Md. Abdur RahmanReza GhasemAghaeiAbdulmotaleb El SaddikWail Gueaieb
In this paper, we propose multimedia-enabled improved adaptive routing (M-IAR) that is optimized for single-source-to- single-destination multimedia sensory data traffic. It is an extension of the improved adaptive routing (IAR) algorithm presented in our earlier work, in response to the increasing number of applications incorporating wireless multimedia sensors such as wireless microphones and cameras. M-IAR is a swarm-intelligent- based algorithm exploiting the concept of ant colony optimization to optimize end-to-end delay, jitter, latency, energy consumption, packet survival rate, and routing path, within the multimedia wireless sensor network. The presented algorithm is proven to satisfy its goals through a series of computer simulations.
S. S. IyengarHsiao‐Chun WuN. BalakrishnanShih Yu Chang
S. SelvakennedySuku SukunesanYi Shang
Jin Myoung KimHee Suk SeoJin Kwak