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 purpos
In future mobile networks, the ever-increasing loads imposed by mobile Internet traffic will force the network architecture to be changed from hierarchical to flat structure. Most of the existing mobility protocols are based on a centralized mobility anchor, which will process all control and data traffic. In the flat network architecture, however, the centralized mobility scheme has some limitations, such as unwanted traffic flowing into the core network, service degradation by a single point of failure, and increased operational costs, etc. This paper proposes mobility schemes for distributed mobility control in the flat network architecture. Based on the Proxy Mobile IPv6 (PMIP), which is a well-known mobility protocol, we propose the three mobility schemes: Signal-driven PMIP (S-PMIP), Data-driven Distributed PMIP (DD-PMIP), and Signal-driven Distributed PMIP (SD-PMIP). By numerical analysis, we show that the proposed distributed mobility schemes can give better performance than the existing centralized scheme in terms of the binding update and packet delivery costs, and that SD-PMIP provides the best performance among the proposed distributed schemes.
In Locator-Identifier Separation Protocol (LISP), the existing mobility control scheme is based on a centralized approach, in which the Map Server is used as a mobility anchor. However, such a centralized scheme has some limitations, including traffic overhead at central server, service degradation by a single point of failure, and larger handover delay. In this Letter, we propose a network-based distributed mobility control in localized mobile LISP networks. From numerical analysis, it is shown that the proposed distributed scheme can provide better performance than the existing centralized scheme in terms of the signaling loads for binding update/query and the handover delay.
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