Abstract
Cross-layer optimization based on maximizing the utility of network robot 5G multimedia sensor network is a systematic method for cross-layer design of wireless networks. It abstracts the functional and performance requirements of the layers in the protocol stack into objective functions and constraints in mathematical optimization problems. In this article, the cross-layer optimization problem of wireless Mesh networks using multi-radio interface multi-channel technology is studied. The optimization problem is modelled based on the network utility maximization method, and the corresponding algorithm is proposed. Based on the random network utility maximization method, the cross-layer optimization model of network robot 5G multimedia sensor network is established. Aiming at the time-varying randomness of random data flow and wireless propagation environment in network robot 5G multimedia sensor network, a model of joint congestion control and power control based on chance constrained programming is proposed, and its genetic algorithm is used to verify it. Reforming research will help speed up the practical pace of the field, with certain theoretical forward-looking and practical value.
Highlights
Multimedia sensor networks (MSNs) are distributed sensing networks consisting of a set of multimedia sensing nodes with computing, storage and communication capabilities.[1,2,3] It uses the multimedia sensor on the node to sense the various media information of the surrounding environment and transmits the data to the information aggregation centre through the multi-hop relay method
Aiming at the time-varying randomness of random data flow and wireless propagation environment in network robot 5G MSN, a model of joint congestion control and power control based on chance constrained programming is proposed, and its genetic algorithm is used to verify it
According to the perspective of network optimization, many existing network protocols can be regarded as a distributed solution to solve some form of network utility maximization problem, which has been fully obtained in the reverse engineering of transfer control protocol (TCP) protocol
Summary
Multimedia sensor networks (MSNs) are distributed sensing networks consisting of a set of multimedia sensing nodes with computing, storage and communication capabilities.[1,2,3] It uses the multimedia sensor on the node to sense the various media (audio, video, image, numerical value, etc.) information of the surrounding environment and transmits the data to the information aggregation centre through the multi-hop relay method. Keywords Network robot, 5G multimedia sensor, cross-layer design, optimization algorithm The optimization problem is modelled based on the network utility maximization method, and the corresponding algorithm is proposed. Based on the random network utility maximization method, the cross-layer optimization model of network robot 5G MSN is established.
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