Improved Scheduling Algorithm Using Dynamic Tree Construction for Wireless Sensor Networks

The Wireless Sensor Network (WSN) composed of several nodes is used for different types of monitoring applications. The objective of deploying WSN is to observe a particular site for monitoring physical parameters like temperature, light, pressure, humidity or the occurrence of a phenomenon. The Sleep/Wake up scheduling for Wireless Sensor Networks has become an essential part of its working. In this book, the details of Low Energy Adaptive Clustering Hierarchy (LEACH) which introduces the concept of clustering in sensor networks, Energy-Efficient Clustering routing algorithm based on Distance and Residual Energy for Wireless Sensor Networks (DECSA) which describes scheduling based... alles anzeigen expand_more

The Wireless Sensor Network (WSN) composed of several nodes is used for different types of monitoring applications. The objective of deploying WSN is to observe a particular site for monitoring physical parameters like temperature, light, pressure, humidity or the occurrence of a phenomenon. The Sleep/Wake up scheduling for Wireless Sensor Networks has become an essential part of its working.

In this book, the details of Low Energy Adaptive Clustering Hierarchy (LEACH) which introduces the concept of clustering in sensor networks, Energy-Efficient Clustering routing algorithm based on Distance and Residual Energy for Wireless Sensor Networks (DECSA) which describes scheduling based on distance and energy, and the Energy efficient clustering algorithm for data aggregation (EECA) are discussed. The LECSA (Load and Energy Consumption based Scheduling Algorithm) are also discussed.

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  • SW9783960675334

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  • Artikelnummer SW9783960675334
  • Autor find_in_page Nithya Venkatachalam, Vaiyshnavi Perumal
  • Autoreninformationen Vaiyshnavi Perumal is working as a Lecturer in the Department of… open_in_new Mehr erfahren
  • Verlag find_in_page Anchor Academic Publishing
  • Seitenzahl 84
  • Veröffentlichung 20.04.2016
  • ISBN 9783960675334

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