D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D Collaboration

Pu, Lingjun; Chen, Xu; Xu, Jingdong; Fu, Xiaoming

doi:10.1109/jsac.2016.2624118

Cited by 354 publications

(180 citation statements)

References 32 publications

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“…In [36] it was proposed that in a fleet of cars, either one vehicle is appointed as the cloud controller, or all vehicles can act as the interface to the cloud networks. Similar proposals in the area of Mobile Device Clouds (MDC) can be found in [21][22] [33]. Work in [21] proposes a task offloading mechanism from a mobile device to a MDC consisting of a set of mobile devices.…”

Section: Related Work On Edge Devices Functionalitiesmentioning

confidence: 97%

“…From the point of view of task offloading (cf. [33]), two main trends may be highlighted in the research literature, mini-cloud based architectureswhere edge devices offload tasks to the mini-cloud (First and second rows)-, and collaborative architectures -where edge devices offload tasks to other edge devices (Fifth row). Thus, contributions in the third, forth and fifth rows assume edge devices execute external applications, hence edge devices may be considered as "truly smart devices".…”

Section: Related Work On Edge Devices Functionalitiesmentioning

confidence: 99%

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Do we all really know what a fog node is? Current trends towards an open definition

Marín‐Tordera

Masip-Bruin

García-Almiñana

et al. 2017

Computer Communications

108

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Abstract:Fog computing has emerged as a promising technology that can bring cloud applications closer to the physical IoT devices at the network edge. While it is widely known what cloud computing is, how data centers can build the cloud infrastructure and how applications can make use of this infrastructure, there is no common picture on what fog computing and particularly a fog node, as its main building block, really is. One of the first attempts to define a fog node was made by Cisco, qualifying a fog computing system as a "mini-cloud" located at the edge of the network and implemented through a variety of edge devices, interconnected by a variety, mostly wireless, communication technologies. Thus, a fog node would be the infrastructure implementing the said mini-cloud. Other proposals have their own definition of what a fog node is, usually in relation to a specific edge device, a specific use case or an application. In this paper, we first survey the state of the art in technologies for fog computing nodes, paying special attention to the contributions that analyze the role edge devices play in the fog node definition. We summarize and compare the concepts, lessons learned from their implementation, and end up showing how a conceptual framework is emerging towards a unifying fog node definition. We focus on core functionalities of a fog node as well as in the accompanying opportunities and challenges towards their practical realization in the near future.

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Section: Related Work On Edge Devices Functionalitiesmentioning

confidence: 97%

Section: Related Work On Edge Devices Functionalitiesmentioning

confidence: 99%

Do we all really know what a fog node is? Current trends towards an open definition

Marín‐Tordera

Masip-Bruin

García-Almiñana

et al. 2017

Computer Communications

108

View full text Add to dashboard Cite

show abstract

“…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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“…In fact, mobile storage was also expanded by leveraging clients' devices nearby-access. Pu [4] proposed Device-toDevice Fogging framework that schedules mobile tasks to available resources of mobile devices. An online computationally-efficient algorithm for mobile task offloading was also introduced that minimizes the energy consumption for task execution of all users.…”

Section: B On Effects Of Computation Service Ratementioning

confidence: 99%

“…Handling a large number of fog nodes, however, results in an excessive increase in transmission time for sending requests and receiving results. Other efforts focus on scheduling tasks for fog and cloud resources but they only considered costs and energy consumption [4][5][6][7]. Research on scheduling tasks on fog and cloud resources have not been well-established yet due to the lack of fog architecture that manages and allocates resources efficiently.…”

Section: Introductionmentioning

confidence: 99%

FBRC: Optimization of task Scheduling in Fog-Based Region and Cloud

Hoang

Dang

2017

2017 IEEE Trustcom/BigDataSE/Icess

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Abstract-Fog computing preserves benefits of cloud computing and is strategically positioned to address effectively many local and performance issues because its resources and specific services are virtualized and located at the edge of the customer premises. Resource management is a critical issue affecting system performance significantly. Due to the complex distribution and high mobility of fog devices, computation resources still experience high latencies in fog's large coverage area. This paper considers a Fog-based Region and Cloud (FBRC) in which requests are locally handled not just by a region but multiple regions when additional resources are needed. An efficient task scheduling mechanism is thus essential to minimize the completion time of tasks and improve user experiences. To this end, two issues are investigated in the paper: 1) designing a fog-based region architecture to provide nearby computing resources; 2) investigating efficient scheduling algorithms to distribute tasks among regions and remote clouds. To deal with the complexity of scheduling tasks, a heuristic-based algorithm is proposed based on our formulation and validated by extensive simulations.

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D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D Collaboration

Cited by 354 publications

References 32 publications

Do we all really know what a fog node is? Current trends towards an open definition

Do we all really know what a fog node is? Current trends towards an open definition

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

FBRC: Optimization of task Scheduling in Fog-Based Region and Cloud

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