A green and reliable communication modeling for industrial internet of things

Liu, Anfeng,Zhang, Qi,Li, Zhetao,Choi, Young-june,Li, Jie,Komuro, Nobuyoshi Elsevier 2017 Computers & electrical engineering Vol.58 No.-

<P>Green and reliable communication has great significance for Industrial Internet of Things. Unfortunately, because of the loss nature, achieving reliable transmission is challenging. In this paper, a novel hybrid transmission protocol (HTP) is proposed to maximize lifetime while the reliability is still guaranteed. The proposed protocol adopts Send-Wait automatic Repeat-Request protocol in hotspot areas to reduce the energy consumption and network coding based redundant transmission approach with adaptive redundancy level in non-hotspot areas to guarantee the reliability. The proposed protocol could improve the lifetime and shorten the delay on the premise of ensuring the reliability. Comparing with Send-Wait automatic Repeat-Request protocol, it can improve lifetime by 15%-30% under the same reliability and improve the reliability by 12%-45% under the same lifetime. Comparing with network coding based redundant transmission approach, the lifetime has increased by more than one time under the same reliability. (C) 2016 Elsevier Ltd. All rights reserved.</P>

Distributed cooperative communication nodes control and optimization reliability for resource-constrained WSNs

Liu, Xiao,Liu, Anfeng,Li, Zhetao,Tian, Shujuan,Choi, Young-june,Sekiya, Hiroo,Li, Jie Elsevier 2017 Neurocomputing Vol.270 No.-

<P><B>Abstract</B></P> <P>The utilization of distributed control and optimization is still a challenge issue to achieve reliable communication for resource-constrained networked systems. In this paper, a distributed cooperative communication nodes control (DCCNC) approach is proposed to achieve higher reliability communication and longer network lifetime for resource-constrained wireless sensor network (WSNs). A DCCNC scheme adopts feedback control approach to determine the appropriate number of node which participates in cooperative communication according to the application reliability requirements. A residue energy notification mechanism is used to notice the minimum residual energy of nodes in a network, then the number of cooperative communication nodes is adjusted according to the difference between the residual energy of nodes and the minimum residual energy of network. In a DCCNC scheme, larger number of participate cooperative communication nodes are adopted in non-hotspots area to achieve high reliability, while less number of participate cooperative communication nodes are adopted in hotspots area to achieve high network lifetime. The theoretical analysis and experimental results show that comparing with previous communications schemes, DCCNC scheme can reduce end to end Data Fail delivering Ratio (DFR) by 57.16–93.29% while retaining network lifetime, and DCCNC approach can also improves lifetime by 3.89–18.75% while retaining weighted end to end (DFR).</P>

A Trust-Based Model for Security Cooperating in Vehicular Cloud Computing

Tang, Zhipeng,Liu, Anfeng,Li, Zhetao,Choi, Young-june,Sekiya, Hiroo,Li, Jie Hindawi Limited 2016 Mobile information systems Vol.2016 No.-

<P>VCC is a computing paradigm which consists of vehicles cooperating with each other to realize a lot of practical applications, such as delivering packages. Security cooperation is a fundamental research topic in Vehicular Cloud Computing (VCC). Because of the existence of malicious vehicles, the security cooperation has become a challenging issue in VCC. In this paper, a trust-based model for security cooperating, named DBTEC, is proposed to promote vehicles’ security cooperation in VCC. DBTEC combines the indirect trust estimation in Public board and the direct trust estimation in Private board to compute the trust value of vehicles when choosing cooperative partners; a trustworthy cooperation path generating scheme is proposed to ensure the safety of cooperation and increase the cooperation completion rates in VCC. Extensive experiments show that our scheme improves the overall cooperation completion rates by 6~7%.</P>

APMD: A fast data transmission protocol with reliability guarantee for pervasive sensing data communication

Liu, Yuxin,Liu, Anfeng,Li, Yuxuan,Li, Zhetao,Choi, Young-june,Sekiya, Hiroo,Li, Jie Elsevier 2017 Pervasive and mobile computing Vol.41 No.-

