Vertical handover decision using fuzzy logic in a heterogeneous environment

Islam, Tajul; Hossain, Liton; Kabir, Md. Ahasan; Rahman, Tawabur; Salekin, Shirazus; Alam, Sk. Shariful; Mitul, Abu Farzan

doi:10.1109/iciev.2013.6572621

“…For example, with 1186 users in the environment, the handover failure rate with the RSS based algorithm is 34.32%, 27.06 % with the SMART based algorithm, and 13.24% with the developed algorithm. The numerical values for PHFR is shown in Table [1]. As shown by Figure 3, the improvement in the percentage of the users who are assigned to the network of their preference in the developed algorithm can be seen.…”

Section: Resultsmentioning

confidence: 83%

“…A generic and novel solution to solve the VHO problem and any other comparable optimized selection problem is presented in this section. The solution consists of two major phases as shown by Figure (1). The first phase is called elimination/removal phase where the measurements of the different VHO criteria such as Received Signal Strength, Network Load, User preferences, etc.. are received from the different alternatives (RATs) and the nonappropiate alternetives are eliminated based on the elimination conditions.…”

Section: Vho Proposed Solutionmentioning

confidence: 99%

“…VHO algorithms are one significant challenge for Radio Resource Management (RRM) in HWN. The VHO is one of the key components that must be addressed and considered carefully in the HWN environments and need to be designed to provide the required Quality of Service (QoS) to a wide range of applications [1][2][3] [4]. The performance of the VHD algorithms still need to be improved through using new tools and methods to make the handover decision, as well as taking into account the different viewpoints when choosing the criteria of the handover decision.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Vertical Handover Performance Using Elimination Based MCDM Algorithm

Alyousfi

¹

,

Alkhawlani

²

2016

JST

1

0

View full text Add to dashboard Cite

In heterogeneous networks environment, Vertical Handover Decision (VHD) algorithms help mobile terminals to choose the best network between all the available networks. VHD algorithms provide the QoS to a wide range of applications anywhere at any time. In this paper, a generic and novel solution to solve the Vertical Handover (VHO) problem has been developed. This solution contains two major subsystems: The first subsystem is called elimination system. Elimination system is received the different VHO criteria such as received signal strength, network load balancing and mobile station speed from the different available networks. After that, the inappropriate alternatives are eliminated based on the elimination conditions. The second subsystem is a Multiple Criteria Decision Making (MCDM) system that chooses the appropriate alternative from the remaining alternatives of the elimination phase. For simulate the proposed solution, MATLAB program is used with aid of MATLAB-based toolbox that is called RUdimentary Network Emulator (RUNE). The combination of both subsystems avoids the processing delay caused by unnecessary computation over available networks which do not ensure connection performance. Also it avoids increasing the number of unnecessary handovers, ping pong effect, blocking rate and dropping rate by reducing the handover failure rate. A performance analysis is done and results are compared to other reference algorithms. These results demonstrate a significant improvement over other reference algorithms in terms of handover failure rate, percentage of satisfied users, and percentage of the low cost network usage.

show abstract

“…For example, with 1186 users in the environment, the handover failure rate with the RSS based algorithm is 34.32%, 27.06 % with the SMART based algorithm, and 13.24% with the developed algorithm. The numerical values for PHFR is shown in Table [1].…”

Section: Resultsmentioning

confidence: 99%

Optimization of Vertical Handover Performance Using Elimination Based MCDM Algorithm

