Maximum Geographical Coverage Deployment of Ambulances using Genetic Algorithm

Most of the networks have one common problem, namely, to find the best locations to place the nodes. One solution to this is random deployment. This research work demonstrates how random deployment can be used to get the final coordinates of ambulances placement where the lifetime of network increases with maximum area coverage. Genetic Algorithm is reviewed to get the working criteria of it and after that it is implemented to get the result outcomes with roper analysis. The main concern of doing this research is to develop a technique that can provide the benefit to small network those cannot afford high costs to deploy the sensors. Main focus of this paper is on the deployment of 50 nodes only those would definitely be increased in future for hundreds of the nodes. In this research, nodes act as an ambulance those are required to deploy in a specific area to get the maximum coverage of area in the situation of an emergency.