IROL: A humanoid mobility model for Mobile Ad Hoc Network

Lin, Shyh En; Tsai, Wan Ping; Tsai, Meng-Hsun; Pang, Ai Chun

doi:10.1109/icc.2014.6883698

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…In our simulation, we create 1 km × 2.5 km area as simulation environment, and it is almost the same size as Xianlin Campus in Nanjing University, China. We conduct Irregular Orbit Levy-walk (IROL) 35 WiFi network overloaded or underloaded, and can be adjusted to simulate the scenarios that multiple tasks arrive at almost the same time. If there is no WiFi network around all the time, the completion time of task i is denoted as TC i , which means that task i needs TC i to complete the transmission exclusively using cellular networks.…”

Section: Simulation Setupmentioning

confidence: 99%

“…In our simulation, we create 1 km × 2.5 km area as simulation environment, and it is almost the same size as Xianlin Campus in Nanjing University, China. We conduct Irregular Orbit Levy‐walk (IROL) 35 as human mobility model to generate user trajectory in this area. There are also WiFi and file transmission related environment settings for our simulation.…”

Section: Performance Evaluationmentioning

confidence: 99%

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A WiFi‐aware method for mobile data offloading with deadline constraints

Tang

et al. 2019

Concurrency and Computation

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With an increasing number of public WiFi hotspots have been constructed in metropolitan areas, citizens can leverage these WiFi hotspots to surf the Internet with their smart devices almost everywhere. Compared to cellular networks, most people prefer using WiFi because this can not only save money by reducing the cellular data traffic but also save energy to prolong the battery lifetime of mobile devices. Mobile offloading techniques give the opportunity for smart devices to offload cellular data traffic to WiFi networks whenever they are connected WiFi networks. Although offloading to WiFi networks can cause communication delay, many delay-tolerant applications still prefer doing so in order to save the cellular data traffic. Existing offloading approaches only take the application delay tolerance into consideration and therefore easy to induce some tasks missing deadlines. In this paper, we propose a novel WiFi-aware method for mobile data offloading through WiFi networks with deadline constraints. Specifically, it takes the WiFi distribution in city areas into consideration while making offloading decision. The simulation results on real-world data have shown that our method improves the percentage of tasks that can meet their deadlines, and reduces the average task completion time by comparing with other outstanding methods.

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Section: Simulation Setupmentioning

confidence: 99%

“…In our simulation, we create 1 km × 2.5 km area as simulation environment, and it is almost the same size as Xianlin Campus in Nanjing University, China. We conduct Irregular Orbit Levy‐walk (IROL) 35 as human mobility model to generate user trajectory in this area. There are also WiFi and file transmission related environment settings for our simulation.…”

Section: Performance Evaluationmentioning

confidence: 99%