Cluster based Reliable Communication for 5G Network

Singh, Vivek Kumar; Samundiswary, P.; Sivasindhu, M.

doi:10.1109/iccsp.2019.8697903

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Networks with a greater than expected number of cellular hubs will have a greater fraction of nodes with high degree, and consequently the degree distribution will be enriched at high degree values. Regarding clustering, even though, there are a number of techniques used to attain better load, delay and throughput, as for example in WLANs (Wireless Local Area Networks) networks and 5G networks, the clustering of the nodes is considered as the best method, since it aims to reduce the delay and enhance the throughput as well as load and also increases the life span of the network [39]. Clustering is expected to dominate in 6G networks.…”

Section: Basic Concepts Of Complex Systemsmentioning

confidence: 99%

Complex Systems: A Communication Networks Perspective Towards 6G

et al. 2020

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Over the last few years, the analysis and modeling of networks as well as the analysis and modeling of networked dynamical systems, has attracted considerable interdisciplinary interest, especially using the complex systems theory. These efforts are driven by the fact that systems, as diverse as genetic networks or the Internet can be effectively described as complex networks. Contrary, despite the unprecedented evolution of technology, basic issues and fundamental principles related to the structural and evolutionary properties of communication networks still remain largely unaddressed. The situation is even more complicated when we attempt to model the mobile communication networks and especially the 5th generation (5G) and eventually the forthcoming 6th generation (6G). In this work, we attempt to review basic models of complex networks from a communication networks perspective, focusing on their structural and evolutionary properties. Based on this review we aim to reveal the models of complex networks, that may apply when modeling the 5G and 6G mobile communication networks. Furthermore, we expect to encourage the collaboration between complex systems and networking theorists toward meeting the challenging demands of 5G networks and beyond. INDEX TERMS Complex systems, complex networks, networked complex system, 5G, 6G, wireless communications, wireless networks, mobile communication networks, modeling.

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Section: Basic Concepts Of Complex Systemsmentioning

confidence: 99%

Complex Systems: A Communication Networks Perspective Towards 6G

et al. 2020

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“…Thus, high reliability has become an inevitable consequence for various controlled applications such as military, aircraft systems, and banking systems, where faults may cause financial and human life damages [3]. The network reliability requirement depends on the application and type of network such as wired network [4], wireless sensor network [5], mobile system [6], electrical distribution networks [7], and the electrical grid reliability assessment [8,9]. The network reliability is classified into three types according to the number of involved source-destination nodes.…”

Section: Introductionmentioning

confidence: 99%

Hybrid algorithm for two-terminal reliability evaluation in communication networks

Mahmood

Uçan

Zaidan

et al. 2021

IJEECS

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<span>Network reliability is valuable in establishing a survivable communication network. Reliability evaluation algorithms are used in the design stage and during the network deployment. This work presents a new multistage hybrid technique for two-terminal reliability evaluation problem. It is based on a combination of graph reduction techniques and tie-set method. A new approach has been introduced for deducing tie-sets in a network containing both unidirectional and bi-directional edges. The proposed algorithm can be applied for both simple and complex networks without restrictions. The results confirm that new algorithm evaluates network's reliability with decreasing computing time compared to classical algorithms. The results for a case study of a 20-node network have demonstrated that the required time for reliability evaluation is decreased from (t>1 hour) in the case of using a classical algorithm, to (t<1 second) for the new algorithm.</span>

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