In large-scaleWireless Rechargeable SensorNetworks(WRSN),traditional forward routingmechanisms often lead to reduced energy efficiency.To address this issue,this paper proposes a WRSN node energy optimization algorith...In large-scaleWireless Rechargeable SensorNetworks(WRSN),traditional forward routingmechanisms often lead to reduced energy efficiency.To address this issue,this paper proposes a WRSN node energy optimization algorithm based on regional partitioning and inter-layer routing.The algorithm employs a dynamic clustering radius method and the K-means clustering algorithm to dynamically partition the WRSN area.Then,the cluster head nodes in the outermost layer select an appropriate layer from the next relay routing region and designate it as the relay layer for data transmission.Relay nodes are selected layer by layer,starting from the outermost cluster heads.Finally,the inter-layer routing mechanism is integrated with regional partitioning and clustering methods to develop the WRSN energy optimization algorithm.To further optimize the algorithm’s performance,we conduct parameter optimization experiments on the relay routing selection function,cluster head rotation energy threshold,and inter-layer relay structure selection,ensuring the best configurations for energy efficiency and network lifespan.Based on these optimizations,simulation results demonstrate that the proposed algorithm outperforms traditional forward routing,K-CHRA,and K-CLP algorithms in terms of node mortality rate and energy consumption,extending the number of rounds to 50%node death by 11.9%,19.3%,and 8.3%in a 500-node network,respectively.展开更多
To maximize the aggregate throughput achieved in heterogeneous networks, this paper investigates inter-session network coding for the distribution of layered source data. We define inter-layer hierarchical random line...To maximize the aggregate throughput achieved in heterogeneous networks, this paper investigates inter-session network coding for the distribution of layered source data. We define inter-layer hierarchical random linear network codes （IHRLNC）, which not only take the flexibility of intersession network coding for layer mixing but also consider the strict priority inherent in the layered source data. Furthermore, we propose the inter-layer hierarchical multicast （IHM）, which performs IHRLNC in the network such that each sink can recover some source layers according to its individu- al capacity. To determine the optimal type of IHRLNC that should be performed on each edge in IHM, we formulate an optimization problem based on 0-1 integer linear programming, and propose a heuristic approach to approximate the optimal solution in polynomial time. Simulation results show that the proposed IHM can achieve throughput gains over the layered muhicast schemes.展开更多
Monolithic three-dimensional integrated circuits(M3D ICs)have emerged as an innovative solution to overcome the limitations of traditional 2D scaling,offering improved performance,reduced power consumption,and enhance...Monolithic three-dimensional integrated circuits(M3D ICs)have emerged as an innovative solution to overcome the limitations of traditional 2D scaling,offering improved performance,reduced power consumption,and enhanced functionality.Inter-layer vias(ILVs),crucial components of M3D ICs,provide vertical connectivity between layers but are susceptible to manufacturing and operational defects,such as stuck-at faults(SAFs),shorts,and opens,which can compromise system reliability.These challenges necessitate advanced built-in self-test(BIST)methodologies to ensure robust fault detection and localization while minimizing the testing overhead.In this paper,we introduce a novel BIST architecture tailored to efficiently detect ILV defects,particularly in irregularly positioned ILVs,and approximately localize them within clusters,using a walking pattern approach.In the proposed BIST framework,ILVs are grouped according to the probability of fault occurrence,enabling efficient detection of all SAFs and bridging faults(BFs)and most multiple faults within each cluster.This strategy empowers designers to fine-tune fault coverage,localization precision,and test duration to meet specific design requirements.The new BIST method addresses a critical shortcoming of existing solutions by significantly reducing the number of test configurations and overall test time using multiple ILV clusters.The method also enhances efficiency in terms of area and hardware utilization,particularly for larger circuit benchmarks.For instance,in the LU32PEENG benchmark,where ILVs are divided into 64 clusters,the power,area,and hardware overheads are minimized to 0.82%,1.03%,and 1.14%,respectively.展开更多
Although the inter-layer coupling in layered materials has attracted considerable interest due to its importance in determining physical properties of two- dimensional systems, studies on the inter-layer coupling in o...Although the inter-layer coupling in layered materials has attracted considerable interest due to its importance in determining physical properties of two- dimensional systems, studies on the inter-layer coupling in one-dimensional systems have so far been limited. Double-wall carbon nanotubes （DWCNTs） are one of the most fundamental and ideal model systems to study the interqayer coupling in one-dimensional systems. In this work, Rayleigh scattering spectroscopy and transmission electron microscopy are used to characterize the electronic transition between inner-and outer-nanotubes of the exactly same individual DWCNT. We find that the interqayer coupling is strong, leading to downshifts in most of the optical transition energies （up to -0.2 eV） compared to isolated CNTs. We also find that the presence of metallic tubes lead to stronger shifts. The inter-layer screening of Coulomb interactions is one of the key factors in explaining the observed results.展开更多
基金funded by National Natural Science Foundation of China(No.61741303)Guangxi Natural Science Foundation(No.2017GXNSFAA198161)the Foundation Project of Guangxi Key Laboratory of Spatial Information and Mapping(No.21-238-21-16).
