Handoff In Heterogeneous Wireless Networks Research Articles

Model-Free QoE-Aware Seamless Handoff in Heterogeneous Wireless Networks

Model-Free QoE-Aware Seamless Handoff in Heterogeneous Wireless Networks

Retraction: Bandwidth Optimization for Vertical Handoff using Hybrid Cuckoo Search and Genetic Algorithm Scheme (J. Phys.: Conf. Ser. 2327 012055)

This article has been retracted by IOP Publishing following an allegation that this article may contain tortured phrases [1].IOP has investigated in line with COPE guidelines and have found the article contains unconventional terms to be masking overlap [2-3] and agree this article should be retracted. IOP Publishing wishes to credit the Problematic Paper Screener and PubPeer commenters [4] for bringing the issue to our attention. The authors have not confirmed whether they agree or disagree to this retraction.[1] Cabanac G, Labbe C, Magazinov A, 2021, arXiv:2107.06751v1[2] Abdel-Baset M and Hezam I, 2016, Cuckoo Search and Genetic Algorithm Hybrid Schemes for Optimization Problems. Applied Mathematics & Information Sciences an International Journal. 10. 3. 1185-1192[3] Zahran A.H, Liang B and Saleh A, 2006, Signal threshold adaptation for vertical handoff in heterogeneous wireless networks. Mobile Netw Appl 11, 625–640[4] https://pubpeer.com/publications/EAD8ED7A07BC4978D12D0A56131AB8 Retraction published: 23 December 2022

Dynamic user preference based group vertical handoffs in heterogeneous wireless networks: a non-cooperative game approach

When a group of Mobile Users (MUs) equipped with multi-mode or multi-home terminals, like passengers on board a bus or a train or a car, moves from one wireless network (WN) to another WN within a heterogeneous wireless network (HWN) environment, request vertical handoffs simultaneously, a group vertical handoff (GVHO) occurs. In literature, the prevailing research work is mainly concerned for forced GVHO with network aspects like signal strength and bandwidth etc. while in reality the user initiated GVHO with the user aspects like price, power consumption and velocity etc. along with their respective user preferences is more important for performing vertical handoffs in HWNs. In user initiated GVHO, selection of the mutually best WN-MU pair which can maximise network revenue of constituent WN as well as user satisfaction of MU in a group while minimising the simultaneous selection of a WN by multiple MU of the group is a challenging problem. This paper proposes a GVHO decision model based on non-cooperative game which utilizes multiple handoff decision attributes and their respective user preferences calculated dynamically on real-time basis as the game strategies to select the best available WNs by group MUs at NASH equilibrium for vertical handoffs. The performance of the proposed model is evaluated in terms of number of GVHOs, price of anarchy and price of stability for both group of MUs and WNs. The simulation results show that the proposed model results in minimum number of GVHOs as compared to existing GVHO models and maximisation of user satisfaction and network revenue.

From Cellular Decision Making to Adaptive Handoff in Heterogeneous Wireless Networks

Handoff decision making is critical for mobile users to reap potential benefits from heterogeneous wireless networks. This letter proposes a biologically inspired handoff decision-making method by mimicking the dynamics which govern the adaptive behavior of an Escherichia coli cell in a time-varying environment. With the goal of guaranteeing the quality of service (QoS), we formulate a utility function that covers the demands of a user’s diverse applications and the time-varying network conditions. With this utility function, we map the dynamic heterogeneous environment to a cellular decision-making space, such that the user is induced by a cellular attractor selection mechanism to make distributed and robust handoff decisions. Furthermore, we also present a multi-attribute decision-making network selection algorithm for any user to determine an access network, which is integrated with the proposed bio-inspired decision-making mechanism. Simulation results are supplemented to show that the proposed method can achieve better QoS and fairness when it is compared with conventional methods.

