Joint wireless power transfer and task offloading in mobile edge computing: a survey

2021 ◽  
Author(s):  
Ehzaz Mustafa ◽  
Junaid Shuja ◽  
S. Khaliq uz Zaman ◽  
Ali Imran Jehangiri ◽  
Sadia Din ◽  
...  
Keyword(s):  
Wireless Power Transfer ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Power Transfer ◽  
Wireless Power ◽  
And Task ◽  
Task Offloading

Mobile Edge Computing via Wireless Power Transfer Over Multiple Fading Blocks: An Optimal Stopping Approach

2020 ◽  
Vol 69 (9) ◽  
pp. 10348-10361 ◽  
Author(s):  
Qi Gu ◽  
Yiheng Jian ◽  
Gongpu Wang ◽  
Rongfei Fan ◽  
Hai Jiang ◽  
...  
Keyword(s):  
Optimal Stopping ◽  
Wireless Power Transfer ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Power Transfer ◽  
Wireless Power

scholarly journals Secure MISO Cognitive-Based Mobile Edge Computing With Wireless Power Transfer

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 15518-15528 ◽  
Author(s):  
Jin Wang ◽  
Boyang Liu ◽  
Ling Feng
Keyword(s):  
Wireless Power Transfer ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Power Transfer ◽  
Wireless Power

scholarly journals Resource Allocation in Wireless-Powered Mobile Edge Computing Systems for Internet of Things Applications

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 206 ◽  
Author(s):  
Bingjie Liu ◽  
Haitao Xu ◽  
Xianwei Zhou
Keyword(s):  
Resource Allocation ◽  
Internet Of Things ◽  
Wireless Power Transfer ◽  
Edge Computing ◽  
Game Model ◽  
Mobile Edge Computing ◽  
Power Transfer ◽  
Wireless Devices ◽  
Wireless Power ◽  
Iot Applications

Wireless devices in Internet of Things (IoT) applications, such as wireless sensors and Radio Frequency Identifications (RFIDs), are faced with challenges of heavy computation tasks and limited energy, which can be solved by the importation of mobile edge computing (MEC) and wireless power transfer (WPT) techniques. As MEC can effectively enhance computation capability, and the wireless power transfer can ensure a sustainable supply of energy, it has drawn significant research interest in IoT applications. In this paper, we will study the resource allocation problem in the wireless-powered MEC system for IoT applications with one access point (AP) and many other wireless devices, and propose a Stackelberg dynamic game model to obtain the optimal allocated resource for the nodes in the IoT environment. The AP is a wireless power source that can charge wireless devices based on wireless power transfer techniques. The AP is also integrated with a MEC server that can carry out computation tasks that offload from wireless devices. The wireless devices can use the harvested energy to execute and offload computation tasks to the AP. Based on the proposed game model, the AP and wireless devices can control their optimal transmit power for energy transfer, and computation tasks offloading to the AP, respectively. The numerical simulation results show the correctness and effectiveness of the proposed model.

scholarly journals Pricing-Driven Service Caching and Task Offloading in Mobile Edge Computing

2021 ◽  
pp. 1-1
Author(s):  
Jia Yan ◽  
Suzhi Bi ◽  
Lingjie Duan ◽  
Ying-Jun Angela Zhang
Keyword(s):  
Edge Computing ◽  
Mobile Edge Computing ◽  
And Task ◽  
Task Offloading

scholarly journals Privacy-Aware Laser Wireless Power Transfer for Aerial Multi-Access Edge Computing: A Colonel Blotto Game Approach

2021 ◽  
Author(s):  
Long Zhang ◽  
Yao Wang ◽  
Minghui Min ◽  
Chao Guo ◽  
Vishal Sharma ◽  
...  
Keyword(s):  
Location Privacy ◽  
Wireless Power Transfer ◽  
Edge Computing ◽  
Power Transfer ◽  
Wireless Power ◽  
Battery Lifetime ◽  
Blotto Game ◽  
Colonel Blotto ◽  
Colonel Blotto Game ◽  
Multi Access

Multi-access edge computing (MEC) has been recently considered in challenging environments lacking available terrestrial infrastructures by extending the computing resources to the air for further enhancing the computation capability of the new aerial user equipment (AUE). Additionally, wireless power transfer (WPT) is a promising solution to prolong the battery lifetime of energy-constrained wireless devices like AUEs. In this paper, we investigate the integration of laser-beamed WPT in the high-altitude platform (HAP) aided MEC systems for the HAP-connected AUEs. By discretizing the three-dimensional coverage space of the HAP, we present a multi-tier tile grid-based spatial structure to provide aerial locations for laser charging. With this setup, we identify a new privacy vulnerability caused by the openness during the air-to-air transmission of WPT signaling messages in the presence of a terrestrial adversary. A privacy-aware laser-powered aerial MEC framework is developed that addresses this vulnerability and enhances the location privacy of AUEs for laser WPT. Specifically, the interaction between the HAP as a defender and the adversary in their tile grid allocation as charging locations to AUEs is formulated as a Colonel Blotto game, which models the competition of the players for limited resources over multiple battlefields for a finite time horizon. Moreover, we derive the mixed-strategy Nash equilibria of the tile grid allocation game for both symmetric and asymmetric tile grids between the defender and the adversary. Simulations results show that the proposed framework significantly outperforms the design baselines with a given privacy protection level in terms of system-wide expected total utilities.

Joint optimization of service chain caching and task offloading in mobile edge computing

2021 ◽  
Vol 103 ◽  
pp. 107142
Author(s):  
Kai Peng ◽  
Jiangtian Nie ◽  
Neeraj Kumar ◽  
Chao Cai ◽  
Jiawen Kang ◽  
...  
Keyword(s):  
Edge Computing ◽  
Joint Optimization ◽  
Mobile Edge Computing ◽  
Service Chain ◽  
And Task ◽  
Task Offloading
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