  This paper presents a novel Advanced Activity-Aware (AAA) scheme to optimize
and improve Multi-Channel Operations based on the IEEE 1609.4 standard in
wireless access vehicular environments (WAVE). The proposed scheme relies on
the awareness of the vehicular safety load to dynamically find an optimal setup
for switching between service channel intervals (SCHI) and control channel
intervals (CCHI). SCHI are chosen for non-critical applications (e.g.
infotainment), while CCHI are utilized for critical applications (e.g.
safety-related). We maximize the channel utilization without sacrificing other
application requirements such as latency and bandwidth. Our scheme is
implemented and evaluated network simulator-3 (NS3). We guarantee the default
Synchronization Interval (SI), like implemented by the standard in vehicular ad
hoc networks (VANETs), when tested on real-time simulations of vehicular cloud
(VC) load and VANET setups using NS3. We also evaluate a Markov Decision
Process (MDP) based scheme and a fast greedy heuristic to optimize the problem
of vehicular task placement with both IEEE 1609.4 and an opportunistic V2I
version of the proposed AAA scheme. Our solution offers the reward of the VC by
taking into account the overall utilization of the distributed virtualized VCs
resources and vehicular bag-of-tasks (BOTs) placements both sequentially and in
parallel. We present the simulation metrics proving that our proposed solution
significantly improve the throughput and decreases the average delay of
uploaded packets used for non-safety applications, while maintaining reliable
communication (via CCHI) for safety-related applications similar to the IEEE
1609.4 standard.
