Reliable Code Disseminations Through Opportunistic Communication in Vehicular Wireless Networks

Li, Ting; Xiong, Naixue; Gao, Jianliang; Song, Houbing; Liu, Anfeng; Cai, Zixing

doi:10.1109/access.2018.2870928

Cited by 18 publications

(12 citation statements)

References 51 publications

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“…Then, we evaluate the performance of our scheme when the four different game decision algorithms (i.e., the improved-a, the improved-b, the better response algorithm, and the best response algorithm) are employed in TOM-PAOD to adjust transmission power respectively. Figures 9,10,11,12,and 13 show that the performance change of TOM-PAOD with the number of UEs in the given region when the four different game decision algorithms are employed to adjust transmission power respectively, where the step size for power adjustment is set as 1 mW for the improved-a, the improved-b, and the better response algorithm.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

“…Furthermore, Cisco has predicted that there are 50 billions of small IoT devices by 2020, while Huawei even predicts that the figure will reach 100 billions by 2025 [8]. Such explosive growth for wireless access demand has been pushing academia and industry to explore new cellular architectures and paradigms [9][10][11] to improve network throughput on the basis of the limited frequency resources.…”

Section: Introductionmentioning

confidence: 99%

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Cellular throughput optimization by game-based power adjustment and outband D2D communication

Gui

Zhou

2018

J Wireless Com Network

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Device-to-device (D2D) communication is a promising option for the fifth generation (5G) mobile communication network to reduce energy consumption and increase throughput, which makes high throughput applications possible. Also, the improvement for energy and spectrum efficiency is critical in such applications. Without occupation of cellular spectrum resources, outband D2D communication is increasingly applied to high throughput applications to increase spectrum supply. However, energy efficiency is still a key issue that needs to be addressed. Moreover, the overall energy efficiency in cellular networks is severely limited by cell-edge devices. Therefore, in this paper, we apply multi-hop relay-aided outband D2D communication to cellular networks and propose a game-based power adjustment method to address throughput optimization problem. Firstly, we model an interaction relationship of power adjustment for each transmission path as a potential game, where a new utility function is designed for each player (i.e., the receiving end of a transmission path) to evaluate its action gain and to determine whether taking action or not. And then, it is proved that the utility function is an ordinal potential function (OPF) and the game of power adjustment is an ordinal potential game (OPG), which guarantees the convergence of game decision process. Moreover, we propose a new game decision algorithm, which has quicker convergence speed than the existing typical algorithm. In addition, we design a networkassisted distributed processing architecture for solving throughput optimization problem, including receiving mode selection, verification for relay selection, and transmission power adjustment, which can ease the burden of centralized processing. The experimental results show that our scheme is superior to the existing typical work in terms of throughput, delay, energy efficiency, continuous service ability, and convergence performance.

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Section: Simulation Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cellular throughput optimization by game-based power adjustment and outband D2D communication

Gui

Zhou

2018

J Wireless Com Network

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“…The second key issue is delay [33][34][35][36][37] for data collection of WSNs. In many WSNs, the decision to make requires gathering sufficient data.…”

Section: Introductionmentioning

confidence: 99%

A low redundancy data collection scheme to maximize lifetime using matrix completion technique

Tan

Liu

Xie

et al. 2019

J Wireless Com Network

Self Cite

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Sensor nodes equipped with various sensory devices can sense a wide range of information regarding human or things, thereby providing a foundation for Internet of Thing (IoT). Fast and energy-efficient data collection to the control center (CC) is of significance yet very challenging. To deal with this challenge, a low redundancy data collection (LRDC) scheme is proposed to reduce delay as well as energy consumption for monitoring network by using matrix completion technique. Due to the correlation of the location-dependent sensing data, some data without being collected can still be recovered by the matrix completion technology, thereby reducing the data amount for data collection and transmission, reducing the network energy consumption, and accelerating the process of data acquisition. Based on matrix completion technique, LRDC scheme can select only part of the nodes to sense data and transmit less data to CC. By doing so, the data collected by the network can be greatly reduced, which can effectively improve the network lifetime. In addition, LRDC scheme also proposes a method for quickly compensate sample data in cases of packet loss, whereby part of redundant data is sent in advance to the area closer to CC. If the data required for matrix completion is lost, these redundant data can be quickly obtained by CC, so the LRDC scheme has low delay characteristics. Simulation results demonstrate that LRDC scheme can achieve better performance than the traditional strategy, and it can reduce the maximum energy consumption of the network by 27.6-57.9% and reduce the delay by 0.7-17.9%.

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“…Obviously, it is required that lifetime should be as long as possible. However, one of the key characteristics of sensor node is that it is usually powered by battery and due to the constraints of manufacturing costs, it should be as small as possible, which also makes it easier for nodes to be deployed [ 25 , 26 , 27 ]. Under this circumstance, the volume of the batteries is small as well.…”

Section: Introductionmentioning

confidence: 99%

Minimizing Delay and Transmission Times with Long Lifetime in Code Dissemination Scheme for High Loss Ratio and Low Duty Cycle Wireless Sensor Networks

Wei

Liu

et al. 2018

Sensors

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Software defined networks brings greater flexibility to networks and therefore generates new vitality. Thanks to the ability to update soft code to sensor nodes, wireless sensor networks (WSNs) brings profound changes to Internet of Things. However, it is a challenging issue to minimize delay and transmission times and maintain long lifetime when broadcasting data packets in high loss ratio and low duty cycle WSNs. Although there have been some research concerning code dissemination, those schemes can only achieve a tradeoff between different performances, instead of optimizing all these important performances at the same time. Therefore, in this paper we propose a new strategy that can reduce delay and transmission times simultaneously. In traditional method, the broadcasting nature of wireless communication is not sufficiently utilized. By allowing sons of the same parent node to share awake slots, the broadcasting nature is well exploited and delay is thus reduced as well as transmission times with lifetime not affected. And, as we discover there is energy surplus when collecting data in area away from sink, we further improve this strategy so that all the performances can be further bettered. Compared with traditional method, the methods we design (IFAS, BTAS and AAPS) can respectively reduce delay by 20.56%, 31.59%, 55.16% and reduce transmission times by 29.53%, 43.93%, 42.04%, while not reducing lifetime.

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Reliable Code Disseminations Through Opportunistic Communication in Vehicular Wireless Networks

Cited by 18 publications

References 51 publications

Cellular throughput optimization by game-based power adjustment and outband D2D communication

Cellular throughput optimization by game-based power adjustment and outband D2D communication

A low redundancy data collection scheme to maximize lifetime using matrix completion technique

Minimizing Delay and Transmission Times with Long Lifetime in Code Dissemination Scheme for High Loss Ratio and Low Duty Cycle Wireless Sensor Networks

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