An Efficient Deployment Scheme With Network Performance Modeling for Underwater Wireless Sensor Networks

计算机科学 计算机网络 网络性能 软件部署 无线传感器网络 分布式计算 网络拓扑 稳健性(进化) 网络仿真 无线网络 无线 电信 生物化学 化学 基因 操作系统
作者
Cangzhu Xu,Shanshan Song,Jun Liu,Yuanbo Xu,Shouheng Che,Bin Lin,Gaochao Xu
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:11 (5): 8345-8359 被引量:8
标识
DOI:10.1109/jiot.2023.3318222
摘要

A high-performance network deployment strategy supports fundamental network services, such as topology controls, protocol designs, and boundary detections in underwater wireless sensor networks (UWSNs). Existing deployment methods treat nodes within the communication range as connected. However, in addition to internode distance, packet errors and collisions are also significant factors for point-to-point connectivity. Furthermore, when allocating node locations, deployment strategies focus on maximizing coverage, ignoring the tradeoff between coverage and network performance (reliability, latency, and energy efficiency). To this end, an efficient deployment scheme with network performance modeling (EDNPM) is proposed, to provide reliable data transmission in a time-aware and energy-efficient way for UWSNs. Specifically, we first explore sensor locations' impact on communication and network factors, to improve the point-to-point connectivity and network performance. A network performance evaluation model (NPEM) is established to quantify performance metrics for guiding network deployment. Based on NPEM, network deployment is formulated as a multiobjective optimization problem, and we propose a novel network connection-constraint particle swarm optimization (NCPSO) algorithm to solve this problem. Notably, EDNPM is a unified network deployment framework for various underwater applications. Extensive experiments demonstrate that EDNPM outperforms other deployment algorithms in terms of network performance, and robustness with different network settings.
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