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Li Zhou
School of Information, Beijing Wuzi University, Beijing, China

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Research article
Published: 19 April 2021 in Security and Communication Networks
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Wearable medical devices rely on the human body to form a small LAN around the human body, called body area network (BAN). Users can use these devices to monitor the changes of various body indicators in real time. The physiological data involved in this process belongs to personal privacy. Therefore, the security requirements of BAN are relatively high, and its current research focus is on authentication mechanisms. To meet the requirements of security and resource consumption of BAN, this paper proposes a lightweight identity authentication mechanism that meets the characteristics of BAN resource constraints. Based on the characteristics of BAN, a simple and mature star topology structure is applied to establish the network model of BAN. For the human body in normal situations and emergencies, the corresponding authentication mechanism and encryption and decryption method of physiological data are designed by using the physical unclonable function (PUF) and cloud database, physiological data, and cross-correlation algorithm. Furthermore, the formal and informal security analysis of the designed authentication mechanism proves that the authentication mechanism designed in this paper has certain security, and the lightweight authentication mechanism is simulated and evaluated. The experimental results show that compared with the benchmarking mechanism, the authentication mechanism designed in this paper solves more security problems and has certain advantages in terms of calculation cost, communication cost, and energy cost.

ACS Style

Jianglong Yang; Wanlin Yang; Huwei Liu; Li Zhou. Design and Simulation of Lightweight Identity Authentication Mechanism in Body Area Network. Security and Communication Networks 2021, 2021, 1 -18.

AMA Style

Jianglong Yang, Wanlin Yang, Huwei Liu, Li Zhou. Design and Simulation of Lightweight Identity Authentication Mechanism in Body Area Network. Security and Communication Networks. 2021; 2021 ():1-18.

Chicago/Turabian Style

Jianglong Yang; Wanlin Yang; Huwei Liu; Li Zhou. 2021. "Design and Simulation of Lightweight Identity Authentication Mechanism in Body Area Network." Security and Communication Networks 2021, no. : 1-18.

Journal article
Published: 15 March 2021 in IEEE Internet of Things Journal
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ACS Style

Yanxing Song; F. Richard Yu; Li Zhou; Xi Yang; Zefang He. Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey. IEEE Internet of Things Journal 2021, 8, 4250 -4274.

AMA Style

Yanxing Song, F. Richard Yu, Li Zhou, Xi Yang, Zefang He. Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey. IEEE Internet of Things Journal. 2021; 8 (6):4250-4274.

Chicago/Turabian Style

Yanxing Song; F. Richard Yu; Li Zhou; Xi Yang; Zefang He. 2021. "Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey." IEEE Internet of Things Journal 8, no. 6: 4250-4274.

Methodologies and application
Published: 05 August 2020 in Soft Computing
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Environmental factors are increasingly being considered in supply chain risk management (SCRM), which itself represents a growing trend. Accordingly, dynamic supplier selection and order allocation have become very important. Both qualitative and quantitative factors should be considered in the selection of eligible suppliers. In this study, a novel two-stage comprehensive mathematical model is developed for selecting a set of suppliers and assigning an order quantity to each supplier. The first stage involves a primary selection of alternative suppliers according to the risk value, which is determined using qualitative and quantitative methods based on the best–worst method, and the second stage involves establishing a multiobjective mathematical model for dealing with dynamic supplier selection and order allocation. The proposed approach, which helps enterprises manage uncertainty in SCRM, is applied in this study to the new energy vehicles industry.

ACS Style

Feng Li; Chia-Huei Wu; Li Zhou; Guangshu Xu; Yongsheng Liu; Sang-Bing Tsai. A model integrating environmental concerns and supply risks for dynamic sustainable supplier selection and order allocation. Soft Computing 2020, 25, 535 -549.

AMA Style

Feng Li, Chia-Huei Wu, Li Zhou, Guangshu Xu, Yongsheng Liu, Sang-Bing Tsai. A model integrating environmental concerns and supply risks for dynamic sustainable supplier selection and order allocation. Soft Computing. 2020; 25 (1):535-549.

Chicago/Turabian Style

Feng Li; Chia-Huei Wu; Li Zhou; Guangshu Xu; Yongsheng Liu; Sang-Bing Tsai. 2020. "A model integrating environmental concerns and supply risks for dynamic sustainable supplier selection and order allocation." Soft Computing 25, no. 1: 535-549.

