Improved Scheduling Algorithm Using Dynamic Tree Construction for Wireless Sensor Networks
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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 ...
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.
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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