On the Characteristics of Next Generation for Redundant Clustered Reliable Data Transmission Scheme in Critical IoT Infrastructures

A wireless network composed of UAVs collaborating to upload data to the inter-net is known as a swarm of unmanned aerial vehicles (S-UAVs). UAVs are utilized extensively to convey important data during emergency situations like earthquakes or floods. Clustering, which divides the network into clusters with a cluster head (CH) and cluster members (CM), is one of the most dependable routing strategies in S-UAVs. A disconnected cluster and loss of data are the result of a damaged or non-functional CH, which is a topic that is rarely explored. This work proposes an improved multiple redundant routing strategy based on three weighted parameters: energy, rewarding, and propagation delay for reliable data transmission through ensuring a functional CH. This paper exclusively uses the coefficient of variation to set the weights used in the weighted calculation that generates a new parameter denoted as cluster index. Based on the cluster index, the nodes are selected as CH or CMs, thus forming the clusters. To decrease the probability of non-functional CH, we propose the cooperation of different types 1 of agents, which are vehicles and UAVs in our case. Having different types of agents will increase the system’s reliability, as the risk of non-functionality in a crisis scenario depends highly on the agent’s type. To ensure a functional CH, a redundant CH is selected to take over the routing duties to ensure connection stability. Every node has a redundant node selected which ensures that despite the number of non-functional nodes a functional CH still exists. MATLAB was used to simulate the suggested routing scheme. The outcomes showed that our suggested scheme holds promises for lowering overall latency and guaranteeing a functional CH, thus successful data delivery with minimal delays.