The impact of the access point power model on the energy-efficient management of infrastructured wireless LANs

Garroppo, Rosario G.; Nencioni, Gianfranco; Procissi, Gregorio; Tavanti, Luca

doi:10.1016/j.comnet.2015.11.018

Cited by 9 publications

(11 citation statements)

References 26 publications

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“…GWLANs, has been considered in several works. In Garroppo et al (2016a), the authors computationally evaluate how different power consumption models impact on the solutions produced solving the green WLAN network design problem. In Zhang et al (2018), a tabu-search algorithm is proposed to solve the problem of minimizing the power consumption by turning-off subsets of APs and assigning their users to other active APs without compromising the Quality-of-Service.…”

Section: Related Workmentioning

confidence: 99%

Robust green Wireless Local Area Networks: A matheuristic approach

Garroppo

Scutellà

D’Andreagiovanni

2020

Journal of Network and Computer Applications

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We consider the problem of designing a Wireless Local Area Network according to a Green paradigm (GWLAN), i.e. minimizing the power consumption of the network by powering-on just a subset of access points and associating users with the powered-on access points. To protect the system against fluctuations in the data rate transmission between users and access points, which naturally affect the problem because of uncertainty in measuring the exact user position and because of wireless propagation conditions, we address the robust extension of this problem, i.e. the Robust Green Wireless Local Area Networks Problem (RGWLAN), and we propose some robust matheuristics to solve it. Such matheuristics are based on two mathematical models to RGWLAN, i.e. a model based on a generalization of the classical Γ-Robustness framework, and a model exploiting the Multiband Robustness paradigm. The models are enriched by means of a preprocessing powering-on heuristic, aimed at fixing some access points as powered-on, and a reallocation algorithm, aimed at reallocating users to access points once the model solution has been computed, in order to enhance its degree of robustness. The aim is to achieve a good compromise between power saving, guaranteed level of robustness and required computational time.The results of an extensive computational analysis show that the proposed matheuristics solve the RGWLAN in a very efficient way both in terms of power consumption and computational time. Also, they are able to guarantee a high level of robustness with respect to the uncertainty in the user positions. This trend is particularly evident when the users to access points ratio is low, i.e.

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Section: Related Workmentioning

confidence: 99%

Robust green Wireless Local Area Networks: A matheuristic approach

Garroppo

Scutellà

D’Andreagiovanni

2020

Journal of Network and Computer Applications

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“…To characterize energy consumption of APs correctly, we use a fine-grained power model where we ascribe the power consumed by AP to the following two elements [24,25]:…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…For the traffic pattern, we adopt the standard mode. Table 6 shows parameter settings of the AP power model [25].…”

Section: Varying the Ap Utilizationmentioning

confidence: 99%

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Energy‐Efficient User Association with Congestion Avoidance and Migration Constraint in Green WLANs

Luo

Dong

et al. 2018

Wireless Communications and Mobile Computing

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Green wireless local area networks (WLANs) have captured the interests of academia and industry recently, because they save energy by scheduling an access point (AP) on/off according to traffic demands. However, it is very challenging to determine user association in a green WLAN while simultaneously considering several other factors, such as avoiding AP congestion and user migration constraints. Here, we study the energy-efficient user association with congestion avoidance and migration constraint (EACM). First, we formulate the EACM problem as an integer linear programming (ILP) model, to minimize APs' overall energy consumption within a time interval while satisfying the following constraints: traffic demand, AP utilization threshold, and maximum number of demand node (DN) migrations allowed. Then, we propose an efficient migration-constrained user reassociation algorithm, consisting of two steps. The first step removes AP-DN associations to eliminate AP congestion and turn off as many idle APs as possible. The second step reassociates these DNs according to an energy efficiency strategy. Finally, we perform simulation experiments that validate our algorithm's effectiveness and efficiency.

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“…A coordinated user association and power control is important because the variation of the transmission power of a base station affects the reachability and the data rate between a potential user and the base station [82]. An effective power control will need an accurate power model of all the transmission entities [83] in order to allow the development of performing algorithms [84].…”

Section: Power Controlmentioning

confidence: 99%

Orchestration and Control in Software‐Defined 5G Networks: Research Challenges

Nencioni

Garroppo

Gonzalez

et al. 2018

Wireless Communications and Mobile Computing

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The fifth generation (5G) of cellular networks promises to be a major step in the evolution of wireless technology. 5G is planned to be used in a very broad set of application scenarios. These scenarios have strict heterogeneous requirements that will be accomplished by enhancements on the radio access network and a collection of innovative wireless technologies. Softwarization technologies, such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV), will play a key role in integrating these different technologies. Network slicing emerges as a cost-efficient solution for the implementation of the diverse 5G requirements and verticals. The 5G radio access and core networks will be based on a SDN/NFV infrastructure, which will be able to orchestrate the resources and control the network in order to efficiently and flexibly and with scalability provide network services. In this paper, we present the up-to-date status of the software-defined 5G radio access and core networks and a broad range of future research challenges on the orchestration and control aspects.

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The impact of the access point power model on the energy-efficient management of infrastructured wireless LANs

Cited by 9 publications

References 26 publications

Robust green Wireless Local Area Networks: A matheuristic approach

Robust green Wireless Local Area Networks: A matheuristic approach

Energy‐Efficient User Association with Congestion Avoidance and Migration Constraint in Green WLANs

Orchestration and Control in Software‐Defined 5G Networks: Research Challenges

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