Vertical Handoff Decision Algorithm Research Articles

Retraction Note to: Trust and privacy based vertical handoff decision algorithm for telecardiology application in heterogeneous wireless networks

Retraction Note to: Trust and privacy based vertical handoff decision algorithm for telecardiology application in heterogeneous wireless networks

Design, Implementation, and Analysis of Vertical Handoff Decision Algorithm

The increasing use of mobile communication and computing has made accurate and efficient methods of executing vertical handoff a necessity. This research paper captures the design and implementation of an effectual algorithm for making decision for vertical handoff based on fuzzy logic. The input parameters considered are bandwidth, battery status, and cost. The authors present analysis of the handover value, which gives the handoff decision, in relation to the input attributes, using regression analysis, correlation analysis, and ANOVA.

PIPVH: Power Intensify Prime Vertical Handoff Decision Algorithm for Heterogeneous Wireless Networks

Wild enhancement of remote network means to provide the steady constant affiliation through acquire to assorted advance as well as to have relationship through the finest organization which give the superlative quality of service (QoS). Vertical handover come keen on portrait when consumer move in dissimilar organization. Plotting canny vertical handover thought is a mainly vital test pro heterogeneous wireless network (HWNs). In this manuscript, we plan a QoS upgraded idyllic vertical handoff (O-VHO) choice computation pro HWNs. The planned calculation comprise of two stages. In primary stage, accumulate all essential credit to recognize the require for handoff plus afterward start it. We consider the numerous credit for progress the consumer quality dimensions, pro instance, statistics broadcast, handoff immobility, received signal strength (RSS),consumer portability, power exploitation, network cost, consumer inclination, as well as QoS dimensions (handoff deferral, throughput, plus parcel misfortune proportion). At to tip we plan multi-useful Intuitionist feathery TOPSIS (MIF-TOPSIS) base dynamic computation to figure the consumer accurate organization region. At last, the planned O-VHO computation apply to assorted HWNs, pro instance, WLANs, MANETs plus VANETs. The recreation outcome shows the planned O-VHO choice computations perform influential than existing VHO calculation as far as QoS dimensions.

Reinforcement Learning Based Vertical Handoff Decision Algorithm for Next Generation Wireless Network

Next-generation wireless network systems and technologies provide a new paradigm for achieving the fastest access to any network. But one of the significant design concerns is the support of handoff, irrespective of the services. The key objective of this work is to enable a node to make appropriate decisions for performing handoff through Reinforcement learning. The work concentrates on the handoff decision phase for choosing the best network with a minimum delay during the handoff process. The reduction in decision delay has been achieved by minimizing the number of handoffs. The environment is modeled as a Markov decision process with the aim of increasing the total anticipated reward per link. The network resources that are used by the link is taken by a reward function and network switching cost that is utilized to model the signaling and processing load incurred on the network during handoff. It has been shown that the total number of unnecessary handoffs can be decreased enhancing the performance of heterogeneous networks. Also, an assessment of the proposed scheme with the existing Vertical handoff decision algorithm like the Simple Additive Weighting method (SAW) has been made and the results show an improved performance over SAW.

Vertical Handoff Decision Algorithm combined Improved Entropy Weighting with GRA for Heterogeneous Wireless Networks

Future network scenario will be a heterogeneous wireless network environment composed of multiple networks and multimode terminals (MMT). Seamless switching and optimal connectivity for MMT among different networks and different services become extremely important. Here, a vertical handoff algorithm combined an improved entropy weighting method based on grey relational analysis (GRA) is proposed. In which, the improved entropy weight method is used to obtain the objective weights of the network attributes, and GRA is done to rank the candidate networks in order to choose the best network. Through simulation and comparing the results with other vertical handoff decision algorithms, the number of handoffs and reversal phenomenon are reduced with the proposed algorithm, which shows a better performance.