Dynamic User Preference Based Network Selection for Vertical Handoff in Heterogeneous Wireless Networks

In Heterogeneous Wireless Networks (HWN), seamless Vertical Handoff (VHO) to the best available network is significant in providing Quality of Experience to the Mobile Users. The selection of best available network is based on multiple contrasting handoff decision attributes along with their respective User Preferences. In literature, the user preferences used in various network selection techniques are pre-fixed i.e. static and arbitrary without any standard theoretical basis. This paper proposes a method to moderate these static user preferences on real time basis according to the current value of respective handoff decision attributes, to make them dynamic and realistic. The effect of Dynamic User Preferences on network selection for vertical handoff, is evaluated with the prominent Multi Attribute Decision Making (MADM) methods like Simple Additive Weighting, Multiplicative Exponential Weighting, Technique of Order Preference Similarity to Ideal Solution, and Grey Relational Analysis. Simulations are performed using both static user preference weights from the user and proposed dynamic user preference weights. The result of simulations shows that the number of vertical handoffs, needs to complete an application by a mobile user, using dynamic user preference weights is less in comparison to using static user preference weights for all considered MADM methods. This proves the effectiveness of the proposed dynamic user preferences in network selections to perform VHOs in HWNs.

A Genetic Algorithm-based Framework for Soft Handoff Optimization in Wireless Networks

In this paper, a genetic algorithm (GA)-based approach is used to evaluate the probability of successful handoff in heterogeneous wireless networks (HWNs) so as to increase capacity and network performance. The traditional handoff schemes are prone to ping pong and corner effects and developing an optimized handoff scheme for seamless, faster, and less power consuming handoff decision is challenging. The GA scheme can effectively optimize soft handoff decision by selecting the best fit network for the mobile terminal (MT) considering quality of service (QoS) requirements, network parameters and user’s preference in terms of cost of different attachment points for the MT. The robustness and ability to determine global optima for any function using crossover and mutation operations makes GA a promising solution. The developed optimization framework was simulated in Matrix Laboratory (MATLAB) software using MATLAB’s optima tool and results show that an optimal MT attachment point is the one with the highest handoff success probability value which determines direction for successful handoff in HWN environment. The system maintained a 90% with 4 channels and more while a 75% was obtained even at high traffic intensity.

A novel software‐defined networking approach for vertical handoff in heterogeneous wireless networks

AbstractWe propose a novel vertical handoff scheme with the support of the software‐defined networking technique for heterogeneous wireless networks. The proposed scheme solves two important issues in vertical handoff: network selection and handoff timing. In this paper, the network selection is formulated as a 0‐1 integer programming problem, which maximizes the sum of channel capacities that handoff users can obtain from their new access points. After the network selection process is finished, a user will wait for a time period. Only if the new access point is consistently more appropriate than the current access point during this time period, will the user transfer its inter‐network connection to the new access point. Our proposed scheme ensures that a user will transfer to the most appropriate access point at the most appropriate time. Comprehensive simulation has been conducted. It is shown that the proposed scheme reduces the number of vertical handoffs, maximizes the total throughput, and user served ratio significantly. Copyright © 2016 John Wiley & Sons, Ltd.

Freeze Dead Line Algorithm for Vertical Handoff in Heterogeneous Wireless Networks

In this paper, we propose an algorithm to solve handover problems in heterogeneous wireless networks. Many previous studies concentrated on the lower level layer to solve handover problems. In this paper, we concentrate on high level handover problems such as network and transport layers. We solve handover problems of the transport layer in a heterogeneous wireless networks and propose a Freeze DeadLine (FDL) algorithm for better performance. The proposed method is analyzed from a theoretical perspective and is verified using the Network Simulator– 2.

The QoS-Ensured Vertical Handoff Decision in Heterogeneous Wireless Networks

The multi-criteria vertical handoff algorithm plays an important role in heterogeneous wireless networks. There are two drawbacks in the available multi-criteria vertical handoff algorithms. The conventional algorithms do not give the feasible method to determine attribute weight values, and do not also consider the dependency relationship among the decision attributes, which are not mutually independent. These factors make it challenge to select the QoS-ensured network for vertical handoff in heterogeneous wireless networks. This paper proposes a method to determine weight values of each attribute according to the importance degree by using analytic hierarchy process. In order to eliminate the interaction among various criteria, we also propose a novel principal component extraction method based on principal component analysis, which can rapidly choose the QoS-ensured network with lower compute cost by only using less of the synthetic components. Extensive experiment illustrates the performance of the proposed algorithm compared with previous schemes, and the results show that the proposed vertical handoff decision algorithm can effectively eliminate the interaction among the original decision attributes, and extract the principal components (Only the first two principal components are able to seize 98% criteria information of the original decision information.). This algorithm can accurately select the QoS-ensured network with fewer principal components.

