Cao Jiabao, Dou Jinfeng, Liu Jilong, Li Hongzhi, Chen Hao
School of Science, Qingdao University of Technology, Qingdao 266520, China.
College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China.
Sensors (Basel). 2023 Jul 27;23(15):6733. doi: 10.3390/s23156733.
Energy-efficient and reliable underwater acoustic communication attracts a lot of research due to special marine communication conditions with limited resources in underwater acoustic sensor networks (UASNs). In their final analysis, the existing studies focus on controlling redundant communication and route void that greatly influence UASNs' comprehensive performances. Most of them consider directional or omnidirectional transmission for partial optimization aspects, which still have many extra data loads and performance losses. This paper analyzes the main issue sources causing redundant communication in UASNs, and proposes a lightweight differentiated transmission to suppress extra communication to the greatest extent as well as balance energy consumption. First, the layered model employs layer ID to limit the scale of the data packet header, which does not need depth or location information. Second, the layered model, fuzzy-based model, random modeling and directional-omnidirectional differentiated transmission mode comb out the forwarders step by step to decrease needless duplicated forwarding. Third, forwarders are decided by local computation in nodes, which avoids exchanging controlling information among nodes. Simulation results show that our method can efficiently reduce the network load and improve the performance in terms of energy consumption balance, network lifetime, data conflict and network congestion, and data packet delivery ratio.
由于水下声学传感器网络（UASN）中资源有限的特殊海洋通信条件，节能且可靠的水下声学通信吸引了大量研究。归根结底，现有研究集中于控制对UASN综合性能有重大影响的冗余通信和路由空洞。其中大多数针对部分优化方面考虑定向或全向传输，这仍然存在许多额外的数据负载和性能损失。本文分析了导致UASN中冗余通信的主要问题来源，并提出了一种轻量级的差异化传输，以最大程度地抑制额外通信并平衡能耗。首先，分层模型使用层ID来限制数据包头部的规模，这不需要深度或位置信息。其次，分层模型、基于模糊的模型、随机建模和定向-全向差异化传输模式逐步梳理转发器，以减少不必要的重复转发。第三，转发器由节点中的本地计算决定，这避免了在节点之间交换控制信息。仿真结果表明，我们的方法可以有效降低网络负载，并在能耗平衡、网络寿命、数据冲突和网络拥塞以及数据包交付率方面提高性能。
