogeneous Wireless Multimedia Networks

Cited by 18 publications

References 18 publications

Vertical Handover Decision for Mobile IoT Edge Gateway Using Multi-Criteria and Fuzzy Logic Techniques

Vertical Handover Decision for Mobile IoT Edge Gateway Using Multi-Criteria and Fuzzy Logic Techniques

Handoff Decisions in Hetnets using Fuzzy Logic and Machine Learning Techniques

An intelligent load balancing algorithm for 5G‐satellite networks

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