The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam sistem komunikasi wayarles heterogen semasa, peningkatan mendadak dalam penggunaan tenaga dan kemunculan jenis perkhidmatan baharu menimbulkan cabaran besar kepada algoritma pemilihan rangkaian capaian radio pada masa kini yang tidak menjaga arah aliran baharu ini. Jadi algoritma pemilihan rangkaian capaian heterogen berbilang perkhidmatan berasaskan kecekapan tenaga yang dicadangkan-ESRS (Pemilihan rangkaian capaian Radio Penjimatan Tenaga) bertujuan untuk mengurangkan penggunaan tenaga yang disebabkan oleh trafik dalam sistem rangkaian mudah alih yang terdiri daripada Stesen Pangkalan (BSs) dan Titik Akses. (AP). Algoritma ini memodelkan masalah pemilihan rangkaian capaian sebagai masalah Pembuatan Keputusan Berbilang Atribut (MADM). Untuk menyelesaikan masalah ini, banyak kaedah digabungkan, termasuk Proses Hierarki analitik (AHP), analisis hubungan kelabu berwajaran (GRA), teori entropi, berat tambahan mudah (SAW), dan teori fungsi utiliti. Terdapat dua langkah utama dalam algoritma ini. Pada mulanya, algoritma yang dicadangkan mendapat hasil QoS pengguna setiap rangkaian dengan menangani parameter QoS yang berkaitan, di mana teori entropi dan AHP digunakan untuk menentukan berat komprehensif QoS, dan SAW digunakan untuk mendapatkan QoS setiap rangkaian. Selain QoS pengguna, parameter termasuk pemprosesan pengguna, utiliti penggunaan tenaga dan utiliti kos juga dikira dalam langkah ini. Dalam langkah kedua, teori kabur digunakan untuk menentukan berat atribut keputusan, dan analisis hubungan kelabu berwajaran (GRA) digunakan untuk mengira skor rangkaian, yang menentukan pilihan terakhir. Oleh kerana berat kabur mempunyai keutamaan untuk penggunaan tenaga yang rendah, penggunaan tenaga trafik akan dijimatkan dengan memilih rangkaian dengan penggunaan tenaga paling sedikit sebanyak mungkin. Bahagian simulasi membandingkan prestasi algoritma ESRS, ABE dan MSNS. Keputusan berangka menunjukkan bahawa algoritma ESRS boleh memilih rangkaian yang sesuai berdasarkan permintaan perkhidmatan dan parameter rangkaian. Selain itu, ia boleh mengurangkan penggunaan tenaga sistem dan kos keseluruhan secara berkesan sambil mengekalkan nilai QoS keseluruhan yang tinggi dan daya pemprosesan sistem yang tinggi, jika dibandingkan dengan dua algoritma yang lain.
Meng-Yuan HE
Nanjing University of Posts and Telecommunications
Ling-Yun JIANG
Nanjing University of Posts and Telecommunications
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Salinan
Meng-Yuan HE, Ling-Yun JIANG, "Energy Efficiency Based Multi Service Heterogeneous Access Network Selection Algorithm" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 10, pp. 881-890, October 2023, doi: 10.1587/transcom.2022EBP3196.
