Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs
AbstractThe 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. View Full-Text
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Yang, G.; Liu, S.; He, X.; Xiong, N.; Wu, C. Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs. Sensors 2016, 16, 2091.
Yang G, Liu S, He X, Xiong N, Wu C. Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs. Sensors. 2016; 16(12):2091.Chicago/Turabian Style
Yang, Guisong; Liu, Shuai; He, Xingyu; Xiong, Naixue; Wu, Chunxue. 2016. "Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs." Sensors 16, no. 12: 2091.
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