Research On Self-organizing Routing For Cognitive Internet Of Things

Cognitive Internet of Things(CIo T) have the Internet of Things(Io T) inherent characteristics, such as huge network size, self-organization, high dynamic, CIo T paid more attention to the network characteristics of self-adaptive and self-optimization. Self-organization routing as one of the key technology, it largely determines the CIo T quality of service and communication performance. Therefore, how to deal with the complicated Qo S requirements of CIo T, design a stable, efficient, intelligent routing algorithm and corresponding routing optimization mechanism will be the research emphases and hotspot in the field of information transmission.This article is written for CIo T information transmission need to possess the characteristics of self-adaptive and self-optimization, depth studied self-organization routing technology, on this basis proposed the corresponding routing algorithm and optimization mechanism. Research work mainly includes the following contents:1. Analysis of existing related technologies, introduced the CIo T routing independent cognitive process and routing decision model, through discussing classic algorithms, analysis of the existing problems, raises the design meet the demand of CIo T Qo S routing algorithm is necessary.2. Proposed CIo T Qo S routing algorithm based on cooperative game theory. Combined with the Qo S requirements evaluate the path and compute nodes earnings, to obtain the optimal transmission path. Finally the effectiveness of the algorithm was validated by simulation.3. Proposed CIo T multi-domain collaborative dynamic incentive mechanism based on reputation. By objectively the compute nodes’ reputation motivate nodes forwarding packets, and using multi-domain cooperative to make its scope to rise to a higher level of network ecological environment. Finally, the simulation proved that it has better performance.