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International Journal of Electrical and Computer Engineering Systems, Vol. 13 No. 7, 2022.

Original scientific paper

https://doi.org/10.32985/ijeces.13.7.3

A Hybrid Modified Ant Colony Optimization - Particle Swarm Optimization Algorithm for Optimal Node Positioning and Routing in Wireless Sensor Networks

Shaik Imam Saheb ; JNTUA College of Engineering, Research Scholar,Department of Computer Science and Engineering Ananthapuramu, Andhra Pradesh, 515002, India
Khaleel Ur Rahman Khan ; ACE Engineering College, Professor & Dean Academics,Department of Computer Science and Engineering Hyderabad, 501301, India
C. Shoba Bindu ; JNTUA College of Engineering, Professor,Department of Computer Science and Engineering Ananthapuramu, Andhra Pradesh, 515002, India

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page 515-523

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Abstract

Wireless Sensor Networks (WSNs) have been widely deployed in hostile locations for environmental monitoring. Sensor placement and energy management are the two main factors that should be focused due to certain limitations in WSNs. The nodes in a sensor network might not stay charged when energy draining takes place; therefore, increasing the operational lifespan of the network is the primary purpose of energy management. Recently, major research interest in WSN has been focused with the essential aspect of localization. Several types of research have also taken place on the challenges of node localization of wireless sensor networks with the inclusion of range-free and range-based localization algorithms. In this work, the optimal positions of Sensor Nodes (SNs) are determined by proposing a novel Hybrid M-ACO – PSO (HMAP) algorithm. In the HMAP method, the improved PSO utilizes learning strategies for estimating the relay nodes' optimal positions. The M-ACO assures the data conveyance. A route discovers when it relates to the ideal route irrespective of the possibility of a system that includes the nodes with various transmission ranges, and the network lifetime improves. The proposed strategy is executed based on the energy, throughput, delivery ratio, overhead, and delay of the information packets.

Keywords

wireless network; PSO; modified ACO; HMAP algorithm; node placement; relay node selection

Hrčak ID:

284947

URI

https://hrcak.srce.hr/284947

Publication date:

30.9.2022.

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