Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge Computing

Chen, Xu; Pu, Lingjun; Gao, Lin; Wu, Weigang; Wu, Di

doi:10.1109/mwc.2017.1600321

Cited by 216 publications

(120 citation statements)

References 15 publications

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“…The tasks offloading problem plays a crucial role in the FC/EC research area and it has been widely considered in the recent literature with reference to different application scenarios . In particular, in the work of Pu et al, the Lyapunov optimization method is used to minimize the average energy consumption for the execution of all tasks.…”

Section: Related Workmentioning

confidence: 99%

A matching game for tasks offloading in integrated edge‐fog computing systems

Chiti

Fantacci

Picano

2019

Trans Emerging Tel Tech

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Edge and fog computing paradigms have recently emerged as promising approaches to overcome latency and network congestion drawbacks of the cloud network architecture alternative. In this direction, the paper deals with an integrated edge‐fog computing system to provide computational offloading capabilities to end‐devices by assuming that each task can be alternatively run locally at the end‐device site, offloaded to a nearby device through a direct communication link (ie, device‐to‐device) or to a more far and computational powerful node, ie, a fog node. In particular, the goal of this paper is to identify a suitable tasks allocation strategy in order to minimize both the system energy consumption and the worst overall task completion time. The related optimization problem is formulated here as a matching game with externalities with incomplete preferences lists between tasks and computation sites due to the fact that each end‐device can reach only a subset of the fog nodes of the integrated computing system. Furthermore, this paper pursuits the stability analysis of the outcome matching, and provides a post matching procedure to reach a stable final matching configuration. Finally, the good behavior of the proposed approach is validated by providing performance comparisons with different alternatives, namely a typical cloud approach architecture, potential game and other matching theory based approaches recently proposed in literature.

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Section: Related Workmentioning

confidence: 99%

A matching game for tasks offloading in integrated edge‐fog computing systems

Chiti

Fantacci

Picano

2019

Trans Emerging Tel Tech

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“…It means that there is least energy for transmitting bits per bit. The research of energy efficient communications, data recovery, and security on sensor network can also be found in edge network D2D communications [48][49][50][51].…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks

Teng

Liu

et al. 2018

Wireless Communications and Mobile Computing

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In wireless sensor networks (WSNs), many applications require a high reliability for the sensing data forwarding to sink. Due to the lossy nature of wireless channels, achieving reliable communication through multihop forwarding can be very challenging. Broadcast technology is an effective way to improve the communication reliability so that the data can be received by multiple receiver nodes. As long as the data of any one of the receiver nodes is transmitted to the sink, the data can be transmitted successfully. In this paper, a cross-layer optimization protocol named Adaptive transmission Power control based Reliable data Forwarding (APRF) scheme by using broadcast technology is proposed to improve the reliability of network and reduce communication delay. The main contributions of this paper are as follows: (1) for general data aggregation sensor networks, through the theoretical analysis, the energy consumption characteristics of the network are obtained. (2) According to the case that the energy consumption of nearsink area is high and that in far-sink area is low, a cross-layer optimization method is adopted, which can effectively improve the data communication by increasing the transmission power of the remaining energy nodes. (3) Since the reliability of communication is improved by increasing the transmission power of the node, the number of retransmissions of the data packet is reduced, so that the delay of the packet reaching the sink node is reduced. The theoretical and experimental results show that, applying APRF scheme under initial transmission power of 0 dBm, although the lifetime dropped by 13.77%, delay could be reduced by 40.37%, network reliability could be reduced by 10.08%, and volume of data arriving at sink increased by 10.08% compared with retransmission-only mechanism.

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“…Based on which kinds of frequency bands (namely, licensed bands and unlicensed bands) have been used for D2D transmission in past studies, D2D transmission can be divided into the following four categories: (1) D2D transmission using only licensed bands (such as that described in [11][12][13][14][15][16][17][18][19][20][21][22][23][24]); (2) D2D transmission using only unlicensed bands (such as that described in [11,[24][25][26][27][28][29][30][31]); (3) D2D transmission using either licensed or unlicensed bands in a selective manner (such as that described in [32,33]); and (4) D2D transmission using both the licensed and unlicensed bands simultaneously (such as that described in [34]). Regarding the first two categories, Asadi et al [11] presented a D2D communication survey and overview showing that the traffic loads and transmission delays encountered by BSs can be effectively ameliorated by D2D connections, with such connections simultaneously having the effects of increased system throughput and improved energy usage efficiency (which result, in turn, in reductions in the total amount of power expended by a network).…”

Section: Related Workmentioning

confidence: 99%

“…Meanwhile, an investigation into how changes in energy efficiency affect spectrum efficiency, and vice versa, in D2D-assisted cellular networks was conducted by Gao et al [21], while various other recent studies have explored new techniques for potentially enhancing system performance in D2D communication. For example, a device caching approach for the facilitation of content exchange through millimeter-wave D2D communication was proposed by Giatsoglou et al [22], while Chen et al [23] proposed a framework aimed at using D2D communications to leverage any massive crowd of devices at a network's edge in order to provide collaborative task execution in an energy-efficient manner. It is important to note, meanwhile, that all of these D2D-related studies looked at transmission over licensed bands.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Use of Licensed and Unlicensed Bands in D2D-Assisted Cellular Network Systems

Chung

2017

Energies

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Abstract:To date, the amount of research conducted regarding the subject of energy-efficient transmission in device-to-device (D2D)-assisted cellular network systems simultaneously utilizing both licensed and unlicensed bands is lacking. This topic is of substantial relevance to emerging 5th-generation (5G) cellular network systems, so the present study was conducted in order to address it in a practical manner. Specifically, this study proposes a simple yet effective algorithm aimed at ensuring efficient energy usage when such network systems make transmissions while utilizing both licensed and unlicensed bands. Based on novel system configurations with respect to bandwidth and link mode configurations, the proposed D2D-assisted transmission algorithm was designed with a system-level perspective in mind in order to yield greater efficiency in terms of transmission mode selection and link mode selection. As a result of these features, the proposed algorithm can not only maintain acceptable rates of transmission for all the connected users, but can also enhance system performance by a significant degree in terms of both energy efficiency and connection efficiency. Moreover, the results of simulations conducted to test the algorithm indicate that it is not only feasible, but, given its simple yet effective design, also easy to implement, such that it can serve as a valuable reference for the operators of 5G networks.

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Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge Computing

Cited by 216 publications

References 15 publications

A matching game for tasks offloading in integrated edge‐fog computing systems

A matching game for tasks offloading in integrated edge‐fog computing systems

Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks

Energy-Efficient Use of Licensed and Unlicensed Bands in D2D-Assisted Cellular Network Systems

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