Reduction of Energy Consumption using Self-Organizing Tree for Wireless Sensor Networks.

The Wireless Sensor Network (WSN) composed of several nodes are 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 work, the details of Low Energy Adaptive Clustering Hierarchy (LEACH) which introduced 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 about scheduling based on distance and energy and the Energy efficient clustering algorithm for data aggregation (EECA) were discussed. The LECSA (Load and Energy Consumption based Scheduling Algorithm) has also been discussed. Based on that, in this proposed work, the cluster head finds the nearest active node in the neighbor cluster and then it forwards its data to it. From all the cluster heads the data reaches the sink not directly, but by using a self-organized efficient routing algorithm.