SKU/Artículo: AMZ-B0FNJMK974
Energy Efficiency in M2M communication: Efficient protocols for IoT
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Paperback
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0.23 kg
0.23 kg
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Amazon
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- The main objective of this book is to: investigate in different areas of Machine-to-Machine (M2M) communication to upbring certain techniques that takes into account the sensor nodes processing capabilities and utilizes it for energy conservation in a 5G based IoT network. Energy efficiency is a critical need of battery running device such as sensor nodes. In the current dynamic adhoc scenario, this is the most essential requirement that should be carefully monitored while developing a protocol for M2M communication. A M2M network successful performance relies on as much as reduction of energy consumption that enhances the lifetime of M2M communicating nodes. This thesis contributes algorithms based on physical and MAC layers of communication pyramid those are a novel resource allocation algorithm termed as threshold controlled access (TCA) protocol and a power adaptive uplink MAC protocol for M2M architecture respectively. Further on techniques proposed by researchers are classified according to the ISO communication model and into five different main domains those are radio optimization, data reduction, sleep/wake up schemes and battery repletion domains through survey cum classification based on main energy efficiency techniques. Existing energy efficient algorithms are compared and analyzed on the basis of their proposed solutions, claimed and plotted the achieved energy saving and on the applicable area on which they aim to target. Proprietary techniques developed specifically for achieving energy efficiency in Machine Type Communication (MTC) are also explored in this thesis. In the end present vehicular communication techniques which are reviewed and discussed their in-feasibility for M2M communication while proposing an energy efficient mathematical model which is derived from Anderson Model for the distributed structure of MTC network involving autonomous agents. The proposed model gives an efficient positioning capabilities for navigating the vehicles. This literature work also provides an overview of future research work, regarding optimization of power consumption in M2M communication ecosystem. Thus, the working hypothesis of this thesis is based on four areas in IoT architecture that is beneficial for restricting energy consumption.
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