Energy-Aware Dynamic Computation Offloading in High-Speed Railway Networks with D-TDD

High-speed railways have been developing quickly in recent years and have become a main travel mode between cities in many countries, especially China. Studying passengers’ travel choices on high-speed railway networks can aid the design of efficient operations and schedule plans. The Tong and Richardson algorithm that is used in this model offers a promising method for finding the optimal path in a schedule-based transit network. However, three aspects of this algorithm limit its application to high-speed railway networks. First, these networks have more complicated common line problems than other transit networks. Without a proper treatment, the optimal paths cannot be found. Second, nonadditive fares are important factors in considering travel choices. Incorporating these factors increases the searching time; improvement in this area is desirable. Third, as high-speed railways have low-frequency running patterns, their passengers may prefer to wait at home or at the office instead of at the station. Thus, consideration of a waiting penalty is needed. This paper suggests three extensions to improve the treatments of these three aspects, and three examples are presented to illustrate the applications of these extensions. The improved algorithm can also be used for other transit systems.

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When High-Speed Railway Networks Meet Multipath TCP: Supporting Dependable Communications

IEEE Wireless Communications Letters ◽

10.1109/lwc.2019.2948163 ◽

2020 ◽

Vol 9 (2) ◽

pp. 202-205 ◽

Cited By ~ 2

Author(s):

Jianpeng Xu ◽

Bo Ai ◽

Liangyu Chen ◽

Li Pei ◽

Yujian Li ◽

...

Keyword(s):

High Speed ◽

High Speed Railway ◽

Multipath Tcp ◽

Railway Networks

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Development of Energy-aware Mobile Applications Based on Resource Outsourcing

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194014500399 ◽

2014 ◽

Vol 24 (08) ◽

pp. 1225-1243 ◽

Cited By ~ 2

Author(s):

Byoung-Dai Lee ◽

Kwang-Ho Lim ◽

Namgi Kim

Keyword(s):

Mobile Applications ◽

High Speed ◽

Energy Savings ◽

Computation Offloading ◽

Energy Aware ◽

Management Techniques ◽

Runtime Infrastructure ◽

Critical Requirement ◽

Efficient Power

Smart connected devices such as smartphones and tablets are battery-operated to facilitate their mobility. Therefore, low power consumption is a critical requirement for mobile hardware and for the software designed for such devices. In addition to efficient power management techniques and new battery technologies based on nanomaterials, cloud computing has emerged as a promising technique for reducing energy consumption as well as augmenting the computational and memory capabilities of mobile devices. In this study, we designed and implemented a framework that allows for the energy-efficient execution of mobile applications by partially offloading the workload of a mobile device onto a resourceful cloud. This framework comprises a development toolkit, which facilitates the development of mobile applications capable of supporting computation offloading, and a runtime infrastructure for deployment in the cloud. Using this framework, we implemented three different mobile applications and demonstrated that considerable energy savings can be achieved compared with local processing for both resource-intensive and lightweight applications, especially when using high-speed networks such as Wi-Fi and Long-Term Evolution.

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