Abstract: In the current heterogeneous wireless communication system, the sharp rise in energy consumption and the emergence of new service types pose great challenges to nowadays radio access network selection algorithms which do not take care of these new trends. So the proposed energy efficiency based multi-service heterogeneous access network selection algorithm-ESRS (Energy Saving Radio access network Selection) is intended to reduce the energy consumption caused by the traffic in the mobile network system composed of Base Stations (BSs) and Access Points (APs). This algorithm models the access network selection problem as a Multiple-Attribute Decision-Making (MADM) problem. To solve this problem, lots of methods are combined, including analytic Hierarchy Process (AHP), weighted grey relational analysis (GRA), entropy theory, simple additive weight (SAW), and utility function theory. There are two main steps in this algorithm. At first, the proposed algorithm gets the result of the user QoS of each network by dealing with the related QoS parameters, in which entropy theory and AHP are used to determine the QoS comprehensive weight, and the SAW is used to get each network's QoS. In addition to user QoS, parameters including user throughput, energy consumption utility and cost utility are also calculated in this step. In the second step, the fuzzy theory is used to define the weight of decision attributes, and weighted grey relational analysis (GRA) is used to calculate the network score, which determines the final choice. Because the fuzzy weight has a preference for the low energy consumption, the energy consumption of the traffic will be saved by choosing the network with the least energy consumption as much as possible. The simulation parts compared the performance of ESRS, ABE and MSNS algorithms. The numerical results show that ESRS algorithm can select the appropriate network based on the service demands and network parameters. Besides, it can effectively reduce the system energy consumption and overall cost while still maintaining a high overall QoS value and a high system throughput, when compared with the other two algorithms.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2022EBP3196/_p
Salinan
@ARTICLE{e106-b_10_881,
author={Meng-Yuan HE, Ling-Yun JIANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Energy Efficiency Based Multi Service Heterogeneous Access Network Selection Algorithm},
year={2023},
volume={E106-B},
number={10},
pages={881-890},
abstract={In the current heterogeneous wireless communication system, the sharp rise in energy consumption and the emergence of new service types pose great challenges to nowadays radio access network selection algorithms which do not take care of these new trends. So the proposed energy efficiency based multi-service heterogeneous access network selection algorithm-ESRS (Energy Saving Radio access network Selection) is intended to reduce the energy consumption caused by the traffic in the mobile network system composed of Base Stations (BSs) and Access Points (APs). This algorithm models the access network selection problem as a Multiple-Attribute Decision-Making (MADM) problem. To solve this problem, lots of methods are combined, including analytic Hierarchy Process (AHP), weighted grey relational analysis (GRA), entropy theory, simple additive weight (SAW), and utility function theory. There are two main steps in this algorithm. At first, the proposed algorithm gets the result of the user QoS of each network by dealing with the related QoS parameters, in which entropy theory and AHP are used to determine the QoS comprehensive weight, and the SAW is used to get each network's QoS. In addition to user QoS, parameters including user throughput, energy consumption utility and cost utility are also calculated in this step. In the second step, the fuzzy theory is used to define the weight of decision attributes, and weighted grey relational analysis (GRA) is used to calculate the network score, which determines the final choice. Because the fuzzy weight has a preference for the low energy consumption, the energy consumption of the traffic will be saved by choosing the network with the least energy consumption as much as possible. The simulation parts compared the performance of ESRS, ABE and MSNS algorithms. The numerical results show that ESRS algorithm can select the appropriate network based on the service demands and network parameters. Besides, it can effectively reduce the system energy consumption and overall cost while still maintaining a high overall QoS value and a high system throughput, when compared with the other two algorithms.},
keywords={},
doi={10.1587/transcom.2022EBP3196},
ISSN={1745-1345},
month={October},}
Salinan
TY - JOUR
TI - Energy Efficiency Based Multi Service Heterogeneous Access Network Selection Algorithm
T2 - IEICE TRANSACTIONS on Communications
SP - 881
EP - 890
AU - Meng-Yuan HE
AU - Ling-Yun JIANG
PY - 2023
DO - 10.1587/transcom.2022EBP3196
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2023
AB - In the current heterogeneous wireless communication system, the sharp rise in energy consumption and the emergence of new service types pose great challenges to nowadays radio access network selection algorithms which do not take care of these new trends. So the proposed energy efficiency based multi-service heterogeneous access network selection algorithm-ESRS (Energy Saving Radio access network Selection) is intended to reduce the energy consumption caused by the traffic in the mobile network system composed of Base Stations (BSs) and Access Points (APs). This algorithm models the access network selection problem as a Multiple-Attribute Decision-Making (MADM) problem. To solve this problem, lots of methods are combined, including analytic Hierarchy Process (AHP), weighted grey relational analysis (GRA), entropy theory, simple additive weight (SAW), and utility function theory. There are two main steps in this algorithm. At first, the proposed algorithm gets the result of the user QoS of each network by dealing with the related QoS parameters, in which entropy theory and AHP are used to determine the QoS comprehensive weight, and the SAW is used to get each network's QoS. In addition to user QoS, parameters including user throughput, energy consumption utility and cost utility are also calculated in this step. In the second step, the fuzzy theory is used to define the weight of decision attributes, and weighted grey relational analysis (GRA) is used to calculate the network score, which determines the final choice. Because the fuzzy weight has a preference for the low energy consumption, the energy consumption of the traffic will be saved by choosing the network with the least energy consumption as much as possible. The simulation parts compared the performance of ESRS, ABE and MSNS algorithms. The numerical results show that ESRS algorithm can select the appropriate network based on the service demands and network parameters. Besides, it can effectively reduce the system energy consumption and overall cost while still maintaining a high overall QoS value and a high system throughput, when compared with the other two algorithms.
ER -