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 Follower
 · 
246 Views
  • Source
    • "[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. "
    [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
  • Source
    • "The results show that the energy consumption for data transfer over UMTS can be up to three hundred times higher than over WLAN. The authors in [18] propose a network selection algorithm based on AHP and GRA which selects the best network between CDMA, WiBro, and WLAN. The authors consider a wide range of parameters: QoS (e.g., bandwidth, delay, jitter, and BER), the monetary cost, the Lifetime (transmission power, receiver power, and idle power) and user preferences. "
    [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; 59(2). DOI:10.1109/TBC.2013.2244790 · 2.65 Impact Factor
  • Source
    • "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. "
    [Show abstract] [Hide abstract]
    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.
    Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on; 01/2013
Show more

Preview

Download
6 Downloads
Available from