TY - GEN
T1 - Context severity based opportunistic service reprioritization for IEEE 802.11p VANETs
AU - Salahuddin, Mohammad A.
AU - Al-Fuqaha, Ala
AU - Jacquelin, Frederic
AU - Shim, Yohan
PY - 2013
Y1 - 2013
N2 - IEEE 802.11p Wireless Access for Vehicular Environments (WAVE) is the approved communication protocol for Vehicular Ad-hoc Networks (VANETs) and Intelligent Transportation System (ITS) applications. WAVE offers service differentiation by prioritizing packets based on an application's requested QoS. These priorities are static and do not account for network load or vehicle's context severity. In this paper, we propose a novel opportunistic service reprioritization (OSR) technique for IEEE 802.11p (WAVE). It dynamically promotes and/or demotes vehicle's load to different access categories, by taking into account the vehicle's context severity and network link layer bounds. We show the feasibility of our approach by formulating the opportunistic service reprioritization technique as a Linear Programming (LP) problem and solve it to guarantee optimal QoS with respect to severity for all access categories. We compare our opportunistic service reprioritization technique with WAVE and show significant improvement. The weighted average delay in OSR outperforms classical WAVE, on average by 90%.
AB - IEEE 802.11p Wireless Access for Vehicular Environments (WAVE) is the approved communication protocol for Vehicular Ad-hoc Networks (VANETs) and Intelligent Transportation System (ITS) applications. WAVE offers service differentiation by prioritizing packets based on an application's requested QoS. These priorities are static and do not account for network load or vehicle's context severity. In this paper, we propose a novel opportunistic service reprioritization (OSR) technique for IEEE 802.11p (WAVE). It dynamically promotes and/or demotes vehicle's load to different access categories, by taking into account the vehicle's context severity and network link layer bounds. We show the feasibility of our approach by formulating the opportunistic service reprioritization technique as a Linear Programming (LP) problem and solve it to guarantee optimal QoS with respect to severity for all access categories. We compare our opportunistic service reprioritization technique with WAVE and show significant improvement. The weighted average delay in OSR outperforms classical WAVE, on average by 90%.
KW - Context severity
KW - IEEE 802.11p
KW - Opportunistic service reprioritization
KW - Service differentiation
KW - VANETs
KW - Vehicular Ad hoc networks
KW - WAVE
KW - Wireless access in vehicular environment
UR - http://www.scopus.com/inward/record.url?scp=84883714053&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2013.6583799
DO - 10.1109/IWCMC.2013.6583799
M3 - Conference contribution
AN - SCOPUS:84883714053
SN - 9781467324793
T3 - 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
SP - 1623
EP - 1628
BT - 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
T2 - 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
Y2 - 1 July 2013 through 5 July 2013
ER -