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RACO Investment Shares Proven Strategies: Elevate Warehouse Efficiency and Slash Costs Today webwire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from webwire.com Daily Mail and Mail on Sunday newspapers.
RACO Investment's Cutting-Edge Solutions: Navigate Transportation Costs with Smart Shipping Strategies webwire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from webwire.com Daily Mail and Mail on Sunday newspapers.
In Internet of Things (IoT) networks, Unmanned Aerial Vehicles (UAVs) play a critical role as mobile nodes that can be deployed to carry out data collection and computation. In this respect, this paper considers an operator that deploys UAVs to satisfy requests from IoT applications that require Virtual Network Functions (VNFs) that may communicate with one another to be executed at different geographical locations. To this end, this paper formulates a novel Mixed Integer Linear Program (MILP) to determine the optimal assignments of UAVs and VNFs over a planning horizon that maximizes a given performance metric, e.g., revenue. It also outlines a heuristic method named MPopLoc that chooses requests according to popular requested locations and traveling cost of UAVs. The results show that MPopLoc achieved approximately 95.14% of the optimal result. ....
Penn Medicine's IT road map beckershospitalreview.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from beckershospitalreview.com Daily Mail and Mail on Sunday newspapers.
Many industries now rely on drones to monitor infrastructures. In this respect, this article considers maximizing the revenue of an Industrial Internet of Things operator that provides two services: 1) data trading; and 2) drones rental. In service 1), the operator sells data of locations/points it acquired via drones. For service 2), it rents idle drones to users. The problem at hand is to determine the allocation of drones to services 1) and 2) that maximizes the operator's revenue over a given planning horizon. We outline a novel integer linear program (ILP) to solve the said problem, which can be used to determine the optimal number of drones assigned to both services. The ILP, however, requires an exhaustive collection of drone trajectories. We therefore present two heuristics called weighted-based algorithm (WBA) and genetic algorithm (GA) to generate trajectories for data collection. The results show that WBA earns 95.6% of the optimal revenue. GA is able to achieve 99% of ....