Energy-Efficient Multi-Constraint Routing Algorithm With Load Balancing for Smart City Applications
Energy-Efficient Multi-Constraint Routing Algorithm With Load Balancing for Smart City Applications
复制标题
适用于智能城市应用的具有负载均衡功能的节能多约束路由算法
DOI：
10.1109/jiot.2016.2613111
复制
发表时间：
2016-12-01
影响因子：
10.6
通讯作者：
Song, Houbing
中科院分区：
文献类型：
--
作者：
Jiang, Dingde;Zhang, Peng;Song, Houbing
许多研究表明，ICT网络设备的功耗占全球总功耗的近10%。而网络设备的冗余部署使得网络的利用率相对较低，导致网络的能量效率非常低。随着用户需求的动态化和高质量化，如何在保证网络性能和客户服务质量的前提下，提高网络能效成为一个焦点。为此，本文提出了一种基于链路负载的能量消耗模型，并利用网络的比特能量消耗参数来衡量网络的能量效率。本文以最小化网络的比特能耗参数为目标，提出了能量有效的最小关键度路由算法，包括能量有效路由和负载均衡。为进一步提高网络能量效率，提出一种能量有效的多约束重路由（E2MR2）算法。E2MR2采用能量消耗模型来设定链路权值以获得最大能量效率，并采用重路由策略来保证网络QoS和最大时延约束。仿真实验使用真实的网络拓扑中的合成流量数据来分析我们的方法的性能。仿真结果表明，该方法是可行的，有前途的。
Many researches show that the power consumption of network devices of ICT is nearly 10% of total global consumption. While the redundant deployment of network equipment makes the network utilization is relatively low, which leads to a very low energy efficiency of networks. With the dynamic and high quality demands of users, how to improve network energy efficiency becomes a focus under the premise of ensuring network performance and customer service quality. For this reason, we propose an energy consumption model based on link loads, and use the network's bit energy consumption parameter to measure the network energy efficiency. This paper is to minimize the network's bit energy consumption parameter, and then we propose the energy-efficient minimum criticality routing algorithm, which includes energy efficiency routing and load balancing. To further improve network energy efficiency, this paper proposes an energy-efficient multi-constraint rerouting (E2MR2) algorithm. E2MR2 uses the energy consumption model to set up the link weight for maximum energy efficiency and exploits rerouting strategy to ensure network QoS and maximum delay constraints. The simulation uses synthetic traffic data in the real network topology to analyze the performance of our method. Simulation results that our approach is feasible and promising.