Energy Efficient for Data Aggregation in Wireless Sensor Networks

Abstract

Abstract: The Wireless Sensor Networks (WSNs), known for their decentralized and self-configuring properties, utilize sensor nodes to collect and transmit data to a base station. However, due to their sprawling nature and the substantial distances involved, energy management remains a critical challenge in WSNs. To mitigate this, hierarchical clustering has been identified as an effective strategy. This approach involves dividing the network into clusters of a predetermined size, each led by a cluster head selected based on their energy levels and proximity to the base station. The chosen head is typically the node with the least distance to the base station and the highest energy reserve. These heads facilitate inter-cluster communication and data transfer to the base station. This research presents the implementation and enhancement of the WEMER protocol, aimed at prolonging the lifespan of WSNs. The WEMER protocol initially segments the network into clusters with respective heads and designates leader nodes to relay data from the cluster heads to the base station. Enhancements to this protocol include the deployment of gateway nodes close to the base station. These nodes receive data from the leader nodes, which in turn acquire data from the cluster heads, thus boosting network longevity. Implemented and tested in MATLAB, the enhanced WEMER protocol demonstrates significant improvements over its predecessor. The results indicate a reduction in the number of inactive (dead) nodes, an increase in active (alive) nodes, a higher data packet transmission rate, and improved overall energy efficiency.