帶有卸載壓縮激勵(lì)的云增強(qiáng)FiWi網(wǎng)絡(luò)節(jié)能機(jī)制
doi: 10.11999/JEIT190405 cstr: 32379.14.JEIT190405
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1.
重慶郵電大學(xué)通信與信息工程學(xué)院 重慶 400065
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2.
重慶高校市級(jí)光通信與網(wǎng)絡(luò)重點(diǎn)實(shí)驗(yàn)室 重慶 400065
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3.
泛在感知與互聯(lián)重慶市重點(diǎn)實(shí)驗(yàn)室 重慶 400065
Energy Saving Mechanism with Incentive of Offloading Compression in Cloudlet Enhanced Fiber-Wireless Network
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1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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2.
Chongqing Key Laboratory of Optical Communication and Networks, Chongqing 400065, China
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3.
Chongqing Key Laboratory of Ubiquitous Sensing and Networking, Chongqing 400065, China
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摘要:
針對(duì)云增強(qiáng)型光纖-無(wú)線(FiWi)網(wǎng)絡(luò)能耗以及卸載的通信開(kāi)銷過(guò)大問(wèn)題，該文提出一種自適應(yīng)卸載壓縮節(jié)能機(jī)制(ESAOC)，針對(duì)不同類型的業(yè)務(wù)屬性和最大的容忍時(shí)延，結(jié)合光網(wǎng)絡(luò)單元的負(fù)載變化和無(wú)線網(wǎng)狀網(wǎng)的流量情況，通過(guò)統(tǒng)計(jì)的方式獲得不同優(yōu)先級(jí)卸載數(shù)據(jù)的平均到達(dá)率，再結(jié)合各個(gè)節(jié)點(diǎn)的壓縮時(shí)延，動(dòng)態(tài)調(diào)整業(yè)務(wù)的卸載壓縮比，以降低卸載的通信開(kāi)銷；同時(shí)，建立排隊(duì)模型分析卸載業(yè)務(wù)在MEC服務(wù)器的排隊(duì)時(shí)延，協(xié)同調(diào)度無(wú)線側(cè)中繼節(jié)點(diǎn)，進(jìn)而對(duì)光網(wǎng)絡(luò)單元和終端設(shè)備進(jìn)行協(xié)同休眠調(diào)度，最大化休眠時(shí)長(zhǎng)，提高系統(tǒng)能源效率。結(jié)果表明，所提方法在有效降低整個(gè)網(wǎng)絡(luò)能耗的同時(shí)能夠保證卸載業(yè)務(wù)的時(shí)延性能。
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關(guān)鍵詞:
- 光纖-無(wú)線網(wǎng)絡(luò) /
- 自適應(yīng)卸載壓縮 /
- 協(xié)同休眠 /
- 節(jié)能
Abstract:In cloudlet enhanced Fiber-Wireless (FiWi) network, there is a problem that energy consumption and communication overhead of offloading are too large. An Energy Saving mechanism with Adaptive Offloading Compression (ESAOC) is proposed. According to the different types of service attributes and the maximum tolerant delay, combined with the load changes of the optical network unit and the traffic of the wireless mesh network, the ratio of the offloading compression of service is dynamically adjusted to reduce the communication overhead of the offloading by the average arrival rate of the offloaded data of different priorities obtained by means of statistical methods and combined with the delay of compression of each node. At the same time, a queuing model is established to analyze the delay of the offloading service in the MEC server and cooperatively schedule the relay node in wireless mesh network, thereby performing the schedule of collaborative sleeping on the optical network units and the terminal devices to maximize the duration of sleeping and improving the energy efficiency of system. The results show that the proposed mechanism can effectively reduce the network energy consumption while ensuring the delay performance of offloading service.
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表 1 仿真參數(shù)設(shè)置
參數(shù)設(shè)定 參數(shù)數(shù)值 網(wǎng)絡(luò)區(qū)域(m2) 500×500 ONU數(shù)目N(個(gè)) 8 Mesh節(jié)點(diǎn)數(shù)目${N_w}$(個(gè)) 20 STA數(shù)目W(個(gè)) 50 ONU活躍狀態(tài)能耗(W) 5.05 ONU休眠狀態(tài)能耗(W) 0.75 平均卸載分組大小(kb) 128.5 節(jié)點(diǎn)處理能力$\tau $(ns/b) 0.35 壓縮參數(shù)$\beta $ 5 壓縮能耗系數(shù)$\varepsilon $(nJ/b) 8 ${R_{\rm{mes} }}$(Mbit/s) 6900 ${R_{\rm{O}} }$(Gbit/s) 1 ${T_{\rm{O} \to {\rm{M}} }}$(μs) 50 ONU保護(hù)時(shí)隙(μs) 40 控制幀時(shí)隙(μs) 0.5 ${\xi _0}$(cycles/bit) 500 ${f_0}$(cycles/s) $3.2 \times {10^9}$ 
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