Presenting a New Strategy Using Density Clustering to Reduce Energy Consumption in Wireless Sensor Networks

Presenting a New Strategy Using Density Clustering to Reduce Energy Consumption in Wireless Sensor Networks

Wireless sensor networks include a large number of small sensor nodes that sensitize the environment and post-processing sensory information to be sent wirelessly to the base station. Due to the fact that the supply of energy from sensors through limited battery power will limit the lifetime of these sensors. Therefore, energy limitation and network lifetime are one of the most important challenges in this type of network. The method by which the cluster selection by the base station and then by constructing the routing tree to direct the packets to the destination maximizes the life span of the network and reduces energy consumption. To benefit from the effectiveness of cluster-based routing algorithms, the new clustering algorithm has been proposed using hierarchical clustering based on energy and using clustering of sensor nodes to enhance the lifespan of wireless sensor networks.

Wireless sensor networks include a large number of small sensor nodes that sensitize the environment and post-processing sensory information to be sent wirelessly to the base station. Due to the fact that the supply of energy from sensors through limited battery power will limit the lifetime of these sensors. Therefore, energy limitation and network lifetime are one of the most important challenges in this type of network. The method by which the cluster selection by the base station and then by constructing the routing tree to direct the packets to the destination maximizes the life span of the network and reduces energy consumption. To benefit from the effectiveness of cluster-based routing algorithms, the new clustering algorithm has been proposed using hierarchical clustering based on energy and using clustering of sensor nodes to enhance the lifespan of wireless sensor networks.