Research And Implementation Of Cross-layer Design Simulation Platform On Wireless Mesh Network

Wireless Mesh Network is a kind of wireless self-organizing networks like Ad-hoc, usuallyused as a key part for wireless cover. Because of the characteristics of flexible structure andinstant deployment, Wireless Mesh Networks are widely applied in the field of industrial,military, agriculture and education and etc. Research on Wireless Mesh Network has becomeincreasingly hot in recent years. In the research of Wireless Mesh Network, the research onrouting algorithm is playing a key role to enhance the overall performance of the Wireless MeshNetwork. Existing routing protocols are still learning from wired network, calculate the routingtable only by hop count as a criterion parameter, which is unable to accurately reflect the statusof communication in Wireless Mesh Network and make quick adjustment when networkcondition changes.In this paper, we study the issue from collaborative projects from my laboratory and aninstitute," Research and Implementation of Cross-Layer Protocols based on Wireless MeshBackbone Network " and "Network Cognitive Restructuring Technology based on EnergyEquilibrium ". We mainly completed the realization of cross-layer design simulation platform onWireless Mesh Network and the research on cross-layer routing algorithm.Based on routing algorithm simulation platform NS-2, we conceive the idea of cross-layerdesign, add new cross-layer modules in view of the existing NS-2, modify the original modulesto provides cross-layer support, complete802.11protocol support in physical layer and linklayer for cross-layer simulation platform, and thus complete the simulation platform support forcross-layer design. In addition, the AFSLS routing algorithm is improved, with the cross-layerdesign. AFSLS will make path’s decision with the consideration of cross-layer informationparameters. We put more attention on energy optimization in AFSLS, complete the energyequilibrium of entire network, prolong the life of the entire network. At last, using thedeveloped cross-layer design simulation platform, we compare improved AFSLS algorithm withothers to prove the validity of the simulation platform and optimized energy performance of thealgorithm.