<P><B>Abstract</B></P> <P>In pervasive sensing data communication systems, it is significant to ensure data reliably and rapidly sent to the control center. Otherwise, laggard data transmission may result in vital loss. An adaptive persistent m data (APMD) transmission protocol is proposed to reduce delay with reliability guarantee for pervasive sensing data communication systems. In APMD transmission protocol, each data packet is sent for m ( m ≥ 1 ) times by sender at the first time of transmission. If the data packet cannot be received successfully for m times, sender will transmit this data packet again and wait for ACK sent back by receiver in the send and wait way. The next data packet will not be sent until this packet is sent successfully or the time of transmission reaches the maximum limit. The option of appropriate value of m is based on the energy situation, which guarantees high network lifetime. Both theoretical analysis and experimental simulation results indicate that the APMD protocol is better than the previous data transmission protocol. The delay can be reduced by 12.73%–14.78%, the energy utilization rate can be improved by about 35% compared to the SW-ARQ protocol, while the reliability increases slightly and the lifetime has no difference.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A fast data transmission protocol is proposed for pervasive sensing. </LI> <LI> The high reliability can be guaranteed in our protocol. </LI> <LI> The delay can be reduced by 12.73%–14.78% compare to previous studies in our protocol. </LI> <LI> The energy utilization can be enhanced by 35%. </LI> </UL> </P>

An Optimal Schedule Algorithm Trade-Off Among Lifetime, Sink Aggregated Information and Sample Cycle for Wireless Sensor Networks

Jinhuan Zhang,Jun Long,Anfeng Liu,Guihu Zhao 한국통신학회 2016 Journal of communications and networks Vol.18 No.2

Data collection is a key function for wireless sensor networks. There has been numerous data collection scheduling algorithms,but they fail to consider the deep and complex relationshipamong network lifetime, sink aggregated information and samplecycle for wireless sensor networks. This paper gives the upperbound on the sample period under the given network topology. An optimal schedule algorithm focusing on aggregated informationnamed OSFAI is proposed. In the schedule algorithm, the nodesin hotspots would hold on transmission and accumulate their databefore sending them to sink at once. This could realize the dualgoals of improving the network lifetime and increasing the amountof information aggregated to sink. We formulate the optimizationproblem as to achieve trade-off among sample cycle, sink aggregatedinformation and network lifetime by controlling the samplecycle. The results of simulation on the random generated wirelesssensor networks show that when choosing the optimized sample cycle,the sink aggregated information quantity can be increased by30.5%, and the network lifetime can be increased by 27.78%.

Cross Layer Optimal Design with Guaranteed Reliability under Rayleigh block fading channels

( Xue Chen ),( Yanling Hu ),( Anfeng Liu ),( Zhigang Chen ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.12

Configuring optimization of wireless sensor networks, which can improve the network performance such as utilization efficiency and network lifetime with minimal energy, has received considerable attention in recent years. In this paper, a cross layer optimal approach is proposed for multi-source linear network and grid network under Rayleigh block-fading channels, which not only achieves an optimal utility but also guarantees the end-to-end reliability. Specifically, in this paper, we first strictly present the optimization method for optimal nodal number N*, nodal placement d* and nodal transmission structure p* under constraints of minimum total energy consumption and minimum unit data transmitting energy consumption. Then, based on the facts that nodal energy consumption is higher for those nodes near the sink and those nodes far from the sink may have remaining energy, a cross layer optimal design is proposed to achieve balanced network energy consumption. The design adopts lower reliability requirement and shorter transmission distance for nodes near the sink, and adopts higher reliability requirement and farther transmission distance for nodes far from the sink, the solvability conditions is given as well. In the end, both the theoretical analysis and experimental results for performance evaluation show that the optimal design indeed can improve the network lifetime by 20-50%, network utility by 20% and guarantee desire level of reliability.

Energy-Efficient Broadcasting Scheme for Smart Industrial Wireless Sensor Networks

Chen, Zhuangbin,Liu, Anfeng,Li, Zhetao,Choi, Young-June,Sekiya, Hiroo,Li, Jie Hindawi Limited 2017 Mobile information systems Vol.2017 No.-

<P>In smart Industrial Wireless Sensor Networks (IWSNs), sensor nodes usually adopt a programmable technology. These smart devices can obtain new or special functions by reprogramming: they upgrade their soft systems through receiving new version of program codes. If sensor nodes need to be upgraded, the sink node will propagate program code packets to them through “one-to-many” broadcasting, and therefore new capabilities can be obtained, forming the so-called Software Defined Network (SDN). However, due to the high volume of code packet, the constraint energy of sensor node, and the unreliable link quality of wireless network, rapidly broadcasting the code packets to all nodes in network can be a challenge issue. In this paper, a novel Energy-efficient Broadcast scheme with adjustable broadcasting radius is proposed aiming to improve the performance of network upgrade. In our scheme, the nonhotspots sensor nodes take full advantage of their residual energy caused in data collection period to improve the packet reception probability and reduce the broadcasting delay of code packet transmission by enlarging the broadcasting radius, that is, the transmitting power. The theoretical analyses and experimental results show that, compared with previous work, our approach can averagely reduce the Network Upgrade Delay (NUD) by 14.8%-45.2% and simultaneously increase the reliability without harming the lifetime of network.</P>

