Cross-layer inference-based fast link error recovery for MANETs

In traditional MANET MAC and routing protocols, if any link in a route fails, multiple fruitless attempts are made to use the failed link before reporting failure to the routing layer or attempting local recovery. The high frequency of link errors between mobile nodes requires rapid recovery in order to provide acceptable performance, especially for real-time applications. In this paper, we propose CIFLER, a cross-layer approach which uses enhanced channel reservation messages to allow alternate nodes to immediately elect themselves using only inferred neighbor information. This self-election avoids reliance on individual links and minimizes the impact frequent link errors have on delay, energy usage, and the function of upper layer protocols. We show via simulation that CIFLER provides better results in typical MANET scenarios. Unlike other local recovery schemes, CIFLER does not suffer from duplicated messages, allows new nodes to almost immediately learn the information needed to assist in the recovery of existing routes, and does not require additional hardware, delays, or control messages