Abstract:
Wireless sensor networks are crucial in various applications, such as environmental
monitoring, smart agriculture, and industrial automation, where sensors autonomously collect
and transmit data. A major challenge in wireless sensor networks is extending network lifetime,
limited by the battery power of each sensor. This study introduces a novel approach called
"Cluster Forming Procrastination" to improve energy efficiency and prolong the network's
operational life. Typically, cluster-based grouping is used to reduce energy consumption by
aggregating data locally before transmission. However, frequent re-clustering results in
additional energy usage, thereby reducing network lifetime.
By delaying the re-clustering process until necessary, energy is conserved through
reduced clustering frequency and cluster leader selection. This study presents an analysis of
the feasibility of cluster forming procrastination by simulating various network conditions. The
findings indicate that this method can significantly reduce overall energy consumption in the
network, extending the lifetime of wireless sensor networks without compromising data quality
or communication reliability. Optimizing the timing of cluster formation makes this method a
viable option for enhancing the sustainability of wireless sensor networks in energy-sensitive
environments.