An Optimal and Energy Efficient Methods in Wireless Sensor Network

Aditya Patel

ISBN 10: 6203864102 / ISBN 13: 9786203864106

Edité par LAP LAMBERT Academic Publishing Jun 2021, 2021

A propos de cet article

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.

N° de réf. du vendeur 9786203864106

Détails bibliographiques

• Titre: An Optimal and Energy Efficient Methods in Wireless Sensor Network
• Éditeur: LAP LAMBERT Academic Publishing Jun 2021
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 6203864102
• ISBN à 13 chiffres: 9786203864106
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.