More routing protocols have recently been devised for improved data routing in Wireless Sensor Networks (WSN). Link failures do, however, occur in the network as a result of low energy node emergence, poor connectivity across link gaps during routing, low node trust value, etc. Ant Colony Optimization (ACO) one of the bio-inspired algorithms is used in sensor networks to calculate the optimum paths and reduce energy usage. For improved network dependability, an Optimal Routing and Packet Scheduling using ACO scheme is proposed. Using pilot nodes with a high linkage connection factor, the best path is established. To select the best and optimal route the better pilot nodes are elected from the available sub-pilot nodes on basis of node reputation, energy reserve, and distance and bandwidth requirements. The sensed information packets are analyzed by using packet scheduling algorithm and the higher priority packets are forwarded at the earliest through pilot nodes. The presented approach has better delivery rates with a reduced energy consumption rate, according to the performance criteria.
Keywords
Ant Colony Optimization, Bandwidth Coherence, Energy State, Pilot Nodes, Packet Scheduler.
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Conceptualization: Thirunavukkarasu V, Senthil Kumar A, Saritha K and Lakshmi S;
Methodology: Thirunavukkarasu V and Senthil Kumar A;
Writing- Original Draft Preparation: Thirunavukkarasu V, Senthil Kumar A, Saritha K and Lakshmi S;
Visualization: Saritha K and Lakshmi S;
Investigation: Thirunavukkarasu V and Senthil Kumar A;
Supervision: Saritha K and Lakshmi S;
Validation: Thirunavukkarasu V and Senthil Kumar A;
Writing- Reviewing and Editing: Thirunavukkarasu V, Senthil Kumar A, Saritha K and Lakshmi S; All authors reviewed the results and approved the final version of the manuscript.
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Senthil Kumar A
Department of Electronics and Communication Engineering, Kings Engineering College, Chennai, Tamil Nadu, India.
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Cite this article
Thirunavukkarasu V, Senthil Kumar A, Saritha K and Lakshmi S, “ACO Scheme for Optimistic Routing and Packet Scheduling in Wireless Sensor Networks”, Journal of Machine and Computing, vol.5, no.3, pp. 1763-1772, July 2025, doi: 10.53759/7669/jmc202505139.
