| Title | Resource-constrained task assignment for event-driven sensing using public bicycles in smart cities |
|---|---|
| ID_Doc | 44327 |
| Authors | Chang, CP; King, CT |
| Title | Resource-constrained task assignment for event-driven sensing using public bicycles in smart cities |
| Year | 2019 |
| Published | International Journal Of Ad Hoc And Ubiquitous Computing, 30, 2 |
| Abstract | Many cities have provided public bicycle services to reduce traffic congestion and air pollution. Mobility of public bicycles makes them very suitable for event-driven sensing for smart cities, i.e., collecting data relevant to special events such as car accidents or street parades. The problem is how to assign a set of bicycles to best fulfil the sensing mission, considering the constrained storage, battery energy, and communication capability of bicycles. The problem is referred to as the resource-constrained task assignment for event-driven sensing (ReConTAES). The goal is to minimise the number of bicycles used, while balancing the energy consumption of the selected bicycles. We first formulate the problem as a mixed integer programming and then propose a set of greedy heuristics to solve the problem. We evaluate the proposed algorithms by using real trajectories to show their feasibility. |
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