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medium access network.
The authors of references [1 3] proposed scheduling and allocation methods using the available mechanisms and parameters in the medium access network (MAC)/physical (PHY) layers of wireless networks.
In this paper, we propose a cross-layer optimization scheme in which the application layer controls the medium access network (MAC) and physical (PHY) layers in long-term evolution (LTE, from 3rd generation partnership project [3GPP] release 8) to maximize the quality of video streaming services.
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However, worst-case scenarios in probabilistic medium access networks, as it is the case of IEEE 802.11 networks, address only rarely occurring cases.
So, a modified CAA, e-TICA2, is presented in this section which employs an MST rooted at the gateway instead of a SPT to reduce the occurrence of conflicting channels, thereby, improving fairness in medium access and network throughput.
In this process, the medium access control and network layer overhead should be taken into account.
CCGns comprises eight packages for physical layer, medium access control layer, network layer, devices, topologies, events, scheduler, and reports, respectively.
Many previous works suggested protocols for medium access control (MAC), network topology, and routing to minimize the consumption of the transceiver [1 4].
The vast majority of the research efforts so far have focused on the development of energy-efficient MAC (medium access control) and network protocols to guarantee a lifetime of at least a couple of years with a single battery pack.
CCGns uses design paradigm to design system architecture and comprises of eight packages: physical (PHY) layer, medium access control (MAC) layer, network (NET) layer, devices (DEV), topology (TPY), events (EVT), scheduler (SCH), and report (RPT) packages.
The architecture addresses the power-saving issue on several protocol layers, including network, medium access control (MAC), and physical layers.
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