A new model of vehicular ad hoc networks based on artificial immune theory

Zhou, Yizhe; Peng, Depin

doi:10.1504/ijcse.2018.090475

Cited by 3 publications

(2 citation statements)

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“…The network and links are disconnected and reconnected frequently in this environment. The routing protocols of traditional wireless ad hoc networks are not suitable for working in opportunistic networks (Zhou and Peng, 2018). In recent years, research on the application of opportunity network routing protocols has been the focus of scholars at home and abroad (Zhang et al, 2014).…”

Section: Related Workmentioning

confidence: 99%

Research on network layout strategy of mobile opportunity perception in coal mines

Li¹,

Xu²

2020

IJCSE

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The underground coal mine monitoring system has high costs of large-scale application, the network is not easy to expand, and it is difficult to achieve complete coverage of coal mines. To solve these problems, this paper presents a new data acquisition and transmission method based on 'wired + wireless', 'A, B, C and D class mobile node'. The method, combining the existing wired network and wireless network in the coal mine, using sparse heterogeneous converged networks centred on opportunistic networks, analyses the composition, function, connection law and historical information of four types of node and the system structure. Experimental results show that this method can further realise the dynamic planning of the node interaction path. Then, it predicts and corrects the data of artificial mobile nodes and fixed interaction information in the next cycle. Finally, it achieves a powerful guarantee for internet of things, interaction of objects, intelligent perception, and intelligent processing in the mine safety management.

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Section: Related Workmentioning

confidence: 99%

Research on network layout strategy of mobile opportunity perception in coal mines

Li¹,

Xu²

2020

IJCSE

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“…The data transmission causes a major part of the network energy consumption in wireless sensor networks (WSNs) [1][2][3]. It depends on the quantity of the transmitted data in the network for the level of the data transmission energy consumption.…”

Section: Introductionmentioning

confidence: 99%

MR-DFM: A multi-path routing algorithm based on data fusion mechanism in sensor networks

Sun

Hou

et al. 2019

COMSIS J

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Sensor networks will always suffer from load imbalance, which causes bottlenecks to the communication links. In order to address this problem, a multi-path routing algorithm based on data-fusion-mechanism (MR-DFM) is proposed in this work. In this algorithm, the Mobile Sink controls the clustered energy consumption of the nodes in the event domain according to the delay messages relayed by the neighbor nodes. Meanwhile, the optimal neighbor node in the candidate set is obtained according to the data stream of the neighbor nodes to perform the relay of the data packets. It is shown via simulation results that the proposed MR-DFM algorithm shows obvious improvement according to the energy consumption of the network throughput of the sensing data and the throughput of the sensing data and each hop of the neighbor nodes. Therefore, it is verified that the proposed MR-DFM algorithm shows remarkable data fusion effects and optimizes the network resources.

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Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead

Ser

Osaba

Medina

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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A new model of vehicular ad hoc networks based on artificial immune theory

Cited by 3 publications

References 0 publications

Research on network layout strategy of mobile opportunity perception in coal mines

Research on network layout strategy of mobile opportunity perception in coal mines

MR-DFM: A multi-path routing algorithm based on data fusion mechanism in sensor networks

Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead

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