文章基本信息

标题：Abridged Energy Utilization in Wireless Networks through Efficient Scheduling Mechanism
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作者：S Priyamohana ; S Veluchamy ; C Suresh Kumar 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：4
页码：1441-1445
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Wireless devices that constitute an infrastructure-less network, do not have a continuous power supply. Their mobility capability also reduces the chances of connecting to electric power. Thus, given that the communication interface card of a wireless device consumes a significant portion of battery energy, reduction of the transmission power consumption is one of the most significant issues in modern wireless communication networks. In wireless environments, the channel conditions are time variant. The radio channel experiences both stochastic small scale fading (SCF) because of multipath and large-scale fading because of shadowing. The main objective is to design a transmission schedule that maximizes battery lifetime and providing the quality of service (QoS), in particular meeting the data rate and packet delay constraints of real-time data users, is one of the requirements in emerging Wireless network links. A Multilevel queue scheduling is used for situations in which processes are easily separated into several groups. For example, a general division is prepared between foreground (interactive) processes and background processes. These two types of processes contain different response-time requirements and so may have different scheduling needs. It is very helpful for shared memory harms. It partitions the ready queue into several separate queues. It is used to improve the energy consumption. Here use three different scheduling algorithms for wireless links. A simulation result shows that better performance compare than other scheduling mechanisms.
关键词：Channel Awareness; Energy Efficiency; ; deadline constrains; Multi-level Queue Scheduler; real time; ; Non real time; QoS