International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,June 2017,

Topic : Optimization of Rdc To Achieve Energy Efficiency in Smart Home Using CoAP

Authors:G.Monica || C.Pandeeswaran,Pappa Natarajan

Abstract:A WSN(Wireless Sensor Network) is a self-configuring network of small sensor nodes(so called motes)communicating among them using radio signals, and deployed in quantity to sense the physical world. WSN is scattered in a region where it is meant to collect data through its sensor nodes. Medium Access Control(MAC) established the rules to specify when a given node is allowed to transmit a packet, Radio Duty Cycling(RDC)layer is efficient in terms of throughput and energy and also responsible for the nodes wakeup and sleep mechanism. The different MAC designs are compared by estimating them in terms of modifying their channel check rates it countervailed with their power savings and to present our developed system that is robust which aware in value of energy utilization. Internet of Things (IoT) is a internetworking of physical devices, smart devices embedded with sensors and actuators to gather and exchange data, is likely to optimize energy consuming devices. Besides home based management systems, the IoT is especially relevant to smart grid technologies since it provides system to collect and act on energy and power related information in automated fashion with the goal to improve the efficiency, reliability, sustainability of the production and distribution of electricity. This investigation aims to design the Constrained Application Protocol based (CoAP) based Smart Home automation such as the control and automation of lighting, Heating, Ventilation and Air Conditioning(HVAC) systems and appliances such as washers, vacuums, ovens, refrigerators with smart and energy efficient..

Keywords: Smart home, IoT, CoAPKeywords: Artificial brains,machine learning,artificial intelligence etc

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DOI: 01.1617/vol4/iss6/pid52018

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,

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ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERECE
Electronic ISSN : 2394-6849
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