S-CDCA: A semi-cluster directive-congestion protocol for priority-based data in WSNs

Abstract

The internet of things (IoT) protocols and regulations are being developed for various applications includes: habitat monitoring, machinery control, general health-care, smart-homes and more. A great part of I0T comprised of sensors nodes in connected networks (i.e. sensor networks.). A sensor network is a group of nodes with sensory module and computational elements connected through network interfaces. The most interesting type of sensor networks are wireless sensor networks. The nodes here are connected through wirless interfaces. The shared medium between these nodes, creates different challenges. Congestion in such network is ineavitable. Different models and methods were proposed to alleviate congestion in wireless sensor networks. This paper presents a semi-cluster directive congestion method that allivate network congestion for priority-based data transmission. The methods improve the network performance by implementing temporary cluster for low level priority data packets while providing a clear link between high priority data source node and the network base station. Simulation results show that. The proposed method outperformes ad hoc on-demand distance vector (AODV) reactive procotol approach and priority-based congestion control dynamic clustering (PCCDC) a cluster-based method in network energy consumption and control packets overhead during network operation. The proposed method also shows comparative improvments in end-to-end delays versus PCCDC.