Article
Published: 13 June 2020 in Wireless Networks
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The smart mobile Internet of Things (IoT) is a novel paradigm that is rapidly gaining ground in the field of modern wireless telecommunications. Picking operations are the key link in an entire warehousing operation, and congestion problems significantly contribute to managers’ decisions regarding the warehousing layout, the storage strategy, and the number of pickers. In this paper, the discrete Markov method is used to study the problem of picking congestion in a narrow-aisle double picking system with a traditional layout, an S-type picking path and a classified storage strategy. First, congestion models are constructed when the picker picks one item with a picking speed that is equal to the walking speed and when the picker picks multiple items on one picking surface under a picking speed that is very different from the walking speed. A sensitivity analysis involving parameter changes was carried out. Second, the paper compares and analyzes situations in which the picking speed is equal to the walking speed and in which there is a large difference between the picking speed and the walking speed and determines the impact of the picking speed, the number of goods picked on a picking surface, the differentiated classified storage strategy, and the number of picking surfaces on the picking congestion rate. The effectiveness of the mathematical model was verified by a MATLAB simulation, and the exploration and discovery for subsequent research were performed.

ACS Style

Li Zhou; Xiaxia Niu; Shengli Zhao; Xiaoqing Zhao; Ning Cao; Jianrui Ding; Ruichao Wang. Research on congestion rate of classified storage narrow channel picking system for IoT security. Wireless Networks 2020, 1 -17.

AMA Style

Li Zhou, Xiaxia Niu, Shengli Zhao, Xiaoqing Zhao, Ning Cao, Jianrui Ding, Ruichao Wang. Research on congestion rate of classified storage narrow channel picking system for IoT security. Wireless Networks. 2020; ():1-17.

Chicago/Turabian Style

Li Zhou; Xiaxia Niu; Shengli Zhao; Xiaoqing Zhao; Ning Cao; Jianrui Ding; Ruichao Wang. 2020. "Research on congestion rate of classified storage narrow channel picking system for IoT security." Wireless Networks , no. : 1-17.

Journal article
Published: 17 April 2020 in International Journal of Environmental Research and Public Health
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The accidents caused by hazardous material during road transportation may result in catastrophic losses of lives and economics, as well as damages to the environment. Regarding the deficiencies in the information systems of hazmat transportation accidents, this study conducts a survey of 371 accidents with consequence Levels II to V involving road transportation in China from 2004–2018. The study proposes a comprehensive analysis framework for understanding the overall status associated with key factors of hazmat transportation in terms of characteristics, cause, and severity. By incorporating the adaptive data analysis techniques and tackling uncertainty, the preventative measures can be carried out for supporting safety management in hazmat transportation. Thus, this study firstly analyzed spatial–temporal trends to understand the major characteristics of hazmat transportation accidents. Secondly, it presented a quantitative description of the relation among the hazmat properties, accident characteristics, and the consequences of the accidents using the decision tree approach. Thirdly, an enhanced F-N curve-based analysis method that can describe the relationship between cumulative probability F and number of deaths N, was proposed under the power-law distribution and applied to several practical data sets for severity analysis. It can evaluate accident severity of hazmat material by road transportation while taking into account uncertainty in terms of data sources. Through the introduction of the as low as reasonably practicable (ALARP) principle for determining acceptable and tolerable levels, it is indicated that the F-N curves are above the tolerable line for most hazmat accident scenarios. The findings can provide an empirically supported theoretical basis for the decision-makers to take action to reduce accident frequencies and risks for effective hazmat transportation management.

ACS Style

Li Zhou; Chun Guo; Yunxiao Cui; Jianjun Wu; Ying Lv; Zhiping Du. Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management. International Journal of Environmental Research and Public Health 2020, 17, 2793 .

AMA Style

Li Zhou, Chun Guo, Yunxiao Cui, Jianjun Wu, Ying Lv, Zhiping Du. Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management. International Journal of Environmental Research and Public Health. 2020; 17 (8):2793.

Chicago/Turabian Style

Li Zhou; Chun Guo; Yunxiao Cui; Jianjun Wu; Ying Lv; Zhiping Du. 2020. "Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management." International Journal of Environmental Research and Public Health 17, no. 8: 2793.

