Minimizing Radio Resource Usage for Machine-to-Machine Communications through Data-Centric Clustering

Hsieh, Hung‐Yun; Juan, Tzu-Chuan; Tsai, Yun-Da; Huang, Hong-Chen

doi:10.1109/tmc.2016.2528244

Cited by 16 publications

(4 citation statements)

References 34 publications

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“…However, inter-cluster interference becomes a bottleneck problem, particularly in single-radio-frequency systems. The authors of [ 29 ] divided M2M wireless communication interference into inter-cluster and intra-cluster interference and then employed a mixed integer nonlinear programming method to manage radio resources. The authors of [ 30 , 31 ] introduced an adaptive time-slot dynamic, self-management mechanism for increasing the inter-cluster interference; the simulation results verified the strategy.…”

Section: Related Workmentioning

confidence: 99%

Efficient Deployment of Key Nodes for Optimal Coverage of Industrial Mobile Wireless Networks

Dong

et al. 2018

Sensors

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In recent years, industrial wireless networks (IWNs) have been transformed by the introduction of mobile nodes, and they now offer increased extensibility, mobility, and flexibility. Nevertheless, mobile nodes pose efficiency and reliability challenges. Efficient node deployment and management of channel interference directly affect network system performance, particularly for key node placement in clustered wireless networks. This study analyzes this system model, considering both industrial properties of wireless networks and their mobility. Then, static and mobile node coverage problems are unified and simplified to target coverage problems. We propose a novel strategy for the deployment of clustered heads in grouped industrial mobile wireless networks (IMWNs) based on the improved maximal clique model and the iterative computation of new candidate cluster head positions. The maximal cliques are obtained via a double-layer Tabu search. Each cluster head updates its new position via an improved virtual force while moving with full coverage to find the minimal inter-cluster interference. Finally, we develop a simulation environment. The simulation results, based on a performance comparison, show the efficacy of the proposed strategies and their superiority over current approaches.

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Section: Related Workmentioning

confidence: 99%

Efficient Deployment of Key Nodes for Optimal Coverage of Industrial Mobile Wireless Networks

Dong

et al. 2018

Sensors

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“…Data clustering is an important research direction in data mining. It aims to divide data into categories consisting of similar objects by clustering data [3,4]. However, the association of real-time streaming big data is versatile and complex.…”

Section: Introductionmentioning

confidence: 99%

Controllable Clustering Algorithm for Associated Real-Time Streaming Big Data Based on Multi-Source Data Fusion

Cui

2022

Wireless Communications and Mobile Computing

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Aiming at the problems of poor security and clustering accuracy in current data clustering algorithms, a controllable clustering algorithm for real-time streaming big data based on multi-source data fusion is proposed. The FIR filter structure model is used to suppress network interference, and ant colony algorithm is used to detect the abnormal data in the big data. By optimizing the iteration, the pheromone concentration is placed in the front position as the abnormal data point, and the filter is introduced. The fusion scope of multi-source data fusion is set. Combined with the data similarity function, the multi-source data fusion concept is used to construct the associated real-time streaming big data fusion device, and the data deduplication results are substituted into the fusion device to obtain the data clustering result. The experiments show that the proposed algorithm has high safety factor, good data clustering accuracy, high clustering efficiency, and low energy consumption.

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“…Resource allocation is a promising approach for interference management [ 8 ]. However, as a result of the rapidly growing demand for services, radio resources are scarce [ 9 ]. Thus, not all communication links can be allocated to a resource without suffering interference in dense networks.…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost Resource Re-Allocation Scheme for Increasing the Number of Guaranteed Services in Resource-Limited Vehicular Networks

Meng

Yuan

et al. 2018

Sensors

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Vehicular networks are becoming increasingly dense due to expanding wireless services and platooning has been regarded as a promising technology to improve road capacity and on-road safety. Constrained by limited resources, not all communication links in platoons can be allocated to the resources without suffering interference. To guarantee the quality of service, it is required to determine the set of served services at which the scale of demand exceeds the capability of the network. To increase the number of guaranteed services, the resource allocation has to be adjusted to adapt to the dynamic environment of the vehicular network. However, resource re-allocation results in additional costs, including signal overhead and latency. To increase the number of guaranteed services at a low-cost in a resource-limited vehicular network, we propose a time dynamic optimization method that constrains the network re-allocation rate. To decrease the computational complexity, the time dynamic optimization problem is converted into a deterministic optimization problem using the Lyapunov optimization theory. The simulation indicates that the analytical results do approximate the reality, and that the proposed scheme results in a higher number of guaranteed services as compared to the results of a similar algorithm.

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Minimizing Radio Resource Usage for Machine-to-Machine Communications through Data-Centric Clustering

Cited by 16 publications

References 34 publications

Efficient Deployment of Key Nodes for Optimal Coverage of Industrial Mobile Wireless Networks

Efficient Deployment of Key Nodes for Optimal Coverage of Industrial Mobile Wireless Networks

Controllable Clustering Algorithm for Associated Real-Time Streaming Big Data Based on Multi-Source Data Fusion

A Low-Cost Resource Re-Allocation Scheme for Increasing the Number of Guaranteed Services in Resource-Limited Vehicular Networks

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