Joint Slot Scheduling and Power Allocation in Clustered Underwater Acoustic Sensor Networks

Dear Editor, This letter deals with the joint slot scheduling and power allocation in clustered underwater acoustic sensor networks(UASNs),based on the known clustering and routing information, to maximize the network's energy efficiency(EE). Based on the block coordinated decent(BCD) method, the formulated mixed-integer non-convex problem is alternatively optimized by leveraging the KuhnMunkres algorithm.

Molecular Characterization of Banana streak virus Isolate from Musa Acuminata in China

Banana streak virus （BSV）, a member of genus Badnavirus, is a causal agent of banana streak disease throughout the world. The genetic diversity of BSVs from different regions of banana plantations has previously been investigated, but there are relatively few reports of the genetic characteristic of episomal （non-integrated） BSV genomes isolated from China. Here, the complete genome, a total of 7722bp （GenBank accession number DQ092436）, of an isolate of Banana streak virus （BSV） on cultivar Cavendish （BSAcYNV） in Yunnan, China was determined. The genome organises in the typical manner of badnaviruses. The intergenic region of genomic DNA contains a large stem-loop, which may contribute to the ribosome shift into the following open reading frames （ORFs）. The coding region of BSAcYNV consists of three overlapping ORFs, ORF 1 with a non-AUG start codon and ORF2 encoding two small proteins are individually involved in viral movement and ORF3 encodes a polyprotein. Besides the complete genome, a defective genome lacking the whole RNA leader region and a majority of ORF1 and which encompasses 6525bp was also isolated and sequenced from this BSV DNA reservoir in infected banana plants. Sequence analyses showed that BSAcYNV has closest similarity in terms of genome organization and the coding assignments with an BSV isolate from Vietnam （BSAcVNV）. The corresponding coding regions shared identities of 88% and -95% at nucleotide and amino acid levels, respectively. Phylogenetic analysis also indicated BSAcYNV shared the closest geographical evolutionary relationship to BSAcVNV among sequenced banana streak badnaviruses.

A Power- and Coverage-aware Clustering Scheme for Wireless Sensor Networks

A common and critical operation for wireless sensor networks is data gathering. The efficient clustering of a sensor network that can save energy and improve coverage efficiency is an important requirement for many upper layer network functions. This study concentrates on how to form clusters with high uniformity while prolonging the network lifetime. A novel clustering scheme named power- and coverage- aware clustering （PCC） is proposed, which can adaptively select cluster heads according to a hybrid of the nodesI residual energy and loyalty degree. Additionally, the PCC scheme is independent of node distribution or density, and it is free of node hardware limitations, such as self-locating capability and time synchronization. Experiment results show that the scheme performs well in terms of cluster size （and its standard deviation）, number of nodes alive over time, total energy consumption, etc.

Microphase Separation of Semiflexible Ring Diblock Copolymers

Aiming at the difficult problem of solving the conformation statistics of complex polymers, this study presents a novel and concise conformation statistics theoretical approach based on Monte Carlo and Neural Network method. This method offers a new research idea for investigating the conformation statistics of complex polymers, characterized by its simplicity and practicality. It can be applied to more complex topological structure, more higher degree of freedom polymer systems with higher dimensions, theory research on dynamic self-consistent field theory and polymer field theory, as well as the analysis of scattering experimental data. The conformation statistics of complex polymers determine the structure and response properties of the system. Using the new method proposed in this study, taking the semiflexible ring diblock copolymer as an example, Monte Carlo simulation is used to sample this ring conformation to construct the dataset of polymer. The structure factor describing conformation statistics are expressed as continuous functions of structure parameters by neural network supervised learning. This is the innovation of this work. As an application, the structure factors represented by neural networks were introduced into the random phase approximation theory to study the microphase separation of semiflexible ring diblock copolymers. The influence of the ring's topological properties on the phase transition behavior was pointed out.

以噻吩[3,4-b]并噻吩为核的近红外电子受体及其高性能光探测器

为了实现在近红外区的良好光电响应,设计合成了一种A-D-A型有机电子受体TCIC.由于采用具有强醌式效应的噻吩[3,4-b]并噻吩单元为核,TCIC在780~1000 nm的近红外区具有强吸收以及合适的能级结构,可与常用的聚合物给体PCE10的吸收和能级相匹配.于是,采用2种器件结构,制备了基于PCE10:TCIC共混膜的自供电式(0 V偏压下)有机光探测器,并发现,相比于正型器件,反型器件更有利于抑制暗电流与总噪声电流.最终,反型器件在410~1000 nm的宽光谱范围内的比探测率均达到了10^(13) Jones以上,而且,在940 nm波长下,器件表现出超宽的线性动态范围(~180 dB)以及极快的响应速度(~6.5μs),这些指标都处于目前有机光探测器的最优行列.所以,本工作为高性能近红外受体的分子设计提供了重要指导.

A Stackelberg Game for Spectrum Leasing in Cooperative Cognitive Radio Networks

According to the property-rights model of cognitive radio, primary users （PUs） who own the spectrum resource have the right to lease part of spectrum to secondary users （SUs） in exchange for appropriate profit. In this paper, we propose a pricing-based spectrum leasing framework between one PU and multiple SUs. In this scenario, the PU attempts to maximize its utility by setting the price of spectrum. Then, the selected SUs have the right to decide their power levels to help PU s transmission, aiming to obtain corresponding access time. The spectrum leasing problem can be cast into a stackelberg game, where the PU plays the seller-level game and the selected SUs play the buyer-level game. Through analysis based on the backward induction, we prove that there exists a unique equilibrium in the stackelberg game with certain constraints. Numerical results show that the proposed pricing-based spectrum leasing framework is effective, and the performance of both PU and SUs is improved, compared to the traditional mechanism without cooperation.

Bandwidth Allocation with Minimum Rate Constraints in Cluster-based Femtocell Networks

Inter-femtocell interference becomes serious when femtocells are densely deployed. To mitigate the inter-femtocell interference, this paper proposes a cluster-based bandwidth allocation algorithm. We create femtocell clusters by constructing a weighted interference graph and allocate bandwidth to each cluster based on a Nash bargaining solution(NBS). Simulation results show that the cluster-based bandwidth allocation algorithm can reduce the inter-femtocell interference and meet the minimum rate constraint of each cluster.