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Optimal Routing for Emergency Navigation using Swarm Intelligence

Balaji Mupparaju*, Prabhas Mandru**, U. Ganesh Sharma***

*-*** Vasireddy Venkatadri Institue of Technology, Guntur, Andhra Pradesh, India.

Periodicity:January - June'2025

Abstract

Emergencies are abrupt, unanticipated, and frequently life-threatening circumstances that need prompt attention and action in order to avoid injury, reduce damage, or save lives. People must be able to quickly find the closest emergency services, including hospitals, fire stations, or police stations, in these situations. Because of things like shifting traffic patterns and erratic road conditions, navigating today's complicated metropolitan environments to find the most effective path to these services can be difficult. By supplying real-time data, such as traffic conditions, weather updates, vehicle speeds, and details about different zones within a region, Vehicle Ad-Hoc Networks (VANETs) provide a solution. The best paths to the closest emergency services can be quickly determined by utilizing the data gathered by Wireless Sensor Networks (WSNs) and swarm intelligence algorithms, particularly Ant Colony Optimization (ACO).This creative method has the potential to save many lives in dire circumstances in addition to saving a significant amount of time.

Keywords

Vehicular Ad-hoc Networks (VANETS), Swarm intelligence, Ant Colony Optimization (ACO), Wireless Sensor Networks (WSNs), Routing Algorithms.

How to Cite this Article?

Mupparaju, B., Mandru, P., and Sharma, U. G. (2025). Optimal Routing for Emergency Navigation using Swarm Intelligence. International Journal of Computing Algorithm, 14(1), 49-64.

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Optimal Routing for Emergency Navigation using Swarm Intelligence

Abstract

Keywords

How to Cite this Article?

References

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