QoS multicast routing in cognitive radio ad hoc networks

Xie, Lihua; Jia, Xiaohua; Zhou, Kai

doi:10.1002/dac.1285

Cited by 49 publications

(26 citation statements)

References 27 publications

(53 reference statements)

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“…Based on our method, several future works can be done for AANET. First, design of routing protocols: Although the routing protocols of mobile ad hoc networks have already been deeply discussed in [18][19][20], we believe that the one based on our method may have some advantages. As we can pre-calculate the connectivity probability between a base station and a plane at each location along its airline before the plane taking off, it can be easily decided that planes on which airline are best for data transmission when the plane is at a location where several…”

Section: Resultsmentioning

confidence: 99%

A Novel Method to Predict Connectivity Probability of a Plane in Multi-Airline AANET

Liu

Zeng

Wang

et al. 2016

IJFGCN

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Section: Resultsmentioning

confidence: 99%

A Novel Method to Predict Connectivity Probability of a Plane in Multi-Airline AANET

Liu

Zeng

Wang

et al. 2016

IJFGCN

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“…In [23], two methods are proposed to find a multicast tree with the minimum bandwidth consumption for a QoS multicast request in cognitive radio ad hoc networks. The first method has two phases.…”

Section: Qos Multicast Routingmentioning

confidence: 99%

QoS multicast routing protocol oriented to cognitive network using competitive coevolutionary algorithm

Wang

Cheng

Huang

2014

Expert Systems with Applications

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Abstract:The human intervention in the network management and maintenance should be reduced to alleviate the ever-increasing spatial and temporal complexity. By mimicking the cognitive behaviours of human being, the cognitive network improves the scalability, self-adaptation, self-organization, and self-protection in the network. To implement the cognitive network, the cognitive behaviours for the network nodes need to be carefully designed. Quality of service (QoS) multicast is an important network problem. Therefore, it is appealing to develop an effective QoS multicast routing protocol oriented to cognitive network.In this paper, we design the cognitive behaviours summarized in the cognitive science for the network nodes. Based on the cognitive behaviours, we propose a QoS multicast routing protocol oriented to cognitive network, named as CogMRT. It is a distributed protocol where each node only maintains local information. The routing search is in a hop by hop way. Inspired by the small-world phenomenon, the cognitive behaviours help to accumulate the experiential route information. Since the QoS multicast routing is a typical combinatorial optimization problem and it is proved to be NP-Complete, we have applied the competitive coevolutionary algorithm (CCA) for the multicast tree construction. The CCA adopts novel encoding method and genetic operations which leverage the characteristics of the problem. We implement and evaluate CogMRT and other two promising alternative protocols in NS2 platform. The results show that CogMRT has remarkable advantages over the counterpart traditional protocols by exploiting the cognitive favours.

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“…viscosity [8,9]. In this process, we should also maximize the use of our own massive resources, and then get the maximum viewing rate and economic value.…”

mentioning

confidence: 99%

Research on Latent Semantic Model and user model-based video recommendation Algorithm

Yang¹,

Lin

2017

Advances in Computer Science Research

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Abstract. The rapid progress of Internet technology brings new opportunities for the development of science and technology, and the emerging network video technology is gradually penetrated into people's daily life. Due to the rapid development, the plentiful video contents also make everyone dazzling, at the same time, the video users with multiple geometric growth also make the network video operators not know what to do, and the fundamental technology to solve this problem is video recommendation technology. This paper presents an algorithm combined with the neighborhood latent semantic model, the new model retains the characteristics of recommended explanation in neighborhood algorithm, and expands based on implicit feedback information of users, which has further improved the recommendation efficiency. The new model adopts the field method of User-CF, this paper will compare the operational effects of basis latent semantic and the latent semantic fusing User-CF neighborhood mode to achieve the purpose of simulation.

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QoS multicast routing in cognitive radio ad hoc networks

Cited by 49 publications

References 27 publications

A Novel Method to Predict Connectivity Probability of a Plane in Multi-Airline AANET

A Novel Method to Predict Connectivity Probability of a Plane in Multi-Airline AANET

QoS multicast routing protocol oriented to cognitive network using competitive coevolutionary algorithm

Research on Latent Semantic Model and user model-based video recommendation Algorithm

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