Quantum entropy based tabu search algorithm for energy saving in SDWN
| Autor: | Xiangying Qin, Chaowei Wang, Mei Wuyang, Weidong Wang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
Network architecture Access network General Computer Science Wireless network 020206 networking & telecommunications 020207 software engineering 02 engineering and technology Energy consumption Networking hardware Tabu search Base station Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Greedy algorithm Algorithm Mathematics |
| Zdroj: | Science China Information Sciences. 60 |
| ISSN: | 1869-1919 1674-733X |
| DOI: | 10.1007/s11432-017-9044-x |
| Popis: | The energy consumption of the base station (BS) accounts for great proportion of the total wireless access network (WAN). Switching off the selected spare BSs with few network request would save a large amount of energy. It is difficult to deploy a BS energy saving strategy in existing network architecture due to the tightly coupled network devices. Therefore, we adopt the software defined wireless networks (SDWN) structure which is an sample of the wireless software defined networks (SDN). Then a novel quantum entropy based tabu search algorithm (QETS) is proposed to choose which BS to switch off, and it increases the search range and guarantee the convergence speed. The energy saving strategy can find the optimal solution with higher probabilities and can be deployed in centralized controller as a software. Theoretical analysis and simulation results show the QETS algorithm’s gain over the greedy algorithm and quantum inspired tabu search algorithm (QTS) in terms of convergence. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink