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


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.

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    • "Several studies have also investigated a cost-functionbased network selection approach, where the decision is based on monetary cost, power consumption, network conditions , and user preferences [6][7][8]. Other studies have considered the resource allocation problem for parallel transmission utilizing multiple RATs [9][10]. "
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    ABSTRACT: Rising numbers of mobile devices and wireless access technologies motivate network operators to leverage spectrum across multiple radio access networks, in order to significantly enhance quality of service as well as network capacity. However, there is a substantial need to develop innovative network selection mechanisms that consider energy efficiency while meeting application quality requirements. In this context, this paper proposes an efficient network selection mechanism over heterogeneous wireless networks. We consider different performance aspects, as well as network characteristics and application requirements, so as to obtain an efficient solution that grasps the conflicting nature of the various objectives and addresses this ultimate tradeoff. The proposed methodology advocates a user-centric approach toward the utilization of heterogeneous wireless networks to enhance system performance and support reliable connectiv-ity.
    Full-text · Conference Paper · Apr 2016
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    • "[12] also essentially deals with energy expenditure alone (expressed as remaining battery lifetime), despite the fact that the final network selection employs a weighted metric also capturing cost and QoS-related factors (treated as static quantities, of values equal to the nominal characteristics of the corresponding network technologies). None of the policies [8], [10], [12] consider the effects of background network load, or of access scheduling. "
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    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.
    Full-text · Conference Paper · May 2014
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    • "has the strongest RSSI. Existing energy-efficient handover methods [4] [5] [6] [7] [8] achieve energy savings either by minimizing the channel scanning time or by associating with the most energy-efficient AP according to the current traffic type. However, an energy-efficient handover scheme should include more local and network related parameters, such as the battery and the interface information, application-specific QoS requirements, user preferences, number of stations, channel utilization ratio per AP, and so on. "
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    ABSTRACT: Energy efficiency in wireless networks is one of the major issues for mobile devices since they rely on their batteries. In this context, the wireless network interface card (WNIC) has to be taken into account carefully as it consumes a significant portion of the overall system energy. In this paper, we aim to reduce the energy consumption of mobile devices in wireless networks by performing specific solutions, such as reducing the overhead of the periodic background channel scanning, keeping mobile stations in the doze state as much as possible, proposing a smart selective channel scanning during the handover preparation phase and associating with an access point (AP) that is expected to consume the least energy among all APs. Stations performing the proposed scheme can fairly coexist with the other stations in the network. In the proposed scheme, each station makes use of its local information and the information provided by the IEEE 802.21 information server (IS). The proposed scheme can be easily implemented without any changes on the current IEEE 802.11 standard. Performance of the proposed scheme was investigated by numerical analyses and extensive simulations. The results illustrate that the proposed scheme is very efficient and reduces the energy consumptions of mobile stations under a wide range of contention and signal strength levels.
    Full-text · Conference Paper · Sep 2013
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