25.01.2019
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Research Article Energy Saving Mechanisms For Mac Average ratng: 9,3/10 1234 votes
Research article energy saving mechanisms for machine learning

The fact that the IEEE 802.15.4 MAC does not fully satisfy the strict wireless body sensor network (BSN) requirements in healthcare systems highlights the need for the design and analysis of new scalable MAC solutions, which guarantee low power consumption to all specific sorts of body sensors and traffic loads. While taking the challenging healthcare requirements into account, this paper aims for the study of energy consumption in BSN scenarios. For that purpose, the IEEE 802.15.4 MAC limitations are first examined, and other potential MAC layer alternatives are further explored. Our intent is to introduce energy-aware radio activation polices into a high-performance distributed queuing medium access control (DQ-MAC) protocol and evaluate its energy-saving achievements, as a function of the network load and the packet length. To do so, a fundamental energy-efficiency theoretical analysis for DQ-MAC protocols is hereby for the first time provided. Intel ich8m e driver for mac.

By means of computer simulations, its performance is validated using IEEE 802.15.4 MAC system parameters. Although the challenges faced by wireless body sensor networks (BSNs) in healthcare environments are in a certain way similar to those already existing in current wireless sensor networks (WSNs), there are intrinsic differences which require special attention [ ]. For instance, human body monitoring may be achieved by attaching sensors to the body's surface as well as implanting them into tissues for a more accurate clinical practice. Some of these newly emerged challenges, due to healthcare requirements, range from low latency and high reliability (i.e., quality of service), to low power consumption in order to protect human tissue. Hence, one of the major concerns in BSNs is that of extreme energy efficiency, which is also the key to extend the lifetime of battery-powered body sensors, reduce maintenance costs, and avoid invasive procedures to replace battery in the case of implantable devices. While taking healthcare requirements into consideration, in this paper, we concentrate on the evaluation of energy consumption in the Medium Access Control (MAC) layer.

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We conclude that DQ-MAC is superior to both the This BSN-MAC protocol is used as a second reference standard 802.15.4 and the BSN-MAC in terms of energy benchmark besides the standard de facto 802.15.4 MAC, consumption for high traffic loads (i.e., 80% traffic load) and since it is a state-of-the-art energy-saving MAC proposal all packet lengths.

To avoid wasting the limited energy, various energy saving mechanisms are proposed for MAC protocols. These mechanisms have a common design objective—to save energy. Discover the world's research. Basic energy saving mechanism of this. For this purpose, different energy efficient MAC protocols with their respective energy optimization. This paper introduces power-saving mechanisms for energy efficient Mobile WiMAX, IEEE 802.16e/m, regarded as one of the promising 4G wireless communications technologies. Energy Saving Mechanisms for MAC Protocols in Wireless Sensor Networks By Moshaddique Al Ameen, S. Riazul Islam and Kyungsup Kwak No static citation data No static citation data Cite.

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For that purpose, we introduce a new energy-efficiency theoretical analysis of a Distributed Queuing MAC (DQ-MAC) protocol and evaluate its performance under BSN scenarios. Please note that the optimization design and evaluation of the here characterized DQ-MAC protocol in terms of quality of service was presented in [ ] under BSN scenarios considering specific medical settings. The resulted protocol with integrated cross-layer fuzzy-logic scheduling techniques was renamed to Distributed Queuing Body Area Network (DQBAN) MAC protocol. Generally speaking, the MAC layer is responsible for coordinating channel accesses, by avoiding collisions and scheduling data transmissions, to maximize throughput efficiency at an acceptable packet delay and minimal energy consumption.