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Here, the fraction of the total city area represented by each zone is displayed as well.
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The base of each zone is defined by the first occurrence of the taxon.
Each zone is managed by a CH located at x m ∉Φ.
Moreover, each zone is specified by the number of hops away from the BS.
Each zone is divided by the BS into squares where there is at least one sensor node into each square.
The objective of the model is to determine the optimal number of zones in an area where each zone is served by a number of on-demand vehicles.
In tandem automated guided vehicle (AGV) systems, all the work stations (processing centers) are partitioned into non-overlapping zones, where each zone is served by a dedicated vehicle.
Since an MAS has the duration of 256 μ s, each zone is separated by 4.096 ms from each neighboring one.
We propose a multi-agent-based architecture for the management of Emergency Supply Chains (ESCs), in which each zone is controlled by an agent.
This process begins with first sample from highest depth and proceeds to lowest depth and then the zonation coefficient of each zone is calculated by Eqs.
Each zone is determined by its functions, such as teaching buildings, dormitory areas, playgrounds, and dining rooms in a university campus.
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