A new framework for distributed clustering based data aggregation in WSN
Anuj Kumar Singh, Shashi Bhushan, Ashish Kumar
Abstract
Wireless sensor networks (WSNs) are used in a variety of applications, such as industrial control systems, environmental monitoring, military applications, and structural health monitoring. Energy consumption is a key factor in the lifespan of a WSN, as all sensor nodes are energy-constrained devices. In order to improve energy efficiency, various routing protocols have been developed. These protocols aim to establish paths between sensor nodes and a data sink, while also maximizing the lifespan of the network. However, designing such protocols can be challenging due to the resource and power constraints, as well as the harsh conditions in which sensor nodes often operate. In this paper, a novel approach is proposed for improving energy efficiency in WSNs through the use of a distributed clustering-based data aggregation (DCDA) algorithm. In this approach, we use a grid structure as the basis for clustering, with each cluster having a designated cluster head (CH). Rather than transmitting data directly to the base station (BS), sensor nodes (SNs) send their data to their cluster head, which then aggregates and transmits the data to the BS. This approach can extend the network lifetime by reducing the energy required for communication between SNs. Simulations were conducted to evaluate the performance of the DCDA algorithm in a grid-based WSN. The results showed that using the specified parameters for clustering in the protocol significantly reduces the overall energy consumption of the entire network.