Journal article
Published: 07 February 2020 in IEEE Internet of Things Journal
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ACS Style

Yanxing Song; Yuchuan Fu; F. Richard Yu; Li Zhou. Blockchain-Enabled Internet of Vehicles With Cooperative Positioning: A Deep Neural Network Approach. IEEE Internet of Things Journal 2020, 7, 3485 -3498.

AMA Style

Yanxing Song, Yuchuan Fu, F. Richard Yu, Li Zhou. Blockchain-Enabled Internet of Vehicles With Cooperative Positioning: A Deep Neural Network Approach. IEEE Internet of Things Journal. 2020; 7 (4):3485-3498.

Chicago/Turabian Style

Yanxing Song; Yuchuan Fu; F. Richard Yu; Li Zhou. 2020. "Blockchain-Enabled Internet of Vehicles With Cooperative Positioning: A Deep Neural Network Approach." IEEE Internet of Things Journal 7, no. 4: 3485-3498.

Journal article
Published: 23 October 2019 in IEEE Systems Journal
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ACS Style

Ruihong Jiang; Ke Xiong; Pingyi Fan; Li Zhou; Zhangdui Zhong. Outage Probability and Throughput of Multirelay SWIPT-WPCN Networks With Nonlinear EH Model and Imperfect CSI. IEEE Systems Journal 2019, 14, 1206 -1217.

AMA Style

Ruihong Jiang, Ke Xiong, Pingyi Fan, Li Zhou, Zhangdui Zhong. Outage Probability and Throughput of Multirelay SWIPT-WPCN Networks With Nonlinear EH Model and Imperfect CSI. IEEE Systems Journal. 2019; 14 (1):1206-1217.

Chicago/Turabian Style

Ruihong Jiang; Ke Xiong; Pingyi Fan; Li Zhou; Zhangdui Zhong. 2019. "Outage Probability and Throughput of Multirelay SWIPT-WPCN Networks With Nonlinear EH Model and Imperfect CSI." IEEE Systems Journal 14, no. 1: 1206-1217.

Journal article
Published: 18 September 2019 in Future Generation Computer Systems
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Private set intersection cardinality (PSI-CA) allows two parties, the sender and receiver, to compute the cardinality of the intersection, without revealing anything more to the other party. This paper focuses on the unbalanced private data sets case, where two parties hold sets of private data items, such as the users’ identifiers; and where the size of the receiver’s private data set is significantly smaller than the size of the sender’s private data set. Two parties want to learn the cardinality of the intersection, but nothing else. The commutative encryption inspires authors to develop a novel protocol to solve the problem. Furthermore, by the application of the Bloom filter, the receiver can compute the output more easily than by the method that the encryption is carried out on the sender’s private data set when low-power mobile IoT devices are used. In the semi-honest model, we can prove the security of our protocol when the sender’s data set is big enough. The experiment shows the deviation of our protocol is negligible and the computation costs of our protocol.

ACS Style

Siyi Lv; Jinhui Ye; Sijie Yin; Xiaochun Cheng; Chen Feng; Xiaoyan Liu; Rui Li; Zhaohui Li; Zheli Liu; Li Zhou. Unbalanced private set intersection cardinality protocol with low communication cost. Future Generation Computer Systems 2019, 102, 1054 -1061.

AMA Style

Siyi Lv, Jinhui Ye, Sijie Yin, Xiaochun Cheng, Chen Feng, Xiaoyan Liu, Rui Li, Zhaohui Li, Zheli Liu, Li Zhou. Unbalanced private set intersection cardinality protocol with low communication cost. Future Generation Computer Systems. 2019; 102 ():1054-1061.

Chicago/Turabian Style

Siyi Lv; Jinhui Ye; Sijie Yin; Xiaochun Cheng; Chen Feng; Xiaoyan Liu; Rui Li; Zhaohui Li; Zheli Liu; Li Zhou. 2019. "Unbalanced private set intersection cardinality protocol with low communication cost." Future Generation Computer Systems 102, no. : 1054-1061.

