T-SRP: TREE BASED STRENUOUS ROUTING PROTOCOL FOR CONGESTION AVOIDANCE IN IoT MEDICAL APPLICATION
Now a days, the Internet of Things (IoT) plays the vital role of transferring the data through network without any human interaction. The creation of an effective IoT exploits the Wireless Sensor Networks (WSN) in the communication process. Basically, the WSN comprises of many independent sensors which acquire the data on the basis of different conditions. Meanwhile, transmitting a huge number of data through the gateway will leads to the congestion avoidance this creates a time delay and transmission loss problems. Moreover, the lifetime of the network depends on power consumption of sensors deployed in WSN. The construction of an energy efficient WSN in accordance with the dynamic operating conditions is the focus with the automatic configuration and reconfiguration abilities. This paper proposes an efficient Tree based strenuous Routing protocol (T-SRP) for selecting an optimal gateway. Initially, the inclusion of graph theory-based routing tree model collects the neighbor information to compute the optimal path in order to reach the Base Station (BS). The hierarchical tree structure on the basis of dynamicity in cluster formation predicts the optimal path that reduces the number of connections effectively. The reduction in a number of connections decreases the amount of power spent on the system. The tree based algorithm performs the clustering of sensor nodes (SNs) from the graph modeling and the node lies in centroid position is regarded as the Cluster Head (CH). The em
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