title: Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs.
abstract: The design of movement trajectories for mobile sink plays an important role in data gathering for Wireless Sensor Networks (WSNs), as it affects the network coverage, and packet delivery ratio, as well as the network lifetime. In some scenarios, the whole network can be divided into subareas where the nodes are randomly deployed. The node densities of these subareas are quite different, which may result in a decreased packet delivery ratio and network lifetime if the movement trajectory of the mobile sink cannot adapt to these differences. To address these problems, we propose an adjustable trajectory design method based on node density for mobile sink in WSNs. The movement trajectory of the mobile sink in each subarea follows the Hilbert space-filling curve. Firstly, the trajectory is constructed based on network size. Secondly, the adjustable trajectory is established based on node density in specific subareas. Finally, the trajectories in each subarea are combined to acquire the whole network's movement trajectory for the mobile sink. In addition, an adaptable power control scheme is designed to adjust nodes' transmitting range dynamically according to the movement trajectory of the mobile sink in each subarea. The simulation results demonstrate that the proposed trajectories can adapt to network changes flexibly, thus outperform both in packet delivery ratio and in energy consumption the trajectories designed only based on the network size and the whole network node density.
authors.affiliation: Department of Computer Science and Engineering, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. gsyang@usst.edu.cn.|Shanghai Key Lab of Modern Optical Systems, Shanghai 20093, China. gsyang@usst.edu.cn.
authors.forename: Guisong
authors.initials: G
authors.lastname: Yang
authors.affiliation: Department of Computer Science and Engineering, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. shuailiu@st.usst.edu.cn.
authors.forename: Shuai
authors.initials: S
authors.lastname: Liu
authors.affiliation: Public Experiment Center, University of Shanghai for Science and Technology, Shanghai 200093, China. xy_he@usst.edu.cn.|College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China. xy_he@usst.edu.cn.
authors.forename: Xingyu
authors.initials: X
authors.lastname: He
authors.affiliation: Department of Computer Science and Engineering, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xiongnaixue@gmail.com.
authors.forename: Naixue
authors.initials: N
authors.lastname: Xiong
authors.affiliation: Department of Computer Science and Engineering, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. wcx@usst.edu.cn.
authors.forename: Chunxue
authors.initials: C
authors.lastname: Wu
keywords: Hilbert space-filling curve; mobile sink; movement trajectory; node density; power control