RETRACTED ARTICLE: Trust and privacy based vertical handoff decision algorithm for telecardiology application in heterogeneous wireless networks

Telecardiology is one of the emerging fields of telemedicine to improve the cardiac patient’s life quality. It uses the information and communication technologies to monitor the cardiac patients by healthcare professionals at distant. The telecardiology system demands for ubiquitous connection to assure promising services. Such a seamless service is provided by heterogeneous wireless technology. But the open network infrastructure of the heterogeneous networks is prone to various security attacks which makes patient privacy susceptible. Therefore, in this paper, the telecardiology system incorporated with Trust and Privacy based Multi-attribute Vertical Handoff decision algorithm towards decide on an best possible association amongst the available alternative candidates based on the patient health condition. Simulation results show enhancement in provisions of handoff rate, reduced blocking probability and improved performance throughput.

Multi-criteria vertical handoff decision algorithm for overlaid heterogeneous mobile IP networks

One of the key challenges to improving the quality of service (QoS) in integrated heterogeneous mobile Internet protocol networks is the design of an intelligent decision engine for accessing various services anywhere and at any time. The multi-criteria decision making algorithm plays a significant role in ensuring universal and seamless connection. In this study, a multi-criteria vertical handoff decision algorithm plus dwell time is developed to achieve a satisfactory quality of service using the best access network selection in an integrated wireless local area network (WLAN), a worldwide interoperability for microwave access (WiMAX), and a universal mobile telecommunications system (UMTS). Handoffs are divided into two schemes: the UMTS originating handoff (downward) and the WLAN/WiMAX originating handoff (upward/intrasystem). The initial criteria for real-time and non-real-time services are presented. The metrics that are required to trigger a handoff are the predictive received signal strength (PRSS) of neighbor networks and the received signal strength obtained from the current network. The back propagation neural network is learned for the prediction. The dwell time is used as a counter to avoid the unnecessary handoffs that may occur in the overlapping areas. The quantitative network selection is the largest merit value and is based on the available bandwidth, cost, user preference, and the criteria to eliminate inappropriate candidate networks. The importance of using the PRSS, dwell time, and merit function is evaluated. To illustrate the QoS satisfaction, the multi-criteria vertical handoff decision algorithm outperforms the single-criteria using the hysteresis and Mamdani fuzzy method.

Trust and Privacy Based Authentication Method for Vertical Handoff Decision in Heterogeneous Network

Next generation wireless networks involve diverse wireless access technologies to support multimedia services to the roaming users with different Quality of Service constraints at anytime and anywhere. The increased number of users and service providers in the integrated network architecture requires authentication mechanism between communication entities to ensure secured handover. The existing security standards of each network are not able to provide most favorable security requirements of the heterogeneous networks because of independent and incompatibility of various wireless networks. Therefore, Trust and Privacy based Multi-attribute Vertical Handoff (TPMVHO) decision algorithm along with Hybrid Genetic Cuckoo Search algorithm to optimize the attributes weight is proposed to select an optimal network for secure handoff mechanism. Simulation results show the reduction in handoff rate, blocking rate and enhanced throughput against Improved Particle swarm optimization based Multi-attribute Vertical Handoff (IPMVHO).

Implement & Analysis of RSS Threshold based Vertical handoff Decision Algorithm for LTE & WLAN

Implement & Analysis of RSS Threshold based Vertical handoff Decision Algorithm for LTE & WLAN

Quality of Service aware Vertical Handoff Decision Algorithm between WiFi WiMax and LTE

Quality of Service aware Vertical Handoff Decision Algorithm between WiFi WiMax and LTE

Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time

Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time

A Multi-attribute Vertical Handoff Decision Algorithm Based on Motion Trend Quantification

The base station will initiate handoff blindly and cause high failure rate of handoff if the knowledge of the terminal,s motion trend is absent. An optimized algorithm is proposed to optmize existing vertical handoff algorithm in the LTE-WiMAX heterogeneous wireless network system. The proposed algorithm uses the motion trend quantification to estimate goal cells and restrict unnecessary handoff so as to increase success rate of handoff. The computer simulation results in fading channel show that the optimized algorithm can reduce the failure rate of handoff during the handoff process and enhance the handoff performance of network.