Journal article
Published: 12 August 2019 in IEEE Access
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As the widespread of mobile devices in recent years, mobile crowdsensing (MCS) has become a powerful mechanism to produce knowledge by collecting the individual contributed sensor data. In this paper, we aim to solve the target tracking problem through mobile crowdsensing. The traditional tracking method tends to rely on photos or videos provided by pre-deployed monitors, which may consume much power resources. Different from the traditional tracking method, the tracking approach through mobile crowdsensing (TAMC) proposed in this paper utilizes the wireless communication of mobile users to collect and contribute the valuable information about the target’s whereabouts. Specifically, whenever the mobile users witness the target person, they will take photos of the target person and report the location and time of witnessing the target to the platform. Due to the fact that mobile users communicate with the platform only when they witness the target, the crowdsensing network composed of mobile users can be seen as a green network. In this way, the visited location history and corresponding time sequence of the target are available through the reports of mobile users. Once a new report is uploaded to the platform, the location history is updated. Then, according to the latest report, we apply a tree-based location prediction model named XGBoost, which is a scalable machine learning system, to predict the next place to be visited by the target. Finally, we conduct extensive experiments on a large-scale real-world dataset, namely, the Gowalla check-in dataset. The experimental results show that compared with the baseline methods, the tracking approach can predict the next places accurately.

ACS Style

Dongming Luan; Yongjian Yang; En Wang; Qiyang Zeng; Zhaohui Li; Li Zhou. An Efficient Target Tracking Approach Through Mobile Crowdsensing. IEEE Access 2019, 7, 110749 -110760.

AMA Style

Dongming Luan, Yongjian Yang, En Wang, Qiyang Zeng, Zhaohui Li, Li Zhou. An Efficient Target Tracking Approach Through Mobile Crowdsensing. IEEE Access. 2019; 7 ():110749-110760.

Chicago/Turabian Style

Dongming Luan; Yongjian Yang; En Wang; Qiyang Zeng; Zhaohui Li; Li Zhou. 2019. "An Efficient Target Tracking Approach Through Mobile Crowdsensing." IEEE Access 7, no. : 110749-110760.

Journal article
Published: 25 April 2019 in IEEE Access
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Mobile computing provides useful, accurate and timely information to any customer at any time and any place, which greatly changes the traditional way of reading data in the warehouse. The shelf layout of a warehouse center is one of the important factors affecting the efficiency of operation. Modern distribution centers use mobile computing technology to store warehouse data, and these new layouts can significantly reduce order turnover time and cost. This article focuses on order picking at a storage center, real -time communication system using data read -write devices, removes the limitation of the picking channel being a straight line and performs the curve design of the main channel of V-shaped and fishbone layouts. Using the mobile computing technology, we can obtain the order position in real time and store relevant data, gather the order in time, and reduce the operating costs. Afterwards, we built a storage area utilization model with the main channel selected as the curve and a stochastic model of return-type picking path with the main channel as the curve, and verified the effectiveness of the mathematical model through simulation using the MATLAB software.x.

ACS Style

Li Zhou; Jing Liu; Xiani Fan; Dongjie Zhu; Pingyu Wu; Ning Cao. Design of V-Type Warehouse Layout and Picking Path Model Based on Internet of Things. IEEE Access 2019, 7, 58419 -58428.

AMA Style

Li Zhou, Jing Liu, Xiani Fan, Dongjie Zhu, Pingyu Wu, Ning Cao. Design of V-Type Warehouse Layout and Picking Path Model Based on Internet of Things. IEEE Access. 2019; 7 (99):58419-58428.

Chicago/Turabian Style

Li Zhou; Jing Liu; Xiani Fan; Dongjie Zhu; Pingyu Wu; Ning Cao. 2019. "Design of V-Type Warehouse Layout and Picking Path Model Based on Internet of Things." IEEE Access 7, no. 99: 58419-58428.

Journal article
Published: 21 February 2019 in Sustainability
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The Internet of Things (IoT) has become an important strategy in the current round of global economic growth and technological development and provides a new path for the intelligent development of the logistics industry. With the development of the economy, the demand for logistics benefits is becoming more important. The appropriate use of technologies related to IoT to improve logistics efficiency, such as cloud computing, mobile computing and data mining, has become a topic of considerable research interest. Picking operations are currently an extremely important and cumbersome aspect of logistics center tasks. To shorten the picking distance and improve work efficiency, this paper uses the genetic algorithm, ant colony algorithm and cuckoo algorithm to optimize the picking path in a fishbone-layout warehouse and establishes an optimized model of the warehouse picking path under the fishbone layout. Data-mining technology is used to simulate the model and obtain the simulation data under the condition of multiple orders. The results provide a theoretical basis for the study of the fishbone-layout picking path model and has certain practical significance for the efficient operation of logistics enterprises. Through optimization, it is conducive to the sustainable development of enterprises and to achieving long-term profitability.

