Optimizing Energy Consumption and Network Lifetime in Wireless Sensor Networks Using Ant Colony Optimization

G. Pushpalatha, Y. Urukunda and G. Uma Maheswar Reddy

International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 2, 65-71

Abstract: Wireless Sensor Networks (WSNs) are widely used for monitoring and data collection in various applications, but their limited energy resources often lead to reduced node lifetime, which is a critical challenge. This paper proposes an innovative approach to improve the lifetime of nodes in WSNs using Ant Colony Optimization (ACO). ACO, a nature-inspired optimization algorithm, is applied to optimize the routing paths and energy consumption in the network. The proposed method focuses on enhancing the number of node connections, minimizing the path length, and efficiently managing energy consumption. Experimental results demonstrate that the application of ACO in WSNs yields significant improvements, with energy consumption of 0.7 W over 400 iterations, leading to an increase in network lifetime and more effective utilization of available energy resources. The approach shows promise for improving the performance and sustainability of WSNs in various real-time monitoring applications.

Keywords: Wireless Sensor Networks (WSNs); Ant Colony Optimization (ACO); Node Lifetime; Energy Consumption; Routing Optimization; Path Length; Network Sustainability; Real-time Monitoring; Optimization Algorithm; Energy-Efficient Routing (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST25122201 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST25122201/IJSRST25122201 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i2:id:631

DOI: 10.32628/IJSRST25122201

Access Statistics for this article

More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().