Research On The Transmission Mechanism Of QoS-aware IoT Fusion Data

In the Internet of Things(Io T),a variety of sensors with different functions deployed in the physical space.They send the collected large-scale multi-source sensing data from the target object to the fusion center for fusion processing,so as to support for Io T applications.As the premise of data fusion,real-time and reliable transmission of fusion data has an extremely important effect on the fusion result.However,data trans-mission in the context of data fusion in the Io T faces some challenges On the one hand,the characteristics of the data are diverse,and there are different requirements for Quality of Service(QoS)transmission.On the other hand,the fusion links share the transmission media and compete with each other.Uncoordinated link access behavior will increase the probability of channel access conflict,cause packet loss due to delay,and further worsen the results of data fusion.Aiming at the above two problems,we combined with the diversity characteristics of the fusion data and studied the transmission of the fusion data in the Io T under the constraints of QoS.The main contributions are as follows:(1)Considering that the fusion data with different characteristics have different QoS requirements for transmission,in order to provide QoS-aware differentiated services,we propose a dynamic priority allocation method for packets based on the difference in QoS requirements of the fusion data.According to the expiration time of the packet and the correlation of the data in the packet,and considering the historical state of transmission links,the priority is assigned to the packet.At the same time,a preemptive packet scheduling algorithm is proposed,so that packets with high time urgency and high value can be transmitted first in the same link.(2)The fusion links that interfere with each other share media,which will lead to transmission conflict.In order to coordinate the competition behavior between links and ensure the overall performance of data fusion,a distributed transmission scheduling strategy based on noncooperative game is proposed.In the framework of non-cooperative game,a new payoff "incentive" scheme is designed to increase the transmission opportunities of high-priority data by demanding lower transmission costs,thus reducing the impact of delayed packet loss on fusion results.(3)At the same time,a decentralized algorithm named NCG-CSMA is proposed.Each fusion link does not need to interact with each other and only needs to make independent decisions according to Nash equilibrium to obtain its own maximum benefits.Experimental results show that the proposed NCG-CSMA algorithm can achieve better real-time throughput and delay-guaranteed satisfaction.