ACS Style

Li Zhou; Zhaochan Li; Ning Shi; Shaohua Liu; Ke Xiong. Performance Analysis of Three Intelligent Algorithms on Route Selection of Fishbone Layout. Sustainability 2019, 11, 1148 .

AMA Style

Li Zhou, Zhaochan Li, Ning Shi, Shaohua Liu, Ke Xiong. Performance Analysis of Three Intelligent Algorithms on Route Selection of Fishbone Layout. Sustainability. 2019; 11 (4):1148.

Chicago/Turabian Style

Li Zhou; Zhaochan Li; Ning Shi; Shaohua Liu; Ke Xiong. 2019. "Performance Analysis of Three Intelligent Algorithms on Route Selection of Fishbone Layout." Sustainability 11, no. 4: 1148.

Journal article
Published: 29 January 2019 in Electronics
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This paper studies the optimal design of the fog computing assisted wireless powered network, where an access point (AP) transmits information and charges an energy-limited sensor device with Radio Frequency (RF) energy transfer. The sensor device then uses the harvested energy to decode information and execute computing. Two candidate computing modes, i.e., local computing and fog computing modes, are considered. Two multi-objective optimization problems are formulated to minimize the required energy and time for the two modes, where the time assignments and the transmit power are jointly optimized. For the local computing mode, we obtain the closed-form expression of the optimal time assignment for energy harvesting by solving a convex optimization problem, and then analyze the effects of scaling factor between the minimal required energy and time on the optimal time assignment. For the fog computing mode, we derive closed-form and semi-closed-form expressions of the optimal transmit power and time assignment for offloading by adopting the Lagrangian dual method, the Karush–Kuhn–Tucker (KKT) conditions and Lambert W Function. Simulation results show that, when the sensor device has poor computing capacity or when it is far away from the AP, the fog computing mode is the better choice; otherwise, the local computing is preferred to achieve a better performance.

ACS Style

Yuan Liu; Ke Xiong; Yu Zhang; Li Zhou; Fuhong Lin; Tong Liu. Multi-Objective Optimization of Fog Computing Assisted Wireless Powered Networks: Joint Energy and Time Minimization. Electronics 2019, 8, 137 .

AMA Style

Yuan Liu, Ke Xiong, Yu Zhang, Li Zhou, Fuhong Lin, Tong Liu. Multi-Objective Optimization of Fog Computing Assisted Wireless Powered Networks: Joint Energy and Time Minimization. Electronics. 2019; 8 (2):137.

Chicago/Turabian Style

Yuan Liu; Ke Xiong; Yu Zhang; Li Zhou; Fuhong Lin; Tong Liu. 2019. "Multi-Objective Optimization of Fog Computing Assisted Wireless Powered Networks: Joint Energy and Time Minimization." Electronics 8, no. 2: 137.

Journal article
Published: 29 January 2019 in Electronics
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This paper analyzes outage probability and reliable throughput performance of a multi-user wireless-powered communication network-simultaneous wireless information and power transfer (WPCN-SWIPT) network with the logistic function-based (LG) nonlinear energy-harvesting (EH) model in Nakagami-m fading. Power-splitting (PS) receiver architecture is considered. The closed-form expressions of the system outage probability and the system reliable throughput are derived, and then the corresponding asymptotic expressions are also provided to achieve simpler calculation in the high-transmit power scenarios. Simulation results demonstrate the correctness of our derived analytical results and show that the systems under the LG nonlinear and linear EH models have very different performance behaviors. Moreover, since the LG nonlinear EH model is closer to the features of practical EH circuit than the linear one, using the LG nonlinear EH model can avoid the false output results of the system performance evaluation.

ACS Style

Ruihong Jiang; Ke Xiong; Yu Zhang; Li Zhou; Tong Liu; Zhangdui Zhong. Outage and Throughput of WPCN-SWIPT Networks with Nonlinear EH Model in Nakagami-m Fading. Electronics 2019, 8, 138 .

AMA Style

Ruihong Jiang, Ke Xiong, Yu Zhang, Li Zhou, Tong Liu, Zhangdui Zhong. Outage and Throughput of WPCN-SWIPT Networks with Nonlinear EH Model in Nakagami-m Fading. Electronics. 2019; 8 (2):138.

