| 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 |
| DOI |
10.1504/IJAHUC.2019.097638 |
| 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. |
| Author Keywords |
smart city; urban sensing; data collection; PBS; public bicycle system |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000459619400003 |
| WoS Category |
Computer Science, Information Systems; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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