Conference Paper

A Network Selection Algorithm considering Power Consumption in Hybrid Wireless Networks

Hanyang Univ., Seoul
DOI: 10.1109/ICCCN.2007.4317990 Conference: Computer Communications and Networks, 2007. ICCCN 2007. Proceedings of 16th International Conference on
Source: IEEE Xplore

ABSTRACT In this paper, we propose a novel network selection algorithm considering power consumption in hybrid wireless networks for vertical handover. CDMA, WiBro, WLAN networks are candidate networks for this selection algorithm. This algorithm is composed of the power consumption prediction algorithm and the final network selection algorithm. The power consumption prediction algorithm estimates the expected lifetime of the mobile station based on the current battery level, traffic class and power consumption for each network interface card of the mobile station. If the expected lifetime of the mobile station in a certain network is not long enough compared the handover delay, this particular network will be removed from the candidate network list, thereby preventing unnecessary handovers in the preprocessing procedure. On the other hand, the final network selection algorithm consists of AHP (analytic hierarchical process) and GRA (grey relational analysis). The global factors of the network selection structure are QoS, cost and lifetime. If user preference is lifetime, our selection algorithm selects the network that stays longer due to low power consumption. Also, we conduct some simulations using the OPNET simulation tool. The simulation results show that the proposed algorithm provides longer lifetime in the hybrid wireless network environment.

1 Bookmark
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The ever increasing demand for ubiquitous wireless connectivity and the inherently limited power resources at mobile devices highlight the need for an energy efficient operation of these devices. The paper addresses this need by means of an appropriate handover policy. According to it, a handover is initiated whenever the energy efficiency of the user equipment falls below a given threshold. The handover target is selected among the candidates so as to maximize the achievable energy efficiency. For networks employing Proportionally Fair access, it is shown that the achievable energy efficiency can be calculated by means of a simple expression, requiring only a limited amount of network and terminal status information. In particular, no network load status is required. Simulation results demonstrate that the proposed handover policy can lead to a significantly improved (up to 15%) energy efficiency without compromising throughput performance.
    European Wireless 2014; 05/2014
  • [Show abstract] [Hide abstract]
    ABSTRACT: The most challenging issue in heterogeneous radio access technologies (HRATs) is providing ubiquitous communication and enabling the users to use the best available network anywhere at anytime. To cope with this issue, network selection decision is intended to select the optimal available network in terms of quality of service (QoS) for mobile users. In this paper we propose network selection mechanism based on two multi attribute decision making (MADM) methods namely multiple analytic hierarchy process (M-AHP) and grey relational analysis (GRA) method. The M-AHP is used to weigh each criterion and GRA is used to rank the alternatives. Simulation results are presented to illustrate the effectiveness of our new mechanism for network selection.
    Wireless and Mobile Networking Conference (WMNC), 2013 6th Joint IFIP; 01/2013
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: User mobility, heterogeneity of networks and network technologies, variety of mobile devices (e.g., different operating systems, display size, CPU capabilities, battery limitations, etc.), and wide range of video-centric applications (e.g., video on demand, video games, live video streaming, video conferences, surveillance, etc.) open up the demand for user-centric solutions that adapt the video application to the underlying network conditions and device characteristics. Additionally, the absence of battery improvements suitable to meet the growing power requirements, and the need for green ICT, provide strong motivation for researchers to develop energy efficient techniques to manage and reduce power consumption in next-generation wireless networks, while still meeting high user quality expectations. In this context we propose Adapt-or-Handover, a hybrid multimedia delivery solution, which balances the benefits of multimedia content adaptation and of network selection in order to decrease power consumption in a heterogeneous wireless network environment. The proposed solution is analyzed and comparatively tested through simulations. The results show how by using Adapt-or-Handover the users benefit from up to 31% energy savings with insignificant degradation in quality, in comparison with other energy efficient solutions.
    IEEE Transactions on Broadcasting 06/2013; · 2.09 Impact Factor


Available from