Chicago/Turabian Style

Ruihong Jiang; Ke Xiong; Yu Zhang; Li Zhou; Tong Liu; Zhangdui Zhong. 2019. "Outage and Throughput of WPCN-SWIPT Networks with Nonlinear EH Model in Nakagami-m Fading." Electronics 8, no. 2: 138.

Journal article
Published: 07 January 2019 in Sustainability
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This study focuses on an environment-friendly toll design problem, where an acceptable road network performance is promised. First, a Traffic Performance Index (TPI)-based evaluation method is developed to help identify the optimal congestion level and the management target of a transportation system. Second, environment-oriented cordon- and link-based road toll design models are respectively proposed through the use of bi-level programming. Both upper-level submodel objectives are to minimize gross revenue (the total collected toll minus the emissions treatment cost) under different pricing strategies. Both lower-level submodels quantify the user equilibrium (UE) condition under elastic demand. Moreover, the TPI-related constraints for the management requirements of the network performance are incorporated into the bi-level programming modeling framework, which can lead to 0–1 mixed integer bi-level nonlinear programming for toll design problems. Accordingly, a genetic algorithm-based heuristic searching method is proposed for the two pricing models. The proposed cordon- and link-based pricing models were then applied to a real-world road network in Beijing, China. The effects of the toll schemes generated from the two models were compared in terms of emissions reduction and congestion mitigation. In this study, it was indicated that a higher total collected toll may lead to more emissions and related treatment costs. Tradeoffs existed between the toll scheme, emissions reduction, and congestion mitigation.

ACS Style

Xijie Li; Ying Lv; Wei Sun; Li Zhou. Cordon- or Link-Based Pricing: Environment-Oriented Toll Design Models Development and Application. Sustainability 2019, 11, 258 .

AMA Style

Xijie Li, Ying Lv, Wei Sun, Li Zhou. Cordon- or Link-Based Pricing: Environment-Oriented Toll Design Models Development and Application. Sustainability. 2019; 11 (1):258.

Chicago/Turabian Style

Xijie Li; Ying Lv; Wei Sun; Li Zhou. 2019. "Cordon- or Link-Based Pricing: Environment-Oriented Toll Design Models Development and Application." Sustainability 11, no. 1: 258.

Journal article
Published: 30 September 2018 in Sensors
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This paper studies a simultaneous wireless information and power transfer (SWIPT)-aware fog computing by using a simple model, where a sensor harvests energy and receives information from a hybrid access point (HAP) through power splitting (PS) receiver architecture. Two information processing modes, local computing and fog offloading modes are investigated. For such a system, two optimization problems are formulated to minimize the sensor’s required power for the two modes under the information rate and energy harvesting constraints by jointly optimizing the time assignment and the transmit power, as well as the PS ratio. The closed-form and semi-closed-form solutions to the proposed optimization problems are derived based on convex optimization theory. Simulation results show that neither mode is always superior to the other one. It also shows that when the number of logic operations per bit associated with local computing is less than a certain value, the local computing mode is a better choice; otherwise, the fog offloading mode should be selected. In addition, the mode selection associated with the positions of the user for fixed HAP and fog server (FS) is also discussed.

ACS Style

Haina Zheng; Ke Xiong; Pingyi Fan; Li Zhou; Zhangdui Zhong. SWIPT-Aware Fog Information Processing: Local Computing vs. Fog Offloading. Sensors 2018, 18, 3291 .

AMA Style

Haina Zheng, Ke Xiong, Pingyi Fan, Li Zhou, Zhangdui Zhong. SWIPT-Aware Fog Information Processing: Local Computing vs. Fog Offloading. Sensors. 2018; 18 (10):3291.

Chicago/Turabian Style

Haina Zheng; Ke Xiong; Pingyi Fan; Li Zhou; Zhangdui Zhong. 2018. "SWIPT-Aware Fog Information Processing: Local Computing vs. Fog Offloading." Sensors 18, no. 10: 3291.

Book chapter
Published: 04 December 2013 in LISS 2013
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For proposing introspective method for the logistics organizations with voluntary carbon reduction wish, the paper takes carbon footprint instead of cost or profit as the objective function of logistics system directly. By combining the traditional classification methods of logistics cost and the measuring methods of carbon footprint, it analyzes the mechanisms of carbon footprint’s generation in details. Then it creates the carbon footprint model of logistics. By solving the model, it obtains the calculation formula of carbon footprint order quantity (COQ) and carbon footprint per unit time which is similar to the traditional economic order quantity (EOQ). Then it analyzes the effect of EOQ deviating from COQ on carbon footprint. By comparing with the effect of COQ deviating from EOQ on cost, the paper gives a way to estimate the economic value of carbon footprint.

