| Title | A Location-aware Computation Offloading Policy for MEC-assisted Wireless Mesh Network |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Shi, W., Liu, S., Zhang, J., Zhang, R. |
| Conference Name | 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops) |
| Keywords | access network, cloud computing, composability, Computation offloading, Computational modeling, context-awareness, Delay effects, delays, energy consumption, flexible network architecture, LAOP algorithm, location-aware computation offloading policy, location-aware offloading policy algorithm, low deployment cost, low latency energy savings, MEC-assisted wireless mesh network, Metrics, mobile computing, Mobile Edge Computing, mobile energy savings, pubcrawl, Resiliency, Routing, Servers, Task Analysis, Time delay, traditional wireless communication, wireless mesh network, Wireless Mesh Network Security, wireless mesh networks, WMN |
| Abstract | Mobile edge computing (MEC), an emerging technology, has the characteristics of low latency, mobile energy savings, and context-awareness. As a type of access network, wireless mesh network (WMN) has gained wide attention due to its flexible network architecture, low deployment cost, and self-organization. The combination of MEC and WMN can solve the shortcomings of traditional wireless communication such as storage capacity, privacy, and security. In this paper, we propose a location-aware (LA) algorithm to cognize the location and a location-aware offloading policy (LAOP) algorithm considering the energy consumption and time delay. Simulation results show that the proposed LAOP algorithm can obtain a higher completion rate and lower average processing delay compared with the other two methods. |
| DOI | 10.1109/ICCCWorkshops49972.2020.9209947 |
| Citation Key | shi_location-aware_2020 |
A Location-aware Computation Offloading Policy for MEC-assisted Wireless Mesh Network