Routing of Mobile Cognitive Radio Base Station for Disaster Recovery Networks

Disaster Recovery Network (DRN) is a very important network to minimize the number of victims, facilitate the evacuation, and informing the current post-disaster situation. This paper proposes the use of a Mobile Cognitive Radio Base Station (MCRBS) as the central station in the DRN. To perform maximum recovery network, MCRBS requires a routing algorithm by connecting various devices being active after the disaster occurrence to the MCRBS depending on the distance between devices and the received signal powers. MCRBS routing is designed to choose the shortest and reliable route for communications between victims, rescuer, and people in public safe area. We calculate the best possible routes based on threshold parameter and threshold of bit-error rate (BER). For successful implementation, the node position is assumed to be randomly spread in the area suffering from disaster. We found that the possible routes post-disaster increases when MCRBS is used as one of the node in the DRN. The results are expected to provide contributions in routing design for DRN as well as the estimate of optimal number of nodes and MCRBS to construct robust wireless DRN.