12 December 2018 The mobile sensor nodes scheduling algorithm based on grid competition in UWSNs
Author Affiliations +
Proceedings Volume 10850, Ocean Optics and Information Technology; 108500I (2018) https://doi.org/10.1117/12.2505377
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China
Abstract
The deployment of sensors in Underwater Wireless Sensor Networks (UWSNs) is a fundamental issue in underwater wireless communications. Aiming at the problem of sensor nodes failure caused by the collection of information and too much data transformation in the deployment of sensor of UWSNs, the mobile sensor nodes scheduling algorithm based on grids competition in UWSNs is proposed. Firstly, a hexagonal grid partition model is designed to reduce the communication energy consumption combined with existing of grid computing. On the basis of the model, the energy consumption analysis and mathematical model of sensor node scheduling are given. Further, a length-search message exchange mechanism involved in the model is developed. Hence the scheduling plan among the grids can be computed therefore, the whole algorithm is proposed. Finally, simulation experiments illustrate the rationality and effectiveness of the proposed algorithm. The simulation results show that the proposed algorithm can significantly reduce the communication energy consumption and mobile consumption of sensor nodes. In a conclusion, the energy balance among sensor nodes can be guaranteed, and the network lifetime can be extended somewhat.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuan-ming Ding, Fang Liu, Na-na Li, Ran Zhang, and Yang Yang "The mobile sensor nodes scheduling algorithm based on grid competition in UWSNs", Proc. SPIE 10850, Ocean Optics and Information Technology, 108500I (12 December 2018); doi: 10.1117/12.2505377; https://doi.org/10.1117/12.2505377
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
Back to Top