An optimal Algorithm based on gridding and clustering for decrease energy consumption in WSN

A wireless sensor network is a deployment of massive numbers of small, inexpensive, low energy devices that can sense, compute and communicate with other devices for the purpose of gathering local information from a physical environment. Wireless Sensor Networks are tightly constrained in energy, thus require careful resource management. We have clustering based protocols such as LEACH, which gather data from sensors of clusters and tried to decrease data transmission and energy consumption to reduce data redundancy in each cluster. But aggregation operation in clustering uses only some functions which lonely can´t reduce data redundancy alone. This proposed approach emphasizes on increasing network lifetime which reduces data redundancy via clustering algorithms and gridding.