Extending recharging cycles of mobile devices with intelligent use of wireless interfaces

TY - CHAP

T1 - Extending recharging cycles of mobile devices with intelligent use of wireless interfaces

AU - Zhao, Bi

AU - Friderikos, Vasilis

PY - 2013/9

Y1 - 2013/9

N2 - The increased usage of smartphones and the rich ecosystem of Internet applications are having a severe effect on the recharging cycles of devices due to the increased levels of energy consumption and limitations of battery technology. As the infrastructure of hotspots for Wi-Fi and TVWS (TV White Space) interfaces have become ubiquitously available in urban areas, the energy usage in modern devices for transmitting a fixed amount of data could differ drastically due to the significant difference on the achievable data rates on these radios. As a result, techniques that can reduce the energy cost for Internet applications with emphasis on the client side would effectively increase the battery lifetime of digital devices. To this end, we introduce a strategy that deploy roadside infrastructure Wi-Fi Access Points (AP) and determine available spectrum (TVWS) at a given location to assist the data delivery for mobile devices according to corresponding on-line service features of mobile applications. In this framework, we incorporate a probabilistic analysis for spectrum availability and cell residence time of vehicle mobility. Numerical investigations reveal that the proposed set of schemes could increase the battery lifespans by up to 25%.

AB - The increased usage of smartphones and the rich ecosystem of Internet applications are having a severe effect on the recharging cycles of devices due to the increased levels of energy consumption and limitations of battery technology. As the infrastructure of hotspots for Wi-Fi and TVWS (TV White Space) interfaces have become ubiquitously available in urban areas, the energy usage in modern devices for transmitting a fixed amount of data could differ drastically due to the significant difference on the achievable data rates on these radios. As a result, techniques that can reduce the energy cost for Internet applications with emphasis on the client side would effectively increase the battery lifetime of digital devices. To this end, we introduce a strategy that deploy roadside infrastructure Wi-Fi Access Points (AP) and determine available spectrum (TVWS) at a given location to assist the data delivery for mobile devices according to corresponding on-line service features of mobile applications. In this framework, we incorporate a probabilistic analysis for spectrum availability and cell residence time of vehicle mobility. Numerical investigations reveal that the proposed set of schemes could increase the battery lifespans by up to 25%.

KW - Battery lifetime

KW - Cell residence time

KW - Cognitive networks

KW - Delay tolerant networking

UR - http://www.scopus.com/inward/record.url?scp=84893243148&partnerID=8YFLogxK

U2 - 10.1109/PIMRC.2013.6666511

DO - 10.1109/PIMRC.2013.6666511

M3 - Conference paper

AN - SCOPUS:84893243148

SN - 9781467362351

SP - 2213

EP - 2217

BT - Personal Indoor anMobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on

PB - IEEE

T2 - 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013

Y2 - 8 September 2013 through 11 September 2013

ER -