AUV-Aided Energy-Efficient Data Collection in Underwater Acoustic Sensor Networks
AUV-Aided Energy-Efficient Data Collection in Underwater Acoustic Sensor Networks
复制标题
AUV 辅助水声传感器网络中的节能数据收集
DOI：
10.1109/jiot.2020.2988697
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发表时间：
2020-04
影响因子：
10.6
通讯作者：
Rui Sun
中科院分区：
文献类型：
--
作者：
Xiaoxiao Zhuo;Meiyan Liu;Yan Wei;Gu;ing Yu;Fengzhong Qu;Rui Sun
With the development of the Internet of Underwater Things (IoUT), two critical problems have been prominent, i.e., the energy constraint of underwater devices and large demand for data collection. In this article, we introduce an autonomous underwater vehicle (AUV)-aided underwater acoustic sensor networks (UWSNs) to solve these problems. To improve the performance of UWSNs, we formulate an optimization problem to maximize the energy consumption utility, which is defined to balance the energy consumption and network throughput. To solve this optimization problem, we decompose it into four parts. First, due to the constraint of communication distance, we construct a cluster-based network and formulate the selection of cluster heads as a maximal clique problem (MCP). Second, the clustering algorithm is proposed. Third, we design a novel media access control (MAC) protocol to coordinate data transmission between AUV and cluster heads, among intracluster nodes, as well as among intercluster nodes. Finally, path planning of AUV is formulated as a traveling salesman problem to minimize AUV travel time. Based on the above analysis, two algorithms, namely, AUV-aided energy-efficient data collection (AEEDCO) and approximate AUV-aided energy-efficient data collection (AEEDCO-A), are developed accordingly. The simulation results show that the proposed algorithms perform well and are very promising in UWSNs with demand for large-scale communication, large system capacity, long-term monitoring, and high data traffic load.
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