ACS Style

Zhiyong Tian; Lingyu Huo; Guicheng Shen; Zhou Li. Analysis on the Base Model of Low Carbon Logistics. LISS 2013 2013, 509 -514.

AMA Style

Zhiyong Tian, Lingyu Huo, Guicheng Shen, Zhou Li. Analysis on the Base Model of Low Carbon Logistics. LISS 2013. 2013; ():509-514.

Chicago/Turabian Style

Zhiyong Tian; Lingyu Huo; Guicheng Shen; Zhou Li. 2013. "Analysis on the Base Model of Low Carbon Logistics." LISS 2013 , no. : 509-514.

Conference paper
Published: 04 December 2013 in LISS 2013
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The statistical study of low carbon logistics can be roughly divided into three aspects. One is the definition of low carbon logistics. The second is to implement the mechanism and countermeasures of low carbon logistics. The third is the quantitative statistical analysis and model of low carbon logistics. The paper makes statistical evaluation of the logistics industry and low-carbon development, using ANP method to establish evaluation model, obtaining the enterprise index is the most important index to evaluate the low carbon development of logistics industry.

ACS Style

Li Zhou; Jian Guo; Jie Zhu; Zhiyong Tian. Statistical Analysis and Model of Low Carbon Logistics. LISS 2013 2013, 497 -502.

AMA Style

Li Zhou, Jian Guo, Jie Zhu, Zhiyong Tian. Statistical Analysis and Model of Low Carbon Logistics. LISS 2013. 2013; ():497-502.

Chicago/Turabian Style

Li Zhou; Jian Guo; Jie Zhu; Zhiyong Tian. 2013. "Statistical Analysis and Model of Low Carbon Logistics." LISS 2013 , no. : 497-502.

Conference paper
Published: 04 December 2013 in LISS 2013
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In this paper, we firstly introduce the current situation of the transportation in China, and then use the KPI system to establish the different indicators, using the fuzzy comprehensive evaluation method to judge each indicator, thus to evaluate the degree of low-carbon for highway transportation. After that, we use an example to verify the feasibility of the Fuzzy Comprehensive Evaluation, when it is applied into the evaluation of realistic problem in the low-carbon transportation in our daily life.

ACS Style

Mengyun Xiao; Li Zhou. Using the Fuzzy Comprehensive Evaluation Model to Evaluate the Degree of Low-Carbon of Highway Transportation. LISS 2013 2013, 595 -599.

AMA Style

Mengyun Xiao, Li Zhou. Using the Fuzzy Comprehensive Evaluation Model to Evaluate the Degree of Low-Carbon of Highway Transportation. LISS 2013. 2013; ():595-599.

Chicago/Turabian Style

Mengyun Xiao; Li Zhou. 2013. "Using the Fuzzy Comprehensive Evaluation Model to Evaluate the Degree of Low-Carbon of Highway Transportation." LISS 2013 , no. : 595-599.

Conference paper
Published: 04 December 2013 in LISS 2013
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It studies the implementation mechanism and Countermeasures of low carbon logistics, carbon emissions estimation method of logistics enterprise, the carbon emissions and the logistics industry added value for data gathering and measuring. Two series stationary test shows that there is a cointegration relationship. Observe impulse response between the two series, and get the result that carbon emissions and the logistics added value impact and influence each other.

ACS Style

Li Zhou; Jian Guo; Jie Zhu; Zhiyong Tian. Study on the Relationship Between Logistics Industry Added Value and Carbon Emissions. LISS 2013 2013, 503 -508.

AMA Style

Li Zhou, Jian Guo, Jie Zhu, Zhiyong Tian. Study on the Relationship Between Logistics Industry Added Value and Carbon Emissions. LISS 2013. 2013; ():503-508.

Chicago/Turabian Style

Li Zhou; Jian Guo; Jie Zhu; Zhiyong Tian. 2013. "Study on the Relationship Between Logistics Industry Added Value and Carbon Emissions." LISS 2013 , no. : 503-508.