A Game Theory Based Clustering Scheme (GCS) for 5G-based Smart Healthcare

Abstract

5G technology will play a significant role in the next-generation smart healthcare network. D2D communication, one the key enabling technology of 5G, makes use of devices in the vicinity for resources utilization, reducing latency, improving data rates and increasing system capacity. The integration of multi-hop and cellular networks not only delivers reliability and Quality of Service (QoS) but also make the network adaptable and flexible. In next-generation multi-hop cellular D2D networks, clustering and routing are presents significant challenges. Therefore, if the clustering and routing decisions are not appropriately implemented, multi-hop network performance can be worse as compared to the traditional network. This is because clustering and routing play a significant role to manage network fragmentation and dynamic network topology, which are not present in a traditional cellular network. In this paper, we propose a clustering scheme based on game theory (i.e., mixed strategy) to select optimal cluster heads (CHs) and transmit data from a cluster head (CH) to base station (BS). The simulation results show that our proposed scheme is better than LEACH protocol in terms of a network lifetime and energy consumption. We used MATLAB environment to simulate our proposed scheme and compared with LEACH protocol.