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An Optimal and Energy Efficient Methods in Wireless Sensor Network - Softcover

 
9786203864106: An Optimal and Energy Efficient Methods in Wireless Sensor Network

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The Wireless Sensor Network (WSN) is used to monitor event locations. Each node in the WSN has a wide range of sensitivity and wide range of connections. Sensor note coverage is the area determined by the sensor note range. Network visual recognition is an integrated integration of emotional references into the WSN. Adequate number of sensor nodes is required to ensure adequate regional installation. In addition, reducing power consumption is also important as the sensor terminals have low battery life. This will help improve network life and thus hide time. To reduce power consumption in the WSN, some nodes with change sensors can be closed using the integration protocol. In this study, we discuss the various protocols available. These practices are widely classified as collected and distributed packages. In addition, these guidelines are classified based on the type of sensor model used, the method used to determine fault location information and neighboring node information (depending on the probe or computer geometry). In this study, we review key processes for the use of content input and introduce open research issues related to energy efficiency.

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Patel, Aditya; Singh, Nidhi; Tiwari, Neha
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203864102 ISBN 13: 9786203864106
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Patel, Aditya; Singh, Nidhi; Tiwari, Neha
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203864102 ISBN 13: 9786203864106
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Wireless Sensor Network (WSN) is used to monitor event locations. Each node in the WSN has a wide range of sensitivity and wide range of connections. Sensor note coverage is the area determined by the sensor note range. Network visual recognition is an integrated integration of emotional references into the WSN. Adequate number of sensor nodes is required to ensure adequate regional installation. In addition, reducing power consumption is also important as the sensor terminals have low battery life. This will help improve network life and thus hide time. To reduce power consumption in the WSN, some nodes with change sensors can be closed using the integration protocol. In this study, we discuss the various protocols available. These practices are widely classified as collected and distributed packages. In addition, these guidelines are classified based on the type of sensor model used, the method used to determine fault location information and neighboring node information (depending on the probe or computer geometry). In this study, we review key processes for the use of content input and introduce open research issues related to energy efficiency. 68 pp. Englisch. Seller Inventory # 9786203864106

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Patel, Aditya; Singh, Nidhi; Tiwari, Neha
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203864102 ISBN 13: 9786203864106
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Wireless Sensor Network (WSN) is used to monitor event locations. Each node in the WSN has a wide range of sensitivity and wide range of connections. Sensor note coverage is the area determined by the sensor note range. Network visual recognition is an integrated integration of emotional references into the WSN. Adequate number of sensor nodes is required to ensure adequate regional installation. In addition, reducing power consumption is also important as the sensor terminals have low battery life. This will help improve network life and thus hide time. To reduce power consumption in the WSN, some nodes with change sensors can be closed using the integration protocol. In this study, we discuss the various protocols available. These practices are widely classified as collected and distributed packages. In addition, these guidelines are classified based on the type of sensor model used, the method used to determine fault location information and neighboring node information (depending on the probe or computer geometry). In this study, we review key processes for the use of content input and introduce open research issues related to energy efficiency. Seller Inventory # 9786203864106

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Aditya Patel|Nidhi Singh|Neha Tiwari
Published by LAP LAMBERT Academic Publishing, 2021
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel AdityaProf. Aditya Patel works as an Assistant Professor in CSE Dept. at LNCT Bhopal. Previously he worked as Web Designer & Developer in Ignatiuz S/W Pvt Lmtd, Indore. He has worked on more than 50 websites / softwares. He has. Seller Inventory # 490541854

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Taschenbuch. Condition: Neu. Neuware -The Wireless Sensor Network (WSN) is used to monitor event locations. Each node in the WSN has a wide range of sensitivity and wide range of connections. Sensor note coverage is the area determined by the sensor note range. Network visual recognition is an integrated integration of emotional references into the WSN. Adequate number of sensor nodes is required to ensure adequate regional installation. In addition, reducing power consumption is also important as the sensor terminals have low battery life. This will help improve network life and thus hide time. To reduce power consumption in the WSN, some nodes with change sensors can be closed using the integration protocol. In this study, we discuss the various protocols available. These practices are widely classified as collected and distributed packages. In addition, these guidelines are classified based on the type of sensor model used, the method used to determine fault location information and neighboring node information (depending on the probe or computer geometry). In this study, we review key processes for the use of content input and introduce open research issues related to energy efficiency.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Seller Inventory # 9786203864106

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