Ambulance Fastest Path Using Ant Colony Optimization Algorithm

Hamdi, Hazar; Arfaoui, Nouha; Mashhour, Yasser Al; Akaichi, Jalel

doi:10.1007/978-3-319-59480-4_40

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…After horrifying car accidents, the time it takes to transfer the wounded to a hospital determines the survival or death of the wounded. ACO has been utilized to devise a method for choosing the optimal route for ambulances to reach the crash scene as fast as possible [ 80 ]. During the search for optimal routes, factors such as traffic and natural disasters are taken into account as well.…”

Section: Application Of Si In Iot/iomtmentioning

confidence: 99%

Swarm Intelligence in Internet of Medical Things: A Review

Alizadehsani

Roshanzamir

Izadi

et al. 2023

Sensors

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Continuous advancements of technologies such as machine-to-machine interactions and big data analysis have led to the internet of things (IoT) making information sharing and smart decision-making possible using everyday devices. On the other hand, swarm intelligence (SI) algorithms seek to establish constructive interaction among agents regardless of their intelligence level. In SI algorithms, multiple individuals run simultaneously and possibly in a cooperative manner to address complex nonlinear problems. In this paper, the application of SI algorithms in IoT is investigated with a special focus on the internet of medical things (IoMT). The role of wearable devices in IoMT is briefly reviewed. Existing works on applications of SI in addressing IoMT problems are discussed. Possible problems include disease prediction, data encryption, missing values prediction, resource allocation, network routing, and hardware failure management. Finally, research perspectives and future trends are outlined.

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Section: Application Of Si In Iot/iomtmentioning

confidence: 99%