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Channel-Aware Opportunistic Transmission Scheduling for Energy-Efficient Wireless Links

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SKU: PROJ1521 Categories: 2013 Projects, 2014 Projects, Final Year Projects, Mobile Computing Projects, Online Matlab Projects Tags: academic projects, Android project 2013-2014, Android project Abstract, Android project list, btech projects, dotnet project 2013-2014, dotnet project Abstract, dotnet project list, elysium technologies abstract, elysium technologies chennai, elysium technologies coimbatore, elysium technologies company, elysium technologies courses, elysium technologies erode, elysium technologies inpant traning, elysium technologies internship, elysium technologies jobs, elysium technologies madurai, elysium technologies mou, elysium technologies pondychery, elysium technologies projectlist, elysium technologies projects, elysium technologies ramnad, elysium technologies salem, elysium technologies software, elysium technologies tirunelveli, elysium technologies trichy, Final Year Projects, java project list, java projects 2013-2014, java projects Abstract, madurai software company, matlab project 2013-2014, matlab project Abstract, matlab project list, mtech projects, phd research work, Php project 2013-2014, Php project Abstract, Php project list, Power Electronic project 2013-2014, Power Electronic project Abstract, Power Electronic project list, project center Bangalore, project center chennai, project center coimbatore, project center Erode, project center Hyderabad, project center Kollam, project center madurai, project center Pandicherry, project center ramnad, project center Salem, project center Tiruneveli, project center trichy, research center, Students Projects, Vlsi project 2013-2014, Vlsi project Abstract, Vlsi project list
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Channel-Aware Opportunistic Transmission Scheduling for Energy-Efficient Wireless Links

Abstract– Channel-Aware Opportunistic Transmission Scheduling for Energy-Efficient Wireless Links. The limited battery lifetime of a wireless device, which is directly related to the power consumption of the device, imposes a constraint on network performance. Thus, one of the most significant objectives in wireless communication networks is to improve the autonomy of the terminal devices. In this paper, we focus on the communication energy consumption, particularly on the data transmission part, which is one of the most energy-demanding operations of a wireless device. To satisfy a specified power level at the receiver, < Final Year Projects > the transmission power consumption varies, strongly depending on the channel state of the wireless link. Considering that the communication is much more energy efficient when the channel conditions are good, we design and propose a novel distributed scheduler that opportunistically schedules data transmissions, with a view of minimizing the energy consumption of a wireless device and prolonging its battery lifetime. In fact, by exploiting the stochastic characteristics of the wireless channel, we postpone the communication up to an acceptable time deadline until we find the best expected channel conditions. The proposed time scheduling strategies are based on the optimal stopping theory, considering two minimization approaches for the consumption of transmission energy. Simulation results manifest that the proposed schemes offer significant energy efficiency and highlight their flexibility.

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