Vertical Handoff Decision Scheme Research Articles

A vertical handoff decision scheme using subjective-objective weighting and grey relational analysis in cognitive heterogeneous networks

With the limitation and low utilization rate of spectrum resources, how to maintain the best continuous network connection for user while reducing the total number of handoff has become an urgent problem to be solved in the handoff decision of cognitive heterogeneous networks . Therefore, a cognitive heterogeneous network vertical handoff decision scheme combining subjective-objective weighting and grey relational analysis (GRA) is proposed. Firstly, an agent-based decision-making framework is proposed based on the review of relevant literature; secondly, the attributes weighting algorithm combining subjective-objective weighting is proposed; thirdly, the steps of analytic hierarchy process (AHP), entropy weighting method, and GRA method are analyzed in detail; then an example is given to analyze the proposed algorithm in single decision point, and the performance of the proposed algorithm is compared with that of three similar multi-attribute decision making (MADM) algorithms; lastly, some problems and challenges of the existing vertical handoff MADM decision-making algorithm are discussed, and the future research directions are proposed. Simulation results show that the proposed method is effective in reducing the total handoff number and ranking anomaly rate.

Intelligent vertical handoff decision strategy based on network performance prediction and consumer surplus value for next generation wireless networks

Vertical handoff (VHO) decision services play an essential role in the current wireless networks. Many algorithms designed aim at quality of service while granting seamless roaming amongst a number of heterogeneous access networks. In this study, the authors proposed an intelligent VHO decision strategy targeting to maximise user satisfaction without compromising on quality of service for non-real time mobile based services. The proposed strategy applies consumer surplus value (CSV)-based pricing scheme and also a prediction system to approximate network performances at various intervals. Finally, a fuzzy rule-based behavioral system is proposed to find optimal network by considering both CSV as well as network performance as stimulus parameters. Simulation is carried out using OM Net++ and MATLAB, and the results are acknowledged with discussion and analysis.

User preferences and expert opinions based vertical handoff decision strategy with the inclusion of cost parameter for 4G networks

User preferences and expert opinions based vertical handoff decision strategy with the inclusion of cost parameter for 4G networks

User preferences and expert opinions based vertical handoff decision strategy with the inclusion of cost parameter for 4G networks

Quick developments in the advancement of wireless technologies and also increasing mobile user demands require future wireless communication to be a cooperative working of heterogeneous systems with their reciprocal characteristics. Handoff decision is an all important issue in a heterogeneous environment. Vertical handoff considers many network criteria in order to select the optimum network. For this a smart approach is necessitated, so that the user can choose the most proficient network amidst the accessible systems based on the user preferences. This paper proposes a user preferences and expert opinions based vertical handoff decision model under the guidelines of the original analytical hierarchy process (AHP) but with the inclusion of cost parameter to make vertical handoff decision for a file downloading application, aiming to maximise user satisfaction. Simulation is carried out using OMNet++ framework and the results are acknowledged with discussion and analysis.

A fuzzy-based intelligent vertical handoff decision strategy with maximised user satisfaction for next generation communication networks

A vast diversity of services over the available radio access networks is assured by the next generation wireless systems for consumers with multi-homed cellular devices. Many consumer centric economic surplus-based vertical handoff schemes were already proposed intending to profit the end user. Few of these schemes estimate consumer surplus value with respect to the data transfer completion time assessed against the time constraints agreed by the user. In this paper, we suggested a vertical handoff decision strategy which promises maximised user satisfaction for consumer surplus value-based pricing schemes for non real time mobile-based multi-media services. A fuzzy rule-based system supported by multi criteria decision model is proposed to find optimum network between consumer surplus value and file download culmination time with the objective of maximising user satisfaction. Simulation is carried out using OM Net++ and MATLAB and the results are acknowledged with discussion and analysis.

Immune optimization algorithm for solving vertical handoff decision problem in heterogeneous wireless network

In heterogeneous wireless network environment, wireless local area network (WLAN) is usually deployed within the coverage of a cellular network to provide users with the convenience of seamless roaming among heterogeneous wireless access networks. Vertical handoffs between the WLAN and the cellular network maybe occur frequently. As for the vertical handoff performance, there is a critical requirement for developing algorithms for connection management and optimal resource allocation for seamless mobility. In this paper, we develop a mathematical model for vertical handoff decision problem, and propose a multi-objective optimization immune algorithm-based vertical handoff decision scheme. The proposed scheme can enable a wireless access network not only to balance the overall load among all base stations and access points but also maximize the collective battery lifetime of mobile terminals. Results based on a detailed performance evaluation study are also presented here to demonstrate the efficacy of the proposed scheme.

Simple harmonic oscillator immune optimization algorithm for solving vertical handoff decision problem in heterogeneous wireless network

In heterogeneous wireless network environment, wireless local area network (WLAN) are usually deployed within the coverage of a cellular network to provide users with the convenience of seamless roaming among heterogeneous wireless access networks. Vertical handoffs between the WLAN and the cellular network could occur frequently, with regard to vertical handoff performance, there is a critical need for developing algorithms for connection management and optimal resource allocation for seamless mobility. In this paper, we develop a mathematical model for vertical handoff decision problem, propose an artificial simple harmonic oscillator immune algorithm-based vertical handoff decision scheme, and perform the simulation experiments to validate proposed solution. Experimental result shows that the proposed solution, compared with literature solutions, can not only balance the overall load among all networks but also increase the collective battery lifetime of mobile terminals, and has the advantage of good application value.

Heterogeneous Wireless Networks: Configuration and Vertical Handoff Management

Vertical handoff is one of the most important issues for the next generation heterogeneous wireless networks. However, in many situations, unbeneficial vertical handoffs occur across intersystem heterogeneous networks cause network performance degradation. Therefore, we propose a novel configuration architecture that can be deployed in the next generation of wireless networks. Second, we propose a predictive and adaptive Vertical Handoff Decision Scheme that optimizes the handoff initiation time as well as selection of the most optimal network. The proposed vertical handoff decision algorithm considers the technology type as well as the Signal to Interference Ratio (SIR), the Mobile Station (MS) velocity, the user preferences, the applications requirements and the terminal capabilities as the most important factors to make vertical handoff decision. In order to minimize handoff costs, the proposed decision algorithm uses the dwell timer concept. The handoff costs are analyzed in terms of unnecessary and unbeneficial handoffs rate.The simulation results show that the reduction of unnecessary handoffs proposed in our vertical handoff decision scheme reduces the handoff blocking probability, the packets loss rate and the handoff overhead

A quality of service negotiation-based vertical handoff decision scheme in heterogeneous wireless systems

This paper introduces a novel vertical handoff decision scheme. The objective is to provide users with enhanced quality of service (QoS) and maximize the network revenue. This scheme balances both-side interests via a suitably defined network merit function and a user–operator negotiation model. The merit function evaluates network performance based on user preferences and decides the most appropriate network for users. The negotiation model is defined as a semi-Markov decision process (SMDP). An optimal policy that maximizes the network revenue without violating QoS constraints is found by resolving the SMDP problem using Q-learning. Furthermore, a time-adaptive QoS monitoring mechanism is combined with the merit function in order to decrease the power consumption on terminal interface activation. The simulation results demonstrate that the proposed vertical handoff decision scheme enhances the performance in terms of power consumption, handoff call-dropping probability (HCDP) and network revenue.