Abstract
This paper proposes two heuristic approaches to solve the Multi-Service Capacitated Facility Location Problem. This problem covers assigning equipment to access points, offering multiple services in a Smart City context. The access points should offer the services to the customer and fulfil their demand, given the coverage of the service and their capacity constraints. Both the heuristic approaches solve the assignment problem for the services separately and combine the solutions of the step together. One of them, however, updates the cost parameters between consecutive steps and produce near optimal solutions in reasonable time compared to the solution obtained from solving an integer linear programming problem exactly.
Highlights
The smart city concept is intended to cope with or reduce problems like mobility, and energy supply which arise from urbanisation and population growth [1]
In this paper, which is an extended version of [3], we look at the smart city access network planning from the side of offering multiple services to the inhabitants of the city
We optimised the distribution of multiple services in urban areas
Summary
The smart city concept is intended to cope with or reduce problems like mobility, and energy supply which arise from urbanisation and population growth [1]. In this paper, which is an extended version of [3], we look at the smart city access network planning from the side of offering multiple services to the inhabitants of the city. The smart city access network should be efficient in covering the demand of all the services together. Computers 2018, 7, 67 including multiple types of service deployments, is proposed in [8] It develops a system, which makes use of big data, for urban planning, and smart city evolution. Their developed four-tier architecture does not show how the various services should be distributed.
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