Vertical Handover Management Scheme Research Articles

Mobility management on 5G Vehicular Cloud Computing systems

Fifth generation (5G) Vehicular Cloud Computing (VCC) systems use heterogeneous network access technologies to fulfill the requirements of modern services. Multiple services with different Quality of Service (QoS) constraints could be available in each vehicle, while at the same time, user requirements and provider policies must be addressed. Therefore, the design of efficient Vertical Handover (VHO) management schemes for 5G-VCC infrastructures is needed. In this paper, a novel VHO management scheme for 5G-VCC systems is proposed. Whenever the user satisfaction grade becomes less than a predefined threshold, VHO is initiated and network selection is performed, considering the velocity of the vehicle, network characteristic criteria such as throughput, delay, jitter and packet loss, as well as provider policy criteria such as service reliability, security and price. The proposed scheme uses linguistic values for VHO criteria attributes represented by Interval Valued Pentagonal Fuzzy Numbers (IVPFNs) to express the information using membership intervals. The VHO scheme is applied to a 5G-VCC system which includes 3GPP Long Term Evolution (LTE) and IEEE 802.16 Worldwide Interoperability for Microwave Access (WiMAX) Macrocells and Femtocells, as well as IEEE 802.11p Wireless Access for Vehicular Environment (WAVE) Road Side Units (RSUs). Performance evaluation shows that the suggested method ensures the Always Best Connection (ABC) principle, while at the same time outperforms existing VHO management schemes.

QoS Aware Predictive Radio Resource Management Approach Based on MIH Protocol

The vision of next-generation wireless networks is based on the heterogeneity of different types of radio access technologies such as LTE/LTE-Advanced, WiMax, and Wi-Fi to achieve the demand of high data rate and good quality of service (QoS) to support multimedia streaming at accuracy levels. As a significant key toward achieving this objective, vertical handover management schemes have been broadly treated in the literature. This later mechanism could be redefined as a process of reallocating resources as result of roaming user from one technology to another. Therefore, the addressed issue is not only how to ensure a seamless mobility and end-to-end QoS guarantee but also how to reassign resource when requested and use all offered capacity without underuse it or overuse it. In this context, we propose a new scheme that involves vertical handover process and resource control mechanism by explicitly using multiple challenges to achieve a load balancing among available radio access technologies in order to improve average system utilization. From the radio resource management point of view, our optimized vertical handover procedure has the three following phases: 1) resource allocation estimation; 2) radio resource allocation decision; and 3) radio resources allocation and allocation notification. Detailed simulation analysis illustrates that our scheme is not complex as well as its ability to provide good performance in terms of overall QoS satisfaction in the system.

Enabling multimedia aware vertical handover Management in Internet of Things based heterogeneous wireless networks

Enabling seamless connectivity in Internet of Things (IoT) based heterogeneous wireless networks and pervasive use of smartphones in daily life require high data speed and always-best-connected services. However, providing vertical handover management in heterogeneous wireless networks is a difficult and challenging task. Moreover, various issues are present in the current vertical handover management schemes such as inappropriate handover triggering, high handover delay, wrong network selection, etc. In order to address the aforementioned issues, we propose a generic vertical handover management scheme. Our research is twofold; firstly, the Mobile Node (MN) dynamically checks the data rate required by the applications running on the MN’s device. If the data rate drops below a predefined threshold, the MN initiates the handover. Secondly, the network selection is performed by considering various parameters such as end-to-end delay, jitter, Bit Error Rate, and packet loss. The Artificial Bee Colony (ABC) optimization algorithm uses the above parameters to select the target network with minimum handover delay and time. The proposed scheme is compared with the Simple Additive Weighting (SAW), Weighted Product Method (WPM), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Fuzzy TOPSIS in context of energy consumption, throughput, average MN’s stay time in a network, handover delay, and handover time. The experimental results show that the proposed vertical handover management scheme outperforms the existing schemes used for similar purpose.

Fuzzy based multi-criteria vertical handover decision modeling in heterogeneous wireless networks

Vertical handover gain significant importance due to the enhancements in mobility models by the Fourth Generation (4G) technologies. However, these enhancements are limited to specific scenarios and hence do not provide support for generic mobility. Similarly, various schemes are proposed based on these mobility models but most of them are suffered from the high packet loss, frequent handovers, too early and late handovers, inappropriate network selection, etc. To address these challenges, a generic vertical handover management scheme for heterogeneous wireless networks is proposed in this article. The proposed scheme works in three phases. In the first phase, a handover triggering approach is designed to identify the appropriate place for initiating handover based on the estimated coverage area of a WLAN access point or cellular base station. In the second phase, fuzzy rule based system is designed to eliminate the inappropriate networks before deciding an optimal network for handover. In the third phase, a network selection scheme is developed based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) decision mechanism. Various parameters such as delay, jitter, Bit Error Rate (BER), packet loss, communication cost, response time, and network load are considered for selecting an optimal network. The proposed scheme is tested in a mobility scenario with different speeds of a mobile node ranging from very low to very high. The simulation results are compared with the existing decision models used for network selection and handover triggering approaches. The proposed scheme outperforms these schemes in terms of energy consumption, handover delay and time, packet loss, good put, etc.

A Survey of Context Aware Vertical Handover Management Schemes in Heterogeneous Wireless Networks

Modern smartphones and wireless-enabled devices are equipped with a number of interfaces to access multiple networks in heterogeneous wireless networks. Seamless mobility between these networks can be achieved by optimizing parameters related with vertical handover management . This paper presents a detailed review of the recent schemes used for context-aware vertical handover management in heterogeneous wireless networks. In particular, we reviewed user-centric, network centric, and hybrid schemes, and compare them in context of throughput, packet loss ratio, and other advantages such as handover delay, cost, energy, and bandwidth optimization.

A Vertical Handover Management Scheme based on Decision Modelling in Heterogeneous Wireless Networks

ABSTRACTProviding a continuous connection in heterogeneous wireless networks is a challenging job. Traditional approaches are mainly concerned to specific scenarios. These approaches are also suffering from different problems like ping-pong effect, inappropriate handover triggering, etc. Therefore, to provide a generic connectivity in heterogeneous wireless networks, we proposed a vertical handover decision scheme. The proposed scheme performs handover triggering using simple additive weighting on the data rate of a point of attachment (PoA). The user calculates the data rate required by different applications and then compares it with a predefined threshold. Similarly, the network selection is performed using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) decision model on different parameters such as delay, jitter, bit error rate, packet loss ratio, communication cost, response time, and network load. The PoA of a network calculates its rank using TOPSIS and sends it to the user. The user then selects the network with the highest rank. The proposed vertical handover decision scheme is compared with grey relational analysis and analytical hierarchy process in the context of handover rate, failed handovers, packet loss ratio, and throughput. The proposed scheme is tested in different mobility scenarios, and it is shown that our scheme provides superior performance over the existing schemes.

Performance comparison of vertical handover strategies for psdr heterogeneous networks

In this article we suggest a vertical handover (VHO) solution able to optimize mobility management over heterogeneous networks in terms of handoff delay and signaling load. The presented strategy discriminates the best mobility protocol to be used based on a scheduling policy. It is specifically designed for an integrated network architecture to provide PSDR organizations using TETRA and TETRA2 systems with the capability to exploit WiFi and WiMAX broadband access technologies in order to enjoy advanced services. The article presents the operational scenarios where integration between TETRA and WiFi/WiMAX is needed and the main resulting benefits. Performances of the suggested VHO management scheme are described and evaluated against other protocol solutions.