A context-aware cross-layer energy-efficient adaptive routing algorithm for WLAN communications
Ruiqi Ding, Gabriel‐Miro Muntean · 2012
Smart phones have gained great popularity all around the world, supporting rich media applications with Internet connectivity. Since increasing number of people own powerful mobile devices, ad-hoc WLANs can be deployed in public areas part of heterogeneous networks environments, as flexible and inexpensive alternatives to infrastructure-based approaches. However, these mobile devices are powered by battery with limited energy budgets, which introduces big energy-related challenges in ad-hoc WLAN routing algorithm design. This paper proposes a context-aware cross-layer energy-efficient adaptive routing algorithm for WLAN communications (AWERA) that performs energy-efficient context differentiated routing in wireless communications. It introduces a cross layer self-learning solution that monitors the context of device usage, and takes routing decisions based on current energy-oriented context. Compared with other state-of-the-art wireless routing protocols, simulation results show both better performance and energy efficiency context-based differentiation.