DECTBEEP: A Novel Differential Evolution Clustering Tree based Energy-Efficient Protocol for Data Aggregation in Context of WSN

Abstract

In current decades, the Wireless sensor networks (WSN) technology has occupied a pivotal role in the rapidly expanding research sector. There is an increasing amount of intriguing research being conducted on several aspects of WSNs, including localization, energy, quality of service, security, mobility, as well as topology change, among others. However, the research axis that has piqued the most interest among the scientific community would be that of energy conservation. WSNs are a technical revolution in measurement devices that has resulted from the convergence of tiny electronic systems with wireless communication systems.  Generally speaking, because of the limits imposed by downsizing, as well as high cost of production, sensor nodes are equipped with relatively restricted resources in terms of energy consumption as well as computational capability, data storage space, and transmission rate. These constraints serve as inspiration for a substantial portion of the study difficulties in area of WSN, particularly the energy constraint, which is crucial concern.

As result of this work, we have presented new approach for efficient clustering as well as data transmission in WSNs that is predicated on differential evolution method in order to reduce energy consumption while increasing network life cycle. This method is referred to as DECTBEEP protocol. Following that, it proceeded to selection of Gateway or parent node during intercommunication in the data transmission phase. The MATLAB programming language is applied to estimate overall efficiency of protocol under consideration. The findings of the simulation demonstrate that our contribution is energy efficient. From the simulated results revealed that the proposed DECTBEEP protocol takes minimum energy consumption and delay and also achieved high throughput and network lifetime.