QoS based Vertical Handoff Algorithm for Next Generation of Wireless Network

In this paper present the different issue of vertical handoffs in heterogeneous wireless networks. The uses of wireless communications are popular and increasing its demand over worldwide. In the world every one likes to be connected seamlessly any time any where through the best network and good service. The proposed system its aim is that it provides better service to the user. In this paper consider the different parameters like available bandwidth of WLAN or WiMAX, remaining Power of node, high level security of node and cost of node. From above parameters current status of networks and detected node information is collected and based on it Vertical Handoff algorithm takes decision. Handoff decision will take place only when network cannot satisfy the QoS requirement. General Terms VHOM (Vertical Handoff Manager Algorithm)

A Utility-based Optimal Joint Call Admission Control Scheme with Vertical Handoff in Heterogeneous Wireless Networks

This paper comes up with a mechanism of optimal joint call admission control based on different service types. Considering practical wireless transmission environment, it divides the heterogeneous wireless network into several areas and also defines the peak rates that its users could get in each area. The process of call admission control is modeled into a semi-Markov process for the two typical services of streaming media service and elastic traffic which need high band width demand. In accordance with the features of different services, it also defines corresponding admission utility function. The optimal admission strategy with highest admission utility in the whole process of call admission control is obtained on the basis of guaranteeing successful session admission and vertical handoff. Simulation results show that the defined admission utility function could effectively reflect the influence of the change of network status to admission control. The suggested optimal joint call admission control excels the both schemes of non-combined call admission control and non-supporting users' mobility in terms of average admission utility and call blocking rate, and is capable of ensuring lower blocking probability and handoff success ratio.

A comprehensive approach to vertical handoff in heterogeneous wireless networks

A multi-criteria vertical handoff system sensitive to various mobile-terminals’ mobility parameters including distance and velocity in a heterogeneous wireless network is analytically formulated and validated via simulations. It is targeted to estimate the essential handoff parameters including outage probability, residual capacity, and signal to interference and noise threshold as well as network access cost. In order to avoid the ping–pong effect in handoff, a signal evolution prediction system is formulated and its performance is examined. Moreover, the handoff scheme is triggered using an on line handoff-initiation-time estimation scheme. When initiated, the handoff procedure begins with a network scoring system based on multi-attribute strategy which results in selection of potentially promising network parameters. Simulation results are shown to track well the analytical formulations.

A Movement based Algorithm for Determining Handoff in Heterogeneous Wireless Networks

The Next Generation wireless networks generally called 4G Networks will most likely be actualized by the Integration of present day available heterogeneous wireless networks. Integration of these networks will largely depend on the process of vertical handoff. Vertical handoff occurs when an active communication session is transferred between different radio access technologies. An efficient assessment system is essential for appropriate network selection.Unlike horizontal handoff, vertical handoff only takes place in cell edges. There are many other factors that should be considered for a proper vertical handoff i.e., triggering factor, critical factor and influencing factors. For that an efficient assessment system is essential for appropriate network selections. The vertical handover problem has been becoming increasingly interesting due to its practical value. The convergence of heterogeneous wireless access technologies characterizes the 4G wireless networks. In such systems the seamless and efficient handoff between different access technologies is essential and remains a challenging problem. This paper presents a Movement based algorithm (MBA) for determining handoff in heterogeneous wireless networks. Our algorithm addresses to cellular as well as broadband mix systems for randomly generated users. Our algorithm determines pathloss, throughput and signal-tonoise- ratio (SNR) between randomly generated users, Access points (APs) and Base stations (BS). The proposed method is well suited for networks systems, it eliminates the rigorous mathematical expressions and its design is simple and straightforward.The main goal of our algorithm is to enhance or improve the system performance in terms of higher throughput for the required networks (BWN and WiMax). Simulation work has been carried out in the MATLAB environment. Simulation results significantly outperform the existing algorithms. We haven’t used any MATLAB toolbox. In fact we developed our own simulation platform in MATLAB. Simulation results confirm that our algorithm improves higher throughput by 14.8 % compared to other existing approaches.

