Energy efficient network selection and seamless handovers in Mixed Networks

Liu, Huaiyu; Maciocco, Christian; Kesavan, Vijay; Low, A.L.Y.

doi:10.1109/wowmom.2009.5282451

Cited by 32 publications

(16 citation statements)

References 5 publications

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“…Selecting the most energy efficient network to prolong the lifetime of the mobile device was addressed in [132], [133], [134], [135], [136] as well. Petander et al [132] propose the use of traffic estimation of an Android mobile device in order to select between UMTS/HSDPA and WLAN.…”

Section: B Energy Efficient Network Selection Solutionsmentioning

confidence: 99%

“…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. In [135] Liu et al use a SAW function of available bandwidth, monetary cost, and power consumption to select between WiFi, WiMAX, and 3G. Whereas in [134]the authors make use of TOPSIS to solve the multi criteria (available bandwidth, RSS, velocity, load rate, and power consumption) problem and select between 802.11a, 802.11b, and UMTS networks.…”

Section: B Energy Efficient Network Selection Solutionsmentioning

confidence: 99%

See 1 more Smart Citation

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Trestian

Comşa

Tüysüz

2018

IEEE Commun. Surv. Tutorials

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Copyright and moral rights to this work are retained by the author and/or other copyright owners unless otherwise stated. The work is supplied on the understanding that any use for commercial gain is strictly forbidden. A copy may be downloaded for personal, non-commercial, research or study without prior permission and without charge.Works, including theses and research projects, may not be reproduced in any format or medium, or extensive quotations taken from them, or their content changed in any way, without first obtaining permission in writing from the copyright holder(s). They may not be sold or exploited commercially in any format or medium without the prior written permission of the copyright holder(s).Full bibliographic details must be given when referring to, or quoting from full items including the author's name, the title of the work, publication details where relevant (place, publisher, date), pagination, and for theses or dissertations the awarding institution, the degree type awarded, and the date of the award.If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Middlesex University via the following email address:eprints@mdx.ac.ukThe item will be removed from the repository while any claim is being investigated. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Abstract-The increasing popularity of live video streaming from mobile devices such as Facebook Live, Instagram Stories, Snapchat, etc. pressurises the network operators to increase the capacity of their networks. However, a simple increase in system capacity will not be enough without considering the provisioning of Quality of Experience (QoE) as the basis for network control, customer loyalty and retention rate and thus increase in network operators revenue. As QoE is gaining strong momentum especially with increasing users' quality expectations, the focus is now on proposing innovative solutions to enable QoE when delivering video content over heterogeneous wireless networks. In this context, this paper presents an overview of multimedia delivery solutions, identifies the problems and provides a comprehensive classification of related state-of-theart approaches following three key directions: adaptation, energy efficiency and multipath content delivery. Discussions, challenges and open issues on the seamless multimedia provisioning faced by the current and next generation of wireless networks are also provided.

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Section: B Energy Efficient Network Selection Solutionsmentioning

confidence: 99%

Section: B Energy Efficient Network Selection Solutionsmentioning

confidence: 99%

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Trestian

Comşa

Tüysüz

2018

IEEE Commun. Surv. Tutorials

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“…In terms of EE, there are some studies in the literature that focus on mobile devices EE, due to the limited source of energy provided by the battery in such devices. Most notably, in [21], the authors propose a network selection scheme, which optimizes the energy efficiency of mobile devices, with the use of a cost function in a multi-RAT environment that consists of WiFi, WiMax, and 3G networks. An energy-efficient adaptive wireless network interface-selection algorithm is proposed in [22] for mobile devices that are equipped with both 3G and WiFi network interfaces.…”

Section: Related Workmentioning

confidence: 99%

Adaptive stochastic radio access selection scheme for cellular‐WLAN heterogeneous communication systems

et al. 2016

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This paper proposes a novel Adaptive Stochastic Radio Access Selection (ASRAS) scheme for mobile users in heterogeneous Cellular-WLAN systems. In this scheme, a mobile user located in dual coverage area randomly selects WLAN with probability of ω when there is a need for downloading a chunk of data. The value of ω is optimised according to the status of both networks in terms of network load and signal quality of both cellular and WLAN networks. An analytical model, based on Continuous Time Markov Chain (CTMC) is proposed to optimise the value of ω and compute the performance of proposed scheme in terms of energy efficiency, throughput, and call blocking probability. Both analytical and simulation results demonstrate the superiority of the proposed scheme compared to the mainstream network selection schemes, namely, WLAN-first and Load Balancing.

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“…On the other hand, as the number of available networks increased, additional factors such as monetary cost, network conditions, offered services, required energy to operate in a network, user, system conditions and operator's choices were also taken into consideration. Researchers have made use of a cost function to perform an optimal network selection using information provided by IEEE and 3GPP standards [1]. These days a range of wireless access technologies exists concurrently and constitute a complicated heterogeneous networks environment.…”

Section: Related Workmentioning

confidence: 99%

Optimal Network Selection in Heterogeneous Wireless Environment for Multimedia Services

Ahuja

Singh

Khanna

2015

Wireless Pers Commun

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In wireless communication, new radio access technologies are emerging, capable of supporting larger coverage area and faster data rates. In a wireless heterogeneous environment consisting of disparate radio access technologies, selection of the best network is an important research issue. In this paper, we propose a novel network selection algorithm for a heterogeneous environment consisting of WiMAX and LTE standard. The proposed algorithm is based on received signal strength, signal to noise ratio, available bit rate, achievable throughput and bit error rate. Relative weights of the decision making attributes are optimized by employing particle swarm optimization approach. The number of satisfied users calculated (as per their demand with wireless network selected) by proposed algorithm is optimized by modified PSO and confirmed by Monte Carlo method. From the simulation results it is inferred that the number satisfied users while running multimedia applications has been improved by 50 % as compared to the existing network selection algorithms.

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Energy efficient network selection and seamless handovers in Mixed Networks

Cited by 32 publications

References 5 publications

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Adaptive stochastic radio access selection scheme for cellular‐WLAN heterogeneous communication systems

Optimal Network Selection in Heterogeneous Wireless Environment for Multimedia Services

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