An Enriched Mobile Data Gathering and Dual Data in WSN

Abstract

Wireless Sensor network is an emerging technology as of today. WSNs quite often consist of a huge quantity of small sensor node swath constrained on board power deliver and deployed densely in a given subject for expertise harvesting functions. Seeing that the sensor tools have restricted memory and power capacity, the energy consumption in WSN data gathering turns into as an important drawback now a days. The target is to acquire good scalability, lengthy network lifetime and low data collection latency. At the sensor layer, a distributed load balanced clustering (LBC) algorithm is proposed for sensors to self-prepare themselves into clusters. We're going to use clustering algorithm which makes use of two cluster heads which helps dual data uploading. In the cluster head layer we're going to decide upon two cluster heads and transmit the info to the data collector layer, which is liable for sending the info to the base station utilizing gateways.