Distance-Based Scheme for Vertical Handoff in Heterogeneous Wireless Networks

Seamless vertical handoff between different access networks in the next generation wireless networks remains a challenging problem. A recent vertical handoff scheme that is based on Signal to Interference and Noise Ratio (SINR) may not be the best scheme for selecting the service access point or base station. Although this SINR- based scheme has higher system throughput and lower disconnection probability as compared with other vertical handoff schemes, we presume that the distance is a good criterion for decreasing service disconnection probability and increasing system throughput. The Distance-based Scheme for Vertical Handoff (DSVH) that we propose in this paper for heterogeneous wireless networks is a reactive vertical handoff scheme. We suggest that vertical handoff be based on the Received Signal Strength (RSS) and the distances to access points or base stations, where the main goal of this scheme is to enhance system performance in terms of reducing service disconnection probability and increasing system throughput. The simulation experiments show that our proposed scheme, DSVH, significantly outperforms the SINR-based scheme. It reduces the number of dropped users by 20%. However, the throughput improvrmrnt is insignificant; it is about 1%.

Application of MADM Method VIKOR for Vertical Handoff in Heterogeneous Wireless Networks

A key technical challenge in heterogeneous wireless networks (HWNs) is the support of vertical handoff. It allows mobile users to switch connections among networks. In this paper, we propose and evaluate the application of VIKOR for vertical handoff. VIKOR is a Multiple Attribute Decision Making (MADM) method which makes decisions based on an aggregating function representing closeness to the ideal solution. We conducted simulation experiments to compare the performance of VIKOR for vertical handoff with other decision schemes such as SAW, TOPSIS, and WMC. We considered voice, data, and cost-constrained connections. Our results show that VIKOR is able to obtain satisfactory to excellent performance in the four different types of connections being considered.

TCP Context Switching Scheme to Enhance Throughput by Adapting Well to Vertical Handoff in Heterogeneous Wireless Networks

Vertical handoff is a new type of handoff that is triggered when a mobile node moves over heterogeneous wireless networks with each proving different access bandwidth, transmission latency, and coverage. A mobile node can achieve higher throughput by accessing a higher bandwidth providing wireless network. However, TCP has to experience drastic changes of the bandwidth and the latency due to the vertical handoff which must be recognized as a network congestion, and this degrades end-to-end performance. In this paper, we propose a TCP context switching scheme, named Context-Switching TCP, that maintains TCP variables separately for different types of wireless networks. Through simulations, Context-Switching TCP shows higher performance than TCP SACK for vertical handoff. Especially, it shows much higher performance gain when vertical handoff occurs frequently.

Signal threshold adaptation for vertical handoff in heterogeneous wireless networks

The convergence of heterogeneous wireless access technologies has been envisioned to characterize the next generation wireless networks. In such converged systems, the seamless and efficient handoff between different access technologies (vertical handoff) is essential and remains a challenging problem. The heterogeneous co-existence of access technologies with largely different characteristics results in handoff asymmetry that differs from the traditional intra-network handoff (horizontal handoff) problem. In the case where one network is preferred, the vertical handoff decision should be carefully executed, based on the wireless channel state, network layer characteristics, as well as application requirements. In this paper, we study the performance of vertical handoff using the integration of 3G cellular and wireless local area networks as an example. In particular, we investigate the effect of an application-based signal strength threshold on an adaptive preferred-network lifetime-based handoff strategy, in terms of the signalling load, available bandwidth, and packet delay for an inter-network roaming mobile. We present an analytical framework to evaluate the converged system performance, which is validated by computer simulation. We show how the proposed analytical model can be used to provide design guidelines for the optimization of vertical handoff in the next generation integrated wireless networks.