intel-LEACH: An optimal framework for node selection using dynamic clustering for wireless sensor networks

Abstract

Over the last decade, the field of Wireless Sensor Networks (WSNs) has made expansive strides in the area of Radio Communication Systems. A vast majority of these systems are deployed in failure-prone environments which results in chronic communication losses due to unreliable wireless connections, malicious attacks and resource-constrained features. Hence WSNs necessitate adaptive protocol frameworks applicable for differing network densities either as sparse or denser deployments. One of the major challenges in WSNs is to achieve an optimal trade-off between data precision and energy efficiency of a sensor node from the perspective of network longevity. In this article, we propose an optimized protocol intel-LEACH for selecting high yield nodes among randomly deployed sensor nodes based on dynamic optimization strategy. Our proposed model selects a node that can guarantee higher data precision and has maximal residual energy to serve as a cluster head (CH). Meanwhile, the others sensor nodes apart from CHs must also exhibit capability in terms of data transmission accuracy to join a given cluster irrespective of the distance between the sensor nodes and CHs. Thus our model minimizes loss of high yield nodes for every round and overall WSN performance is boosted by its network lifetime extension.