Optimal Network Discovery Period for Energy-Efficient WLAN Offloading

Triantafyllopoulou, D, Guo, T and Moessner, K (2013) Optimal Network Discovery Period for Energy-Efficient WLAN Offloading In: IEEE 78th Vehicular Technology Conference (VTC2013-Fall) 2013, 2013-09-02 - 2013-09-05, Las Vegas, NV, USA.

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Abstract

In this paper we present an analytical framework that aims to improve the energy efficiency of traffic offloading via Wireless Local Area Networks, taking into account the energy consumption for both data transmission and network discovery operations. More specifically, the network scanning period is optimized in order to minimize the energy consumption in a vehicular scenario where a user moves along a road covered by a long range cellular network and a number of randomly deployed Wireless Local Area Networks. The performance of the system that performs periodic network scanning with the optimal period is compared against a sub-optimal system that does not take into consideration the user and network context information when determining the network scanning period. According to performance evaluation results, the use of the optimal network scanning period achieves significant improvement in terms of energy consumption and network detection delay.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :	Name Email ORCID Triantafyllopoulou, D Guo, T Moessner, K
Date :	5 September 2013
DOI :	10.1109/VTCFall.2013.6692331
Additional Information :	© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User :	Symplectic Elements
Date Deposited :	18 Feb 2014 16:34
Last Modified :	31 Oct 2017 15:06
URI:	http://epubs.surrey.ac.uk/id/eprint/781601

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