文摘In large-scaleWireless Rechargeable SensorNetworks(WRSN),traditional forward routingmechanisms often lead to reduced energy efficiency.To address this issue,this paper proposes a WRSN node energy optimization algorithm based on regional partitioning and inter-layer routing.The algorithm employs a dynamic clustering radius method and the K-means clustering algorithm to dynamically partition the WRSN area.Then,the cluster head nodes in the outermost layer select an appropriate layer from the next relay routing region and designate it as the relay layer for data transmission.Relay nodes are selected layer by layer,starting from the outermost cluster heads.Finally,the inter-layer routing mechanism is integrated with regional partitioning and clustering methods to develop the WRSN energy optimization algorithm.To further optimize the algorithm’s performance,we conduct parameter optimization experiments on the relay routing selection function,cluster head rotation energy threshold,and inter-layer relay structure selection,ensuring the best configurations for energy efficiency and network lifespan.Based on these optimizations,simulation results demonstrate that the proposed algorithm outperforms traditional forward routing,K-CHRA,and K-CLP algorithms in terms of node mortality rate and energy consumption,extending the number of rounds to 50%node death by 11.9%,19.3%,and 8.3%in a 500-node network,respectively.
基金Supported by the National Natural Science Foundation of China （ No. 60832001 ）.
文摘To maximize the aggregate throughput achieved in heterogeneous networks, this paper investigates inter-session network coding for the distribution of layered source data. We define inter-layer hierarchical random linear network codes （IHRLNC）, which not only take the flexibility of intersession network coding for layer mixing but also consider the strict priority inherent in the layered source data. Furthermore, we propose the inter-layer hierarchical multicast （IHM）, which performs IHRLNC in the network such that each sink can recover some source layers according to its individu- al capacity. To determine the optimal type of IHRLNC that should be performed on each edge in IHM, we formulate an optimization problem based on 0-1 integer linear programming, and propose a heuristic approach to approximate the optimal solution in polynomial time. Simulation results show that the proposed IHM can achieve throughput gains over the layered muhicast schemes.
文摘Monolithic three-dimensional integrated circuits(M3D ICs)have emerged as an innovative solution to overcome the limitations of traditional 2D scaling,offering improved performance,reduced power consumption,and enhanced functionality.Inter-layer vias(ILVs),crucial components of M3D ICs,provide vertical connectivity between layers but are susceptible to manufacturing and operational defects,such as stuck-at faults(SAFs),shorts,and opens,which can compromise system reliability.These challenges necessitate advanced built-in self-test(BIST)methodologies to ensure robust fault detection and localization while minimizing the testing overhead.In this paper,we introduce a novel BIST architecture tailored to efficiently detect ILV defects,particularly in irregularly positioned ILVs,and approximately localize them within clusters,using a walking pattern approach.In the proposed BIST framework,ILVs are grouped according to the probability of fault occurrence,enabling efficient detection of all SAFs and bridging faults(BFs)and most multiple faults within each cluster.This strategy empowers designers to fine-tune fault coverage,localization precision,and test duration to meet specific design requirements.The new BIST method addresses a critical shortcoming of existing solutions by significantly reducing the number of test configurations and overall test time using multiple ILV clusters.The method also enhances efficiency in terms of area and hardware utilization,particularly for larger circuit benchmarks.For instance,in the LU32PEENG benchmark,where ILVs are divided into 64 clusters,the power,area,and hardware overheads are minimized to 0.82%,1.03%,and 1.14%,respectively.
文摘Although the inter-layer coupling in layered materials has attracted considerable interest due to its importance in determining physical properties of two- dimensional systems, studies on the inter-layer coupling in one-dimensional systems have so far been limited. Double-wall carbon nanotubes （DWCNTs） are one of the most fundamental and ideal model systems to study the interqayer coupling in one-dimensional systems. In this work, Rayleigh scattering spectroscopy and transmission electron microscopy are used to characterize the electronic transition between inner-and outer-nanotubes of the exactly same individual DWCNT. We find that the interqayer coupling is strong, leading to downshifts in most of the optical transition energies （up to -0.2 eV） compared to isolated CNTs. We also find that the presence of metallic tubes lead to stronger shifts. The inter-layer screening of Coulomb interactions is one of the key factors in explaining the observed results.
