Cost-Effective Multi-Mode Offloading with peer-assisted communications

Komnios, Ioannis; Tsapeli, Fani; Gorinsky, Sergey

doi:10.1016/j.adhoc.2014.07.028

Cited by 21 publications

(11 citation statements)

References 30 publications

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“…ALARMS [28] is one of the message-scheduling approaches that uses message ferries to forward messages and achieve good QoS. This publication [29] gives a promising solution, namely, "Cost-Effective Multimode Offloading"( CEMMO), that offloads data to the best possible choice among the following three options to reduce the overall cost in terms of energy efficiency, financial settlement, and user satisfaction. Kessar et al [30] introduced the Always Best Connected (ABC) concept for always providing the best connectivity to all the applications.…”

Section: Related Workmentioning

confidence: 99%

Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities

Munjal

Liu

et al. 2022

Future Internet

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Smart cities use many smart devices to facilitate the well-being of society by different means. However, these smart devices create great challenges, such as energy consumption and carbon emissions. The proposed research lies in communication technologies to deal with big data-driven applications. Aiming at multiple sources of big data in a smart city, we propose a public transport-assisted data-dissemination system to utilize public transport as another communication medium, along with other networks, with the help of software-defined technology. Our main objective is to minimize energy consumption with the maximum delivery of data. A multi-attribute decision-making strategy is adopted for the selction of the best network among wired, wireless, and public transport networks, based upon users’ requirements and different services. Once public transport is selected as the best network, the Capacitated Vehicle Routing Problem (CVRP) will be implemented to offload data onto buses as per the maximum capacity of buses. For validation, the case of Auckland Transport is used to offload data onto buses for energy-efficient delay-tolerant data transmission. Experimental results show that buses can be utilized efficiently to deliver data as per their demands and consume 33% less energy in comparison to other networks.

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Section: Related Workmentioning

confidence: 99%

Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities

Munjal

Liu

et al. 2022

Future Internet

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“…MDs with more accumulated reward points can be helped with higher precedence when they need help. Multiple neighboring local MDs can communicate with each other through WiFi [45] or Bluetooth [46]. The network operator (e.g., BS) can gather sufficient D2D connectivity information through network-assisted device discovery and local information reporting by the devices [25].…”

Section: System Modelmentioning

confidence: 99%

Cooperative Offloading in D2D‐Enabled Three‐Tier MEC Networks for IoT

Zhang

Xiao

et al. 2021

Wireless Communications and Mobile Computing

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Mobile/multi-access edge computing (MEC) takes advantage of its proximity to end-users, which greatly reduces the transmission delay of task offloading compared to mobile cloud computing (MCC). Offloading computing tasks to edge servers with a certain amount of computing ability can also reduce the computing delay. Meanwhile, device-to-device (D2D) cooperation can help to process small-scale delay-sensitive tasks to further decrease the delay of tasks. But where to offload the computing tasks is a critical issue. In this article, we integrate MEC and D2D cooperation techniques to optimize the offloading decisions and resource allocation problem in D2D-enabled three-tier MEC networks for Internet of Things (IoT). Mobile devices (MDs), edge clouds, and central cloud data center (DC) make up these three-tier MEC networks. They cooperate with each other to finish the offloading tasks. Each task can be processed by MD itself or its neighboring MDs at device tier, by edge servers at edge tier, or by remote cloud servers at cloud tier. Under the maximum energy cost constraints, we formulate the cooperative offloading problem into a mixed-integer nonlinear problem aiming to minimize the total delay of tasks. We utilize the alternating direction method of multipliers (ADMM) to speed up the computing process. The proposed scheme decomposes the complicated problem into 3 smaller subproblems, which are solved in a parallel fashion. Finally, we compare our proposal with D2D and MEC networks in simulations. Numerical results validate that the proposed D2D-enabled MEC networks for IoT can significantly enhance the computing abilities and reduce the total delay of tasks.

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“…It is also noted that the proposed architecture can also serve the purpose of traffic offloading from cellular networks. End users can delegate the offloading of their non-critical data to an offline gateway, which will be responsible for their successful delivery, similarly to peer-assisted offloading [7]. In particular, the contributions of the paper can be summarized as follows:…”

Section: Introductionmentioning

confidence: 99%

A DTN-based architecture for public transport networks

Komnios

Kalogeiton

2015

Ann. Telecommun.

Self Cite

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Delay/disruption-tolerant networking has been exploited in a variety of communication scenarios to provide basic delay-tolerant Internet services. In this paper, we propose a delay/disruption-tolerant networking (DTN)-based architecture for dense urban environments that exploits the existing infrastructure of public transport networks to provide Internet services through applications that can withstand certain delays without significantly affecting user experience. To achieve data delivery within the delay tolerance threshold that each user defines, we couple the proposed architecture with the enhanced connectivity plan routing protocol (CARPOOL+) that includes smart mechanisms for route calculation. In particular, the proposed architecture exploits both scheduled and opportunistic contact opportunities and mitigates the impact of typical delays caused by traffic, road accidents, etc. Our simulation results show that the proposed architecture achieves high delivery ratio with low latency, even when significant delays occur. We also compare CARPOOL+ with the most well-known DTN routing solutions and show that CARPOOL+ achieves the highest delivery ratio with the lowest overhead.

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Cost-Effective Multi-Mode Offloading with peer-assisted communications

Cited by 21 publications

References 30 publications

Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities

Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities

Cooperative Offloading in D2D‐Enabled Three‐Tier MEC Networks for IoT

A DTN-based architecture for public transport networks

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