Alyousfi

¹

,

Alkhawlani

²

2016

View full text Add to dashboard Cite

In heterogeneous networks environment, Vertical Handover Decision (VHD) algorithms help mobile terminals to choose the best network between all the available networks. VHD algorithms provide the QoS to a wide range of applications anywhere at any time. In this paper, a generic and novel solution to solve the Vertical Handover (VHO) problem has been developed. This solution contains two major subsystems: The first subsystem is called elimination system. Elimination system is received the different VHO criteria such as received signal strength, network load balancing and mobile station speed from the different available networks. After that, the inappropriate alternatives are eliminated based on the elimination conditions. The second subsystem is a Multiple Criteria Decision Making (MCDM) system that chooses the appropriate alternative from the remaining alternatives of the elimination phase. For simulate the proposed solution, MATLAB program is used with aid of MATLAB-based toolbox that is called RUdimentary Network Emulator (RUNE). The combination of both subsystems avoids the processing delay caused by unnecessary computation over available networks which do not ensure connection performance. Also it avoids increasing the number of unnecessary handovers, ping pong effect, blocking rate and dropping rate by reducing the handover failure rate. A performance analysis is done and results are compared to other reference algorithms. These results demonstrate a significant improvement over other reference algorithms in terms of handover failure rate, percentage of satisfied users, and percentage of the low cost network usage. systems and Bluetooth, in addition to the traditional cellular networks which are nearly universally accessible today. For a satisfactory user experience, MTs must be able to seamlessly transfer to the best Radio Access Technologies (RATs) between all available candidates with no perceivable interruption to an ongoing conversation, which could be a voice or video session. Such ability to Hand-Over (HO) among Heterogeneous Wireless Networks (HWNs) is referred to as Vertical Handover (VHO). VHO algorithms are one significant challenge for Radio Resource Management (RRM) in HWN. The VHO is one of the key components that must be addressed and considered carefully in the HWN environments and need to be designed to provide the required Quality of Service (QoS) to a wide range of applicationsThe performance of the VHD algorithms still need to be improved through using new tools and methods to make the handover decision, as well as taking into account the different viewpoints when choosing the criteria of the handover decision. As some of the existing VHD algorithms, do not exploit the advantages of the multi-criteria nature of the VHD that can give better performance than single criterion algorithms due to the flexible and complementary nature of the different criteriaFurthermore, considering only one or two criteria in the VHD solution is not sufficient to provide a good solution and usually leads to un...

show abstract

“…In 2010, 2013, and 2019 [94][95][96], two approaches to vertical HO were introduced in a HetNets environment. The fuzzy interface system was used, as well as subtractive clustering techniques.…”

Section: Related Workmentioning

confidence: 99%

Mobility Management of Unmanned Aerial Vehicles in Ultra–Dense Heterogeneous Networks

Al-Shaibani

¹

,

Shayea

²

,

Çağlar

³

et al. 2022

Sensors

View full text Add to dashboard Cite

The rapid growth of mobile data traffic will lead to the deployment of Ultra–Dense Networks (UDN) in the near future. Various networks must overlap to meet the massive demands of mobile data traffic, causing an increase in the number of handover scenarios. This will subsequently affect the connectivity, stability, and reliability of communication between mobile and serving networks. The inclusion of Unmanned Aerial Vehicles (UAVs)—based networks will create more complex challenges due to different mobility characterizations. For example, UAVs move in three–dimensions (3D), with dominant of line–of–sight communication links and faster mobility speed scenarios. Assuring steady, stable, and reliable communication during UAVs mobility will be a major problem in future mobile networks. Therefore, this study provides an overview on mobility (handover) management for connected UAVs in future mobile networks, including 5G, 6G, and satellite networks. It provides a brief overview on the most recent solutions that have focused on addressing mobility management problems for UAVs. At the same time, this paper extracts, highlights, and discusses the mobility management difficulties and future research directions for UAVs and UAV mobility. This study serves as a part of the foundation for upcoming research related to mobility management for UAVs since it reviews the relevant knowledge, defines existing problems, and presents the latest research outcomes. It further clarifies handover management of UAVs and highlights the concerns that must be solved in future networks.

show abstract

Vertical handover decision using fuzzy logic in a heterogeneous environment

Cited by 5 publications

References 5 publications

Optimization of Vertical Handover Performance Using Elimination Based MCDM Algorithm

Optimization of Vertical Handover Performance Using Elimination Based MCDM Algorithm

Optimization of Vertical Handover Performance Using Elimination Based MCDM Algorithm

Mobility Management of Unmanned Aerial Vehicles in Ultra–Dense Heterogeneous Networks

Contact Info

Product

Resources

About