Vertical handover improvements from WLAN to WMAN or WWAN technologies

Jakimoski, Kire; Janevski, Toni

doi:10.1109/telsks.2013.6704451

Cited by 2 publications

(2 citation statements)

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“…e lower the energy consumption is, the more e cient the o oading strategy becomes. us, the energy consumption of FF, BF, FFD, BFD, mobile stations [25], QoE and operation cost of users movement [26], security problems of data transmission [27], load balance of the network [28]. Zhou et al [24] formulated a heterogeneous networks framework to support computing and content caching.…”

Section: Evaluation On Energy Consumptionmentioning

confidence: 99%

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Joint Optimization of Energy Conservation and Migration Cost for Complex Systems in Edge Computing

Xue

Cui

et al. 2019

Complexity

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By means of the complex systems, multiple renewable energy sources are integrated to provide energy supply for users. Considering that there are massive services needed to process in complex systems, the mobile services are offloaded from mobile devices to edge servers for efficient implementation. In spite of the benefits of complex systems and edge servers, massive resource requirements for implementing the increasing resource requests decrease the execution efficiency and affect the whole resource usage of edge servers. Therefore, it remains an issue to achieve dynamic scheduling of the computing resources across edge servers. With the consideration of this issue, a Balanced Resource Scheduling Method, named BRSM, for trade-offs between virtual machine (VM) migration cost and energy consumption of VM migrations for edge server management, named BRSM, is designed in this paper. Technically, we analyze the load conditions of edge servers and formulate the energy consumption of VM migrations and VM migration cost as a multi-objective optimization problem. Then, we propose a dynamic resource scheduling method for WMAN to deal with the multi-objective optimization problem. In addition, nondominated sorting genetic algorithm III (NSGA-III) is adopted to generate optimal resource scheduling strategies. Finally, we conduct experiment simulations to testify the efficiency of the proposed method BRSM.

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Section: Evaluation On Energy Consumptionmentioning

confidence: 99%

“…By feat of a new technique named Blind Key Distribution (BKD), the security and reliability problems could be improved. Jakimoski et al [28] designed a vertical handover decision algorithm to optimize the load of WMAN, relying on the velocity of the mobile devices and load of the whole network.…”

Section: Evaluation On Energy Consumptionmentioning

confidence: 99%