Abstract
Nowadays, with spreads of inexpensive small communication devices, a number of wireless local area networks (WLANs) have been deployed even in the same building for the Internet access services. Their wireless access-points (APs) are often independently installed and managed by different groups such as departments or laboratories in a university or a company. Then, a user host can access to multiple WLANs by detecting signals from their APs, which increases the energy consumption and the operational cost. It may also degrade the communication performance by increasing interferences. In this paper, we present an AP aggregation approach to solve these problems in multiple WLAN environments by aggregating deployed APs of different groups into limited ones using virtual APs. First, we formulate the AP aggregation problem as a combinatorial optimization problem and prove the NP-completeness of its decision problem. Then, we propose its heuristic algorithm composed of five phases. We verify the effectiveness through extensive simulations using the WIMNET simulator.
| Original language | English |
|---|---|
| Pages (from-to) | 2986-2997 |
| Number of pages | 12 |
| Journal | IEICE Transactions on Communications |
| Volume | E96-B |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - Dec 2013 |
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Keywords
- Access-point aggregation
- Algorithm
- Energy-saving
- IEEE 802.11n
- NPcomplete
- Wireless local area network
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Software
Cite this
An access-point aggregation approach for energy-saving wireless local area networks. / Islam, Md Ezharul; Funabiki, Nobuo; Nakanishi, Toru; Watanabe, Kan.
In: IEICE Transactions on Communications, Vol. E96-B, No. 12, 12.2013, p. 2986-2997.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - An access-point aggregation approach for energy-saving wireless local area networks
AU - Islam, Md Ezharul
AU - Funabiki, Nobuo
AU - Nakanishi, Toru
AU - Watanabe, Kan
PY - 2013/12
Y1 - 2013/12
N2 - Nowadays, with spreads of inexpensive small communication devices, a number of wireless local area networks (WLANs) have been deployed even in the same building for the Internet access services. Their wireless access-points (APs) are often independently installed and managed by different groups such as departments or laboratories in a university or a company. Then, a user host can access to multiple WLANs by detecting signals from their APs, which increases the energy consumption and the operational cost. It may also degrade the communication performance by increasing interferences. In this paper, we present an AP aggregation approach to solve these problems in multiple WLAN environments by aggregating deployed APs of different groups into limited ones using virtual APs. First, we formulate the AP aggregation problem as a combinatorial optimization problem and prove the NP-completeness of its decision problem. Then, we propose its heuristic algorithm composed of five phases. We verify the effectiveness through extensive simulations using the WIMNET simulator.
AB - Nowadays, with spreads of inexpensive small communication devices, a number of wireless local area networks (WLANs) have been deployed even in the same building for the Internet access services. Their wireless access-points (APs) are often independently installed and managed by different groups such as departments or laboratories in a university or a company. Then, a user host can access to multiple WLANs by detecting signals from their APs, which increases the energy consumption and the operational cost. It may also degrade the communication performance by increasing interferences. In this paper, we present an AP aggregation approach to solve these problems in multiple WLAN environments by aggregating deployed APs of different groups into limited ones using virtual APs. First, we formulate the AP aggregation problem as a combinatorial optimization problem and prove the NP-completeness of its decision problem. Then, we propose its heuristic algorithm composed of five phases. We verify the effectiveness through extensive simulations using the WIMNET simulator.
KW - Access-point aggregation
KW - Algorithm
KW - Energy-saving
KW - IEEE 802.11n
KW - NPcomplete
KW - Wireless local area network
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U2 - 10.1587/transcom.E96.B.2986
DO - 10.1587/transcom.E96.B.2986
M3 - Article
AN - SCOPUS:84889638299
VL - E96-B
SP - 2986
EP - 2997
JO - IEICE Transactions on Communications
JF - IEICE Transactions on Communications
SN - 0916-8516
IS - 12
ER -