Abstract
A reliable transport protocol with prediction mechanism for urgent information (PMUI) in WSNs is proposed. With PMUI, which is based on RTP-UI, the congestion control mechanism is improved, and the priority control and prediction mechanisms are adopted by taking the current queue length with change rate and expected queue length with remaining length together into consideration. The congestion status of current queue is analyzed and the changing trend of the next cycle of the queue is predicted as well. In order to evaluate the degree of congestion, state machine is adopted. Working states of WSNs are classified into eight states in accordance with different degrees of congestion. According to the change rate of a queue and the expected change rate of a queue, different rate adjustment mechanisms and bandwidth allocation schemes based on different working states are developed. Simulation results show that PMUI is lower than RTP-UI in both packet loss rate and the average delay for reliable transmission of urgent information.
Highlights
A wireless sensor network (WSN) consists of numerous sensor nodes
When a node satisfies Condition 4, QLu is less than (1 − α)QLmax and the joint change rate of the queue is greater than Δ thr, indicating that an emergency occurs in the network, and the queue length of the node is rapidly increasing
Considering the characteristics of emergency information comprehensively, prediction mechanism and priority control mechanism are utilized in prediction mechanism for urgent information (PMUI)
Summary
A wireless sensor network (WSN) consists of numerous sensor nodes. These sensor nodes are self-organized by wireless communication and transfer surrounding environmental data to observers. In rate adjustment phase, mostly the original rate [10, 11] is adjusted to defer or reduce the amount of data flow into the network, so as to achieve the purpose of reducing congestion in traditional congestion control mechanisms As these congestion control mechanisms cannot model the process of event that occurs realistically, they cannot guarantee timely and reliable transmission of emergency information. The congestion control mechanism of RTP-UI is improved in PMUI It combines the prediction mechanism with the priority control mechanism and obtains eight different node working states through the comprehensive analysis of joint change rate of queue, joint queue length, expected queue length, and expected joint change rate of queue. Compared with RTP-UI, PMUI is able to accurately determine the current network congestion and timely adjusts node transmission rate by the way of analyzing probability of congestion in future by prediction mechanism
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
