ICAFE: Intelligent Congestion Avoidance and Fast Emergency services

Abstract

Abstract Content Centric Network (CCN) has been envisioned as a paradigm shift from client server architecture. In smart cities, transportation plays an important role where integrated services facilitate citizens through the ease of use, safety, and convenience. In this work, we propose an integrated CCN for intelligent Congestion Avoidance and Fast Emergency (iCAFE) services delivery at road side accidents. One of the significant contributions is a novel content-centric VANET-based protocol called iCAFE, an efficient traffic control algorithm and five unique packet headers for effective communications. In case of accident, emergency packets are broadcast to RSU wherein the forwarding information based (FIB) and pending interest table (PIT) are updated accordingly. The RSU broadcasts interest packets to hospital and sends a rescue message to the ambulance. The RSU also informs nearest RSUs and vehicles to evacuate the affected lane. After the rescue process is completed, the data packet is unicast from the hospital to the RSU and the PIT and FIB are updated. iCAFE achieves a high packet delivery ratio (PDR) with minimum rescue delay (R-Delay), high throughput, minimum network load, smaller collision probability, and minimum packet drop fraction. The iCAFE results are compared with the traffic accidents reduction strategy (TARS).