Data Dissemination in Wireless Sensor Networks with Instantly Decodable Network Coding

Liang Gou,Gengxin Zhang,Dongming Bian,Wei Zhang,Zhidong Xie 한국통신학회 2016 Journal of communications and networks Vol.18 No.5

Wireless sensor networks (WSNs) are widely applied inmonitoring and control of environment parameters. It is sometimesnecessary to disseminate data through wireless links after they aredeployed in order to adjust configuration parameters of sensors ordistribute management commands and queries to sensors. Severalapproaches have been proposed recently for data dissemination inWSNs. However, none of these approaches achieves both high effi-ciency and low complexity simultaneously. To address this problem,cluster-tree based network architecture, which divides aWSN intohierarchies and clusters is proposed. Upon this architecture, datais delivered from base station to all sensors in clusters hierarchyby hierarchy. In each cluster, father broadcasts data to all his chil-dren with instantly decodable network coding (IDNC), and a novelscheme targeting to maximize total transmission gain (MTTG) isproposed. This scheme employs a new packet scheduling algorithmto select IDNC packets, which uses weight status feedback matrix(WSFM) directly. Analysis and simulation results indicate that thetransmission efficiency approximate to the best existing approachmaximum weight clique, but with much lower computational over-head. Hence, the energy efficiency achieves both in data transmis-sion and processing.

Data Dissemination in Wireless Sensor Networks with Instantly Decodable Network Coding

Gou, Liang,Zhang, Gengxin,Bian, Dongming,Zhang, Wei,Xie, Zhidong The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.5

Wireless sensor networks (WSNs) are widely applied in monitoring and control of environment parameters. It is sometimes necessary to disseminate data through wireless links after they are deployed in order to adjust configuration parameters of sensors or distribute management commands and queries to sensors. Several approaches have been proposed recently for data dissemination in WSNs. However, none of these approaches achieves both high efficiency and low complexity simultaneously. To address this problem, cluster-tree based network architecture, which divides a WSN into hierarchies and clusters is proposed. Upon this architecture, data is delivered from base station to all sensors in clusters hierarchy by hierarchy. In each cluster, father broadcasts data to all his children with instantly decodable network coding (IDNC), and a novel scheme targeting to maximize total transmission gain (MTTG) is proposed. This scheme employs a new packet scheduling algorithm to select IDNC packets, which uses weight status feedback matrix (WSFM) directly. Analysis and simulation results indicate that the transmission efficiency approximate to the best existing approach maximum weight clique, but with much lower computational overhead. Hence, the energy efficiency achieves both in data transmission and processing.

Research on Exploration and Analysis of Supply Chain Flexibility Measure Index

He Tao,Liang Zhidong,Ye Xinquan,Pang Jihong 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.11

The supply chain risk assessment and management system has been developed, people still do not determine the way to overcome all these risks, especially for high impact, low probability events, such as SARS and the outbreak of foot-and-mouth disease, or a centralized terrorist attacks. This is because the lack of historical data to make all kinds of prediction and statistical tools fail. The modern supply chain were more vulnerable to risk, supply chain risk mainly comes from many aspects of the internal and external environment, the supply chain industry products background, upstream and downstream supply chain relationship, decision support. In this paper, the establishment of a complete supply chain model with variable structure, through the simulation method for quantitative observation of supply chain flexibility curve, and abstract to describe the elastic curve of a set of parameters; after the design of simulation experiment to observe the different supply chain structure parameters (inventory level, supply chain, supplier selection for number of sources) influence supply chain resilience curve.

Modeling and Parameter Estimation of Particle Swarm Optimization Algorithm for Smart Power Grid

He Tao,Liang Zhidong,Ye Xinquan,Sun Shufeng,Pang Jihong 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.6

This paper analysis the electric power communication network structure and performance requirements. To investigate the power communication backbone network and network power substation general way, and in electric power communication network delay, error rate, network bandwidth demand were analyzed. The for prevalent in electric power communication network is not a fully meshed network, explore artificially cobweb logic change principle and system method, artificial transform sheet mesh to the standard web, and making use of the cobweb, based on the characteristics of network fast routing. In order to better in the smart grid communication network using artificially cobweb routing algorithm, for the smart grid in the presence of irregular mesh network, this paper presents a kind of the mesh network into logical artificially cobweb network general standardization method. The principle of combination of label switching, this paper presents artificially cobweb source routing algorithm, expounds the artificially cobweb routing algorithm of label switching and label update mechanism, and artificially cobweb routing algorithm balancing routing method and routing method is described in detail.

Load Interval Prediction of the Power System based on Type-2 Fuzzy Theory

He Tao,Liang Zhidong,Pang Jihong,Ye Xianquan,Yuan Jinxin 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.2

According to the power load has strong randomness and difficult to forecast, the introduction of the two types of fuzzy logic in order to improve the prediction accuracy. The interval type two non-single valued two type Mamdani fuzzy model for power load time series forecasting, and reverse the spread of a similarity of a singular value decomposition iterative blending algorithm to simplify the redundant rules in the model of fuzzy sets and redundant fuzzy rules, in order to eliminate the adverse effects. For ordinary type-2 fuzzy sets, uncertainty of the trace and once the membership function is the most important factor, therefore in the calculation formula for construction of two kinds of measure when considering these two factors; analysis of the ordinary type-2 fuzzy inclusion degree properties; discussed two kinds of conversion between the new measure of the relationship, revealing its internal relations; finally through an example to verify the performance of the new measure ordinary type-2, and the fuzzy similarity and Yang Shih clustering method combining cluster analysis used in Gauss plain type-2 fuzzy sets, obtained the reasonable clustering results, verify the rationality of the new measure and effectiveness.

Fruit Nutrition Variation during the Harvest of Black Currant

Yadong Li,Yinghai Liang,Lin Wu,Zhidong Zhang 한국원예학회 2006 한국원예학회 기타간행물 Vol.- No.-

Carbon Coated α‑Fe2O3 Photoanode Synthesized by a Facile Anodic Electrodeposition for Highly Efficient Water Oxidation

Honglei Zhang,Longzhu Li,Changhai Liu,Wenchang Wang,Penghua Liang,Naotoshi Mitsuzak,Zhidong Chen 대한금속·재료학회 2018 ELECTRONIC MATERIALS LETTERS Vol.14 No.3

This work provides a facile anodic electrodeposition method for synthesizing carbon coated α-Fe2O3 photoanode followedby annealing treatment with argon atmosphere. Compared with bare hematite photoanode, the carbon coated α-Fe2O3 photoanodesannealed at lower temperature (Fe2O3/C-L) and higher temperature (Fe2O3/C-H) have higher photocurrent densityas 0.3 and 0.5 mA cm−2 (at 1.23 V vs. RHE), respectively. The excellent PEC performance is attributed to the synergisticreaction of carbon and vacancy oxygen. The morphology and properties of the sample were characterized with scanningelectron microscopy, transmission electron microscopy, Fourier transform infrared spectroscopy, UV–Vis spectra, X-raydiffractometry, X-ray photoelectron spectra, and photoelectrical measurements.