2020
DOI: 10.1109/tla.2020.9082735
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Proposal of Fibonacci Heap in the Dijkstra Algorithm for Low-power Ad-hoc Mobile Transmissions

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“…Step 4 : Finally, the shortest distance SD min , from source to destination node can be estimated by; see Eq 3 , All nodes in the graph have been visited and the shortest distance from the source to the destination node is established and estimated by Eq 3 , where dist ( u ij ) are a scalar quantity and weight or path cost is a vector quantity. This approach is implemented by adopting the Fibonacci Heap with minimum priority queueing [ 34 ] and adjacency list data structure with time complexity shown by Eq 4 . Where | E | represents the number of edges and | V | represents the number of nodes.…”
Section: The Proposed Mechanism—prioritized Shortest Path Computation...mentioning
confidence: 99%
“…Step 4 : Finally, the shortest distance SD min , from source to destination node can be estimated by; see Eq 3 , All nodes in the graph have been visited and the shortest distance from the source to the destination node is established and estimated by Eq 3 , where dist ( u ij ) are a scalar quantity and weight or path cost is a vector quantity. This approach is implemented by adopting the Fibonacci Heap with minimum priority queueing [ 34 ] and adjacency list data structure with time complexity shown by Eq 4 . Where | E | represents the number of edges and | V | represents the number of nodes.…”
Section: The Proposed Mechanism—prioritized Shortest Path Computation...mentioning
confidence: 99%