Underwater magnetic induction(MI)-assisted acoustic cooperative multiple-input-multipleoutput(MIMO) has been recently proposed as a promising technique for underwater wireless sensor networks(UWSNs).For the more,the e...Underwater magnetic induction(MI)-assisted acoustic cooperative multiple-input-multipleoutput(MIMO) has been recently proposed as a promising technique for underwater wireless sensor networks(UWSNs).For the more,the energy utilization of energy-constrained sensor nodes is one of the key issues in UWSNs,and it relates to the network lifetime.In this paper,we present an energy-efficient data collection for underwater MI-assisted acoustic cooperative MIMO wireless sensor networks(WSNs),including the formation of cooperative MIMO and relay link establishment.Firstly,the cooperative MIMO is formed by considering its expected transmission range and the energy balance of nodes with it.Particularly,from the perspective of the node’s energy consumption,the expected cooperative MIMO size and the selection of master node(MN) are proposed.Sequentially,to improve the coverage of the networks and prolong the network lifetime,relay links are established by relay selection algorithm that using matching theory.Finally,the simulation results show that the proposed data collection improves its efficiency,reduces the energy consumption of the master node,improves the networks’ coverage,and extends the network lifetime.展开更多
以压缩感知理论为基础,研究物理干扰模型下的无线传感器网络数据收集问题,将其建模为转发树构建和链路调度联合问题(forwarding tree construction and scheduling,FTCS)。FTCS问题属于NP难题,提出一种可以实现转发树构建和链路调度子...以压缩感知理论为基础,研究物理干扰模型下的无线传感器网络数据收集问题,将其建模为转发树构建和链路调度联合问题(forwarding tree construction and scheduling,FTCS)。FTCS问题属于NP难题,提出一种可以实现转发树构建和链路调度子问题的分布式求解算法,目标是确定一组转发树,在转发树调度后于最短调度周期内将测量数据发往汇点,在传输延时和采集能效间实现平衡。仿真结果表明,所提算法在降低数据传输延时和提高能效等方面的性能要优于目前典型的数据收集方法。展开更多
基金supported in part by the program for "Industrial Io T and Emergency Collaboration" Innovative Research Team in CUMT (No.2020ZY002)in part by the Postgraduate Research&Practice Innovation Program of Jiangsu Province,2021WLKXJ054Postgraduate Research&Practice Innovation Program of China University of Mining and Technology,KYCX21_2242
文摘Underwater magnetic induction(MI)-assisted acoustic cooperative multiple-input-multipleoutput(MIMO) has been recently proposed as a promising technique for underwater wireless sensor networks(UWSNs).For the more,the energy utilization of energy-constrained sensor nodes is one of the key issues in UWSNs,and it relates to the network lifetime.In this paper,we present an energy-efficient data collection for underwater MI-assisted acoustic cooperative MIMO wireless sensor networks(WSNs),including the formation of cooperative MIMO and relay link establishment.Firstly,the cooperative MIMO is formed by considering its expected transmission range and the energy balance of nodes with it.Particularly,from the perspective of the node’s energy consumption,the expected cooperative MIMO size and the selection of master node(MN) are proposed.Sequentially,to improve the coverage of the networks and prolong the network lifetime,relay links are established by relay selection algorithm that using matching theory.Finally,the simulation results show that the proposed data collection improves its efficiency,reduces the energy consumption of the master node,improves the networks’ coverage,and extends the network lifetime.
文摘以压缩感知理论为基础,研究物理干扰模型下的无线传感器网络数据收集问题,将其建模为转发树构建和链路调度联合问题(forwarding tree construction and scheduling,FTCS)。FTCS问题属于NP难题,提出一种可以实现转发树构建和链路调度子问题的分布式求解算法,目标是确定一组转发树,在转发树调度后于最短调度周期内将测量数据发往汇点,在传输延时和采集能效间实现平衡。仿真结果表明,所提算法在降低数据传输延时和提高能效等方面的性能要优于目前典型的数据收集方法。
