A NOVEL K-MEDOID CLUSTERING SCHEME IN VANETs
Budget: ₹1,500 – ₹12,500 INR
Cluster stability is one of the Quality of Constraints (QoS) that determines the efficacy of proposed clustering approach. Here, there are two entities, namely, cluster head and the cluster member. Cluster head is responsible for data transmission and route computing in its cluster. Therefore, a novel k-medoid clustering scheme is designed to select an efficient cluster head. Each cluster data point denotes one of the data points in the current VANET region, and these points are labelled as ‘cluster medoids’. The proposed k- medoid clustering scheme helps to select the efficient cluster head and thus, the clusters are also created. This project should be implemented in NS-2.
Related categories:
Scientific Research
Wireless Sensors
Simulation
Academic Research
Network Monitoring