Hybrid Particle Swarm Optimization based Vertical Handoff Decision Algorithm for Multicriteria Metrics for Radio Heterogeneous Network

One among the critical design issues in the case of heterogeneous wireless networks is regarding the vertical handoff support. Vertical handoff happens when a mobile terminal makes a switch from one network to another (e.g., from WLAN to CDMA 1xRTT). The aim of this work is about determining the circumstances during which the vertical handoff has to be performed. Typically, a mobile user can roam and achieve the vertical handover making use of single criteria, like the Received Signal Strength (RSS). However the decision of single criteria vertical handover, might lead to a handoff that is inefficient, imbalanced network load, and service disruption. For the purpose of improving the accuracy pertaining the vertical handoff decision for use in radio heterogeneous network, this paper presents a Hybrid Particle swarm optimization based Multi criteria Vertical Handoff (HPMVHO) decision algorithm employing multi criteria metrics in the heterogeneous network environment that consists of three network interfaces: (i) Wireless Local Area Network (WLAN), (ii) Wideband Code Division Multiple Access (WCDMA), and (iii) Worldwide Interoperability For Microwave Access (WiMAX). In vertical handover decision, the metrics including Received Signal Strength (RSS), Network Throughput, bandwidth available, Power consumption, Expenditure, Security and user choices are taken into consideration. In the HPMVHO decision algorithm proposed, Fuzzy logic is applied for representing the inaccurate information of some of the attributes and user preferences. The Fuzzy logic considers the crucial criteria of the vertical handoff in the form of the input variables and then the handoff decision is made on the basis of the weight values defined. The weight values to every service has to be assigned in accordance with the quality with respect to the services parameters to each of the sensor on the basis of the Hybrid Particle Swarm Optimization (HPSO). The Extreme Learning Machine (ELM) assists in making the prediction for the number-of-users belonging to the after-handoff network that plays the role of a pivotal variable of the HPSO. This algorithm renders precise decision by using reasonable inference for designing the crucial multi criteria and then deciding over efficient decision technique. Finally, examples illustrating the proposed techniques are given, and the sensitivity of the strategies are examined.

Vertical Handoff Decision Algorithm Based on Predictive RSS and Reduced Fuzzy System Using Rough Set Theory

Vertical Handoff Decision Algorithm Based on Predictive RSS and Reduced Fuzzy System Using Rough Set Theory

Agent Based Vertical Handoff Decision Algorithm for Heterogeneous Wireless Networks

Internet service providers (ISP) are offering 4G network services through several wireless technologies such as WLAN, WiFi, WiMAX, LTE, etc. Thus, multimode devices will be able to manage communication links with different networks and support seamless mobility in these networks. To make decision for network selection during handoff, this paper proposes an Agent based vertical handoff decision algorithm that motivates users to periodically obtain the decision parameters and to identify optimal cost for decision function. The proposed handoff decision scheme uses agent technology. Link Monitoring Agent (LMA) is used to identify the decision parameter. The Handoff decisionmaking agent evaluates the decision function. These agents interact with each other in order to accelerate the handoff decision operation during vertical handoff. Keywords: 4G wireless networks, handoff decision function, heterogeneous wireless networks, mobile agents, vertical handoff decision.

