Abstract:
Fog Computing extends traditional cloud based services to the edge
of the network, close to where the data is generated. This technology fills a performance void in the cloud-to-thing architecture. By
leveraging Fog Computing, the computation, storage, communication and decision making can be carried out by fog nodes. Due to
significant latency, the cloud is not the best option for emergency
response services, such as fire-fighting. For efficient fire-fighting,
decisions should be made accurately and rapidly. In this paper, we
propose an algorithm called FAFCA (Fog Assisted Fire Control
Algorithm). In the wake of a fire in a building , this algorithm efficiently routes the evacuees to the shortest and least congested
exits in a short span of time. The crux of the algorithm is that due
to the lower communication delay between the fog nodes and the
evacuees, data processing is done faster, which results in making
evacuation decisions rapidly. The best path for the evacuees present
in the building is calculated by the algorithm after taking various
parameters into account, such as exit capacity, distance to exits and
distribution of evacuees. Simulation results show that our proposed
algorithm FAFCA decreases the latency as well ascost significantly,
when compared to a cloud based algorithm and a random path
selection algorithm.