Power extraction efficiency optimization of horizontal-axis wind turbines through optimizing control parameters of yaw control systems using an intelligent method

Song, Dongran,Fan, Xinyu,Yang, Jian,Liu, Anfeng,Chen, Sifan,Joo, Young Hoon Elsevier 2018 APPLIED ENERGY Vol.224 No.-

<P><B>Abstract</B></P> <P>To optimize the power extraction from the wind, horizontal-axis wind turbines are normally manipulated by the yaw control system to track the wind direction. How is the potential power extraction efficiency of such wind turbines related to the parameter optimization of a yaw control system? We intend to answer this question in this study. First, we develop two control systems, a direct measurement-based conventional logic control (Control system 1), and a soft measurement-based advanced model predictive control (Control system 2). Then, a multi-objective Particle Swarm Optimization-based method is introduced to optimize control parameters and search for the Pareto Front, which represents different potential performance. On this basis, result investigation and analysis are carried out on an electrical yaw system of China Ming Yang 1.5 MW wind turbines based on three wind directions with different variations. Experimental results show that, under a large wind direction variation and with a 14% yaw actuator usage, 0.32% and 0.8% more power extraction efficiency are gained by Control system 1 and 2, respectively, after optimization. The achievable power extraction efficiency for the two yaw control systems goes down when the allowable yaw actuator usage is reduced. For instance, when the yaw actuator usage is 14%, 4.9% and 2%, the efficiency is 97.19%, 96.76% and 96.37% for Control system 1, and is 97.73%, 96.76% and 95.45% for Control system 2, respectively. Therefore, Control system 2 takes precedence over Control system 1 for having higher efficiency when the allowable yaw actuator usage is more than 4.9%. We also find that the potential power extraction efficiency of the two control systems is significantly influenced by the wind direction variation, that is, the optimized efficiency under small wind direction variation is 1.5% higher than that under large wind direction variation. In addition, the parameters of Control system 1 need to be re-optimized according to the wind condition, whereas the ones of Control system 2 may not. Finally, a novel yaw control strategy employing the optimized parameters as the query tables is suggested for the real applications.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Two favorable yaw control systems are developed and optimized. </LI> <LI> Intelligent optimization method is proposed to optimize the potential performance. </LI> <LI> Power extraction efficiency is optimized by 0.32% and 0.8% for two control systems. </LI> <LI> Optimized efficiency under small wind variation is 1.5% more than the large variation one. </LI> <LI> Novel yaw control strategy employing optimized parameters is suggested. </LI> </UL> </P>

Electricity Cost Minimization for Delay-tolerant Basestation Powered by Heterogeneous Energy Source

( Qingyong Deng ),( Xueming Li ),( Zhetao Li ),( Anfeng Liu ),( Young-june Choi ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.12

Recently, there are many studies, that considering green wireless cellular networks, have taken the energy consumption of the base station (BS) into consideration. In this work, we first introduce an energy consumption model of multi-mode sharing BS powered by multiple energy sources including renewable energy, local storage and power grid. Then communication load requests of the BS are transformed to energy demand queues, and battery energy level and worst-case delay constraints are considered into the virtual queue to ensure the network QoS when our objective is to minimize the long term electricity cost of BSs. Lyapunov optimization method is applied to work out the optimization objective without knowing the future information of the communication load, real-time electricity market price and renewable energy availability. Finally, linear programming is used, and the corresponding energy efficient scheduling policy is obtained. The performance analysis of our proposed online algorithm based on real-world traces demonstrates that it can greatly reduce one day’s electricity cost of individual BS.

An Optimal Schedule Algorithm Trade-Off Among Lifetime, Sink Aggregated Information and Sample Cycle for Wireless Sensor Networks

Zhang, Jinhuan,Long, Jun,Liu, Anfeng,Zhao, Guihu The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.2

Data collection is a key function for wireless sensor networks. There has been numerous data collection scheduling algorithms, but they fail to consider the deep and complex relationship among network lifetime, sink aggregated information and sample cycle for wireless sensor networks. This paper gives the upper bound on the sample period under the given network topology. An optimal schedule algorithm focusing on aggregated information named OSFAI is proposed. In the schedule algorithm, the nodes in hotspots would hold on transmission and accumulate their data before sending them to sink at once. This could realize the dual goals of improving the network lifetime and increasing the amount of information aggregated to sink. We formulate the optimization problem as to achieve trade-off among sample cycle, sink aggregated information and network lifetime by controlling the sample cycle. The results of simulation on the random generated wireless sensor networks show that when choosing the optimized sample cycle, the sink aggregated information quantity can be increased by 30.5%, and the network lifetime can be increased by 27.78%.