Urban environment monitoring is critical for smart cities, but it is challenging because of the complex city environment. Unfortunately, traditional approaches, for example, wireless sensor networks and satellite-based monitoring, have many constraints in practice. In this article, we propose to use heterogeneous unmanned vehicles to monitor an urban environment and study their collaboration in computing workload sharing. Given a number of tasks and vehicles, an efficient algorithm has been proposed to maximize the total weight of completed tasks. Simulation results show that our proposed algorithm significantly outperforms two other heuristic algorithms.
ASJC Scopus subject areas
- Information Systems
- Hardware and Architecture
- Computer Networks and Communications