Signal threshold adaptation for vertical handoff in heterogeneous wireless networks

Mobile Networks and Applications (Impact Factor: 1.05). 08/2006; 11(4):625-640. DOI: 10.1007/s11036-006-7326-7
Source: DBLP


Abstract 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

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    • "Regarding the characterization of the VHO, in [28] Fang et al. deal with VHO issue in HWNs as a two-state Markov 14 model. Also in [29], a Markov model is introduced in order to analyze vertical handovers in overlay networks. "
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    ABSTRACT: In this paper we investigate the potentiality and the benefits of a soft Vertical Handover (VHO) mechanism, compared with the traditional hard approach. More specifically, we present an analytical scheme for seamless service continuity in a heterogeneous network environment, modeled by means of a multi-dimension Markov chain. The call blocking probabilities, as well as the soft and hard vertical handover probabilities, are computed for specific networks (i.e., UMTS and WLAN). We propose a soft/hard VHO technique working either as (i) a Mobile Controlled Handover, on the basis of a reward and cost model, which consider the data rate and the bandwidth allocation, or (ii) as a simple Network Controlled Handover scheme, by assuming a probabilistic approach as the handover decision metric. Simulation results validate the benefits of the proposed handover algorithm when operating in soft mode, which outperforms the traditional hard approach in terms of network performance and limitation of unwanted and unnecessary handovers. Finally, the effectiveness of the proposed approach is proven with respect to other single and multi-parameter VHO techniques, by extensive simulations.
    Ad Hoc Networks 03/2014; 14:51–70. DOI:10.1016/j.adhoc.2013.11.005 · 1.53 Impact Factor
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    • "While some authors only use RSS as an input parameter for the handoff decision process [10] [21], others combine the use of RSS with bandwidth information [22] [23] [24]. Using cost functions has been proposed earlier [14] [15] [16]. "
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    ABSTRACT: The increasing demand for real-time multimedia streaming from mobile users makes important deployment of network selection in wireless networks. Coexistence of various wireless access networks and ability of mobile terminals to switch between them make an optimal selection of serving mobile networks for groups of mobile clients a challenging problem. Since scalability can easily become a bottleneck in large-scale networks, we study the decision-making process and selection of the data that needs to be exchanged between different network components. In this paper, we present two decentralized solutions to this problem that we compare and evaluate in the OMNet++ simulation environment.
    International Journal on Advances in Networks and Services 12/2013; 6(3&4):118-135. · 24.70 Impact Factor
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    • ". These technologies have characteristics that perfectly complement each other [8]. Cellular networks, and 3G have significant advantages like wide coverage areas, full mobility, but offer a low bandwith connectivity. "
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    ABSTRACT: This paper investigates the integration of e-Health in Next Generation Networks. It provides a detailed model for an easy integration of e-Health services within the IP Multimedia Subsystem (IMS) with heterogeneous monitoring networks. We show how the IMS functionalities can be extended to fully support pervasive and context aware healthcare with third party application services.
    Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech), 2013 First International Symposium on; 07/2013
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