ZHANG Min, MU Tian-yuan, QIAO Xue-gong. Localization Algorithm in Underwater Sensor Networks Based on Low-energy Self-healing[J]. Microelectronics & Computer, 2016, 33(3): 107-110.
Citation: ZHANG Min, MU Tian-yuan, QIAO Xue-gong. Localization Algorithm in Underwater Sensor Networks Based on Low-energy Self-healing[J]. Microelectronics & Computer, 2016, 33(3): 107-110.

Localization Algorithm in Underwater Sensor Networks Based on Low-energy Self-healing

  • In underwater wireless sensor network application, to solve the problem that anchor nodes are likely to die faster than sensor nodes since their high energy consumption in traditional DV-Hop algorithm, an improved DV-Hop algorithm (LSLA) is proposed based on low-energy self-healing. This algorithm finds a set of sensor nodes to substitute for any anchor node when its energy is less than the threshold, while this algorithm corrects the results of the initial positioning in circle. The simulation results show that the improved algorithm can improve the positioning accuracy effectively and prolong the anchor nodes lifetime comparing with conventional DV-Hop algorithm.
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