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Published in:
2019 | OriginalPaper | Chapter
Fuzzy Probabilistic Topology Control Algorithm for Underwater Wireless Sensor Networks
Authors : Wenhao Ren, Kun Hao, Cheng Li, Xiujuan Du, Yonglei Liu, Li Wang
Published in: Artificial Intelligence for Communications and Networks
Publisher: Springer International Publishing
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Abstract
Aiming at the problem that the underwater wireless sensor network is limited in energy and the underwater topology is susceptible to the dynamic environment, this paper designs an AUV-assisted fuzzy probability power topology control (FPPTC) algorithm by introducing AUV nodes and clusters generated by clustering. Head node communication reduces power consumption of low energy nodes. According to the data deviation value between the current data value of the AUV node and the target parameter, the adjustment probability of the transmission power is determined, and the transmission power of the AUV node is adjusted to an optimal value to reduce the underwater topology energy consumption, prolong the network life cycle, and improve the network. The purpose of communication quality. The simulation results show that the FPPTC algorithm can improve network coverage, slow down node failure speed and extend network life cycle.