# RDSP: Rapidly Deployable Wireless Ad Hoc System for Post-Disaster Management
## 2 Related Work
The E2 RP framework provides first responders, including civil engineers, a collaboration medium that enables them to actively respond to disasters. The framework also provides access to critical building information through the BBS. RFID tags are used to store building information which is accessible to first responders through the wireless adhoc network. The GIS is used to locate, collect, and distribute resources to first responders. In [21], a Geographic Information System (GIS)-based framework is proposed that facilitates equipment allocation during disasters. The proposed framework incorporates three subsystems to assist in information gathering and decision making. First, an application is developed that runs on mobile devices to request on-field resources. Second, a resource repository is deployed with a geospatial database that allows a graphical interface to spatially query resources. Additionally, a GIS is introduced that allows for automatic decision-making, such as matching resources and identifying routes for resource distribution. The proposed framework incorporates decision models into the system to assist complex decision-making during equipment delivery. In [22], the authors proposed a state-of-the-art technique for collecting data and extracting information to avoid disaster-related injury and post-event damage. A database repository based on GIS, called Extreme Events Database Viewer (EEWV), is being developed to store spatial and temporal data that defines communities before and after disasters. This web platform can store multiple geolocated data formats including photographs and 360\({}^{\circ}\) videos. A tool was designed to automatically extract photographs from 360\({}^{\circ}\) video data. Extracted images provide a manageable data set to efficiently document the characteristics of buildings and the surrounding environment. The propose system's main objective was to find buildings that were vulnerable to floods and storms. To this end, 1950 buildings were filmed passively with a 360\({}^{\circ}\) camera mounted on the vehicle. In order to train a deep learning neural network, these extracted building images were used by the neural network to determine whether a building was elevated or not. In [23], the authors proposed a Reliable Routing Technique (RRT) that ensures reliable data delivery towards the destination device, using mobile devices that are carried by moving people in the incident area. Each mobile device broadcasts the received message towards the destination by maintaining a priority list of probable forwarding candidates. The proposed RRT technique guarantees that the second priority candidate will forward the data packet to the destination device if the first priority candidate is unable to forward the data packet due to its mobility, thus ensuring the reliability of data delivery in the network. The concept of breadcrumbs is introduced by the authors in [26; 27; 28; 29]. Breadcrumbs are tiny and cost-efficient relay devices. Their only objective is to relay packets between edge nodes. Thus, in disaster scenarios, rescue team members carry several breadcrumb devices along with a mobile radio to communicate with command center via breadcrumb devices. Rescue team members must regularly drop breadcrumb devices as they explore the disaster area in order to retain end-to-end connectivity with the control server. The breadcrumb relays are dropped to create a static ad hoc network on demand. The command center retains contact with the rescue teams members via relays dropped by the rescue team to enlarge the coverage area. The breadcrumb approach guarantees reliable communication, offers an increased coverage area and eliminates the probability of network partitioning. Extensive research was carried out to address the problem of the decision of the deployment of breadcrumb. Each proposal describes its own deployment algorithms but they have various common features.