Title :
Optimal Network Discovery Period for Energy-Efficient WLAN Offloading
Author :
Triantafyllopoulou, Dionysia ; Tao Guo ; Moessner, Klaus
Author_Institution :
Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
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.
Keywords :
cellular radio; wireless LAN; data transmission; energy consumption; energy efficiency; energy-efficient WLAN offloading; long-range cellular network; network detection delay; network discovery operation; network scanning period; optimal network discovery period; traffic offloading; vehicular scenario; wireless local area networks; Analytical models; Delays; Energy consumption; Energy efficiency; Mobile communication; Roads; Wireless LAN;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
DOI :
10.1109/VTCFall.2013.6692331