Routing Algorithm Based on Delay Rate in Wireless Cognitive Radio Network

Abstract

To reduce the end-to-end average delay of algorithm in wireless network, this paper proposes the real-time routing algorithm in spectrum network. It is analyzed that the dynamic changes of the radio network model and routing algorithm in spectrum network. Through using Markov state transition and adjusting the router with scaling factor, the high-quality resources in the network can be obtained and fully utilized, and then these can reduce the transmission time latency rate and timely adjust the route. After that the tendency of spectrum network and specific real-time algorithm are given. Finally, by using the network simulation NS-2, simulation experiments are used to estimate the performance test. Experimental results show that compared with the traditional algorithm, the proposed algorithm can obtain a lower end-to-end average delay and improves network throughput and the steady and reliability of the link connection.

Discrete Poisson Noise Logging Image Repair Based on Schatten Matrix Operator

“…In order to verify the validity and the excellence of the algorithm proposed in this article, the contrast algorithms are set as follows: literature [12] is recorded as algorithm A and literature [13] is recorded as algorithm B. Corresponding result is obtained through MATLAB test.…”

Image Steganography in a Karhunen-Loeve Transform Optimization Model

“…According to Figure 7, we can find the directly proportional relationship between the compression times and the split size. In order to comprehensively verify the algorithm effect, the following control group is set this paper: the technology proposed in literature [13] is adopted to calculate the materials in literature [6]. The vector image verificatio n is specifically as shown in Figures 2(a), 3(a) and 4(a).…”

Environmental Friendly Enterprise Evaluation Method Based on Hierarchical Analysis and Neural Network

“…In MAS, when the Agent of limited resources encounters a task impossibly completed by its own, it has to interact and collaborate with other Agents in system to form a team to work together to undertake this task, and this team is called as coalition [1,2]. Coalition, as a topic of control theory at the forefront, has won widespread concern of scholars at home and abroad, and fruitful research results have been achieved in aspects, such as coalition structure generation [3,4], coalition formation [5,6], utility allocation [7,8] and so on. However, in some complex control and decision-making systems, the quality of coalition is directly related to the stand or fall of the completed task, and to the fact that formed coalition can really complete its mission in an efficient and successful manner, and that is, the real-time tracking and evaluation of current coalition work used for feedback of decision-making effect and for guidance of the subsequent tasks execution is an important issue to be considered [9].…”