An Optimal Vertical Handoff Decision Algorithm for Multiple Services with Different Priorities in Heterogeneous Wireless Networks

Heterogeneous wireless networks (HWNs) have aroused numerous interest in the past few years in which efficient vertical handoff algorithms are currently attracting much attention. This paper takes into account the vertical handoff decision algorithm in HWNs where multiple types of services with different priorities are supported. By modeling the vertical handoff process as a Markov decision process, a new reward function is introduced which consists of both quality of service profit and handoff cost. Meanwhile in the proposed reward function, multiple network parameters are included for a comprehensive evaluation of the network utilization. Moreover, considering multiple services with different priorities, an online dynamic bandwidth reservation scheme is proposed based on large deviation principle. This scheme, by estimating possible bandwidth request in future time slots, reserves the bandwidth resource adaptively in advance such that the call blocking probability as well as handoff dropping probability can be guaranteed to be within an admissible range. Simulation results show that the proposed vertical handoff decision algorithm can decrease the expected handoff number by about 15---22 % and significantly increase the expected total reward compared with existing results.

Optimization of Vertical Handoff Decision Algorithm for Wireless Networks

To provide mobile users with seamless access anywhere and anytime there is a strong need forinterworking mechanism between cellular networks and wireless local area networks in the next generation wirelessnetworks. Due to the heterogeneous underlying Quality of Service (QoS) support, the admission traffic in these areashas significant impact on overall resource utilization efficiency and QoS satisfaction when multiple services areconsidered. This paper addresses a Call-Level quality of Service (CLS) vertical handoff algorithm between WLANand cellular networks for seamless ubiquitous access. The CLS involves call blocking/dropping probabilities, meandata transfer rate, and number of handoff per call. Based on the above proposed admission strategy, the admissionregion of a cell or WLAN for the traffic can be derived with the function of new call arrival rate, handoff callarrival rate, and the radius of WLANs. The blocking and dropping probabilities are calculated under the guardchanneladmission strategy. The radius of WLAN is determined by using Simulated Annealing (SA) method to minimizethe cost function. Moreover, handoff traffic should be differentiated from new traffic in terms of call admission. When a Mobile Node (MN) moves from an area, with only cellular coverage to an overlaid WLAN area, theongoing call of the MN should be handed over to the WLAN, and handoff from WLAN to cellular network if theyleave the scope. The results based on a detailed performance evaluation study are presented here to demonstrate theefficacy of the proposed algorithm.

A Vertical Handoff Decision Algorithm Based on QoS Evaluation

In the next generation of heterogeneous wireless network environment, to meet the network requirements of diverse services ,we propose a vertical handoff decision algorithm based on QoS evaluation that refine the handover unit to services. The proposed algorithm consider the needs of the services、 network conditions、 user preferences and other factors, and makes Analytic Hierarchy Process (AHP) and cost function combine to choose the target network that is best meet the requirements of services . Comparing with the vertical handoff decision based on RSS, simulation results show that the proposed method can take full account of the different QoS requirements of various services types to choose the appropriate network, and would not cause performance degradation.

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.

Multi-criteria Vertical Handoff Decision Algorithm Using Hierarchy Modeling and Additive Weighting in an Integrated WiFi/WiMAX/UMTS Environment– A Case Study

Multi-criteria decision making (MCDM) algorithms play an important role in ensuring quality of service in an integrated HetNets (Heterogeneous Networks). The primary objective of this paper is to develop a multi-criteria vertical handoff decision algorithm (VHDA) for best access network selection in an integrated Wireless Local Area Network (WLAN)/ Universal Mobile Telecommunications System (UMTS)/ Worldwide Interoperability for Microwave Access (WiMAX) system. The proposed design consists of two parts, the first part is the evaluation of an Analytic Hierarchy Process (AHP) to decide the relative weights of handoff decision criteria and the second part computes the final score of the weights to rank network alternatives using Simple Additive Weighting (SAW). SAW ranks the network alternatives in a faster and simpler manner than AHP. The AHP-SAW mathematical model has been designed, evaluated and simulated for streaming video type of traffic. For other traffic type, such as conversational, background and interactive, only simulation results have been discussed and presented in brief. Simulation results reveal that the hierarchical modelling and computing provides optimum solution for access network selection in an integrated environment as obtained results prove to be an acceptable solution to what could be expected in real life scenarios.