Brief:Â
Traditional wireless sensor networks (WSNs) transmit sensory data through multi-hop communications. The uneven flow rate at each sensor node leads to varying node lifetime. Some heavily loaded nodes usually run out of energy quickly, resulting in that some nodes being disconnected from the base station. To address such an issue, the concept of mobile sinks has been introduced. There is a huge research work on the mobile sink topic. This project tackled several issues including the path planning of mobile robots considering their dynamic models and the uneven sensing rate, data transmission protocol when mobile sinks are attached on buses (having timetable), and uneven clustering for sensor nodes to address the uneven energy consumption rate problem.
Published papers related to this project:
H. Huang, A. Savkin, M. Ding, C. Huang, Mobile Robots in Wireless Sensor Networks: A Survey on Tasks, Computer Networks, 2019.
H. Huang, A. Savkin, Viable path planning for data collection robots in a sensing field with obstacles, Computer Communications, 2017.
H. Huang, A. Savkin, C. Huang, I-UMDPC: The improved-unusual message delivery path construction for wireless sensor networks with mobile sinks, IEEE Internet of Things Journal, 2017.
H. Huang, A. Savkin, An energy efficient approach for data collection in wireless sensor networks using public transportation vehicles, AEU-International Journal of Electronics and Communications, 2017.