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| 1 | Comparison of Energy Harvesting Systems for Wireless Sensor Networks显示文摘Wireless sensor networks (WSNs) offer an attractive solution to many environmental, security, and process monitoring problems. However, one barrier to their fuller adoption is the need to supply electrical power over extended periods of time without the need for dedicated wiring. Energy harvesting provides a potential solution to this problem in many applications. This paper reviews the characteristics and energy requirements of typical sensor network nodes, assesses a range of potential ambient energy sources, and outlines the characteristics of a wide range of energy conversion devices. It then proposes a method to compare these diverse sources and conversion mechanisms in terms of their normalised power density. | James M.Gilbert Farooq Balouchi | 2008 | International Journal of Automation and computing2008，5，4： | 25 |
| 2 | 机械振动无线传感器网络节点高精度数据采集方法显示文摘为满足通用机械振动监测中高采样率、采集精度的需求,提出一种基于IEPE加速度传感器的无线传感器网络节点高精度数据采集方法。采用双核心处理器构架,降低网络维护与采集控制的耦合性,独立高精度时钟控制采集时序,提高数据采集频率精度。设计低噪声DC-DC电源转换方案,在充分考虑转换效率的前提下抑制电源噪声为30μVRMS;设计能自抑制电源噪声的恒流源激励,减小IEPE加速度传感器的信号噪声;设计通带平稳的三阶低通滤波器,有效避免频率混叠,提高数据采集幅值精度。实验结果表明:节点采集信号噪声仅40.7μVRMS,滤波通带范围内平均幅值误差仅0.37%;与有线采集系统NI9234数据采集对比分析,频率误差低于最小频率分辨率,幅值误差最大仅2.99%,验证了该无线传感器网络节点高精度数据采集方法的有效性。 | 曾贵伟 汤宝平 邓蕾 肖鑫 | 2016 | 振动与冲击2016，35，16： | 19 |
| 3 | On Improved DV-Hop Localization Algorithm for Accurate Node Localization in Wireless Sensor Networks显示文摘Node Localization is a fundamental issue for many critical applications in Wireless sensor networks(WSNs). Traditional DV-Hop localization algorithm and corresponding improved ones still cannot provide sufficient localization accuracy in such WSNs. To ensure accurate localization, this paper proposes an improved Distancevector-Hop(DV-Hop) localization algorithm. Under such an algorithm, we determine a corrected average hopdistance of beacon nodes by employing the differences between actual and estimated distance among beacon nodes in WSNs. We propose a probability information based selective strategy for the selection of beacon nodes.Based on these selected beacon nodes, we adopt a two dimensional hyperbolic function to predict the locations of unknown nodes. Simulation results are provided to illustrate the localization accuracy of our algorithm compared with traditional DV-Hop algorithm and its two improved algorithms in WSNs. | SHEN Shikai YANG Bin QIAN Kaiguo SHE Yumei WANG Wu | 2019 | Chinese Journal of Electronics2019，28，3： | 15 |
| 4 | 基于蜂窝虚拟网格的WSN混合多跳分簇路由算法显示文摘为了延长网络生存周期,均衡网络能耗,提出一种蜂窝网格的混合多跳路由算法。该路由机制采用正六边形进行单元格划分,在簇头选择阶段引入节点角度比、距离比和吞吐率优化阈值函数自主选择簇头。数据传输时采用簇内单跳和簇间混合跳的模式,在各簇头节点之间传输数据时对路径进行优化减少能量消耗。仿真实验表明,该协议在保证网络高覆盖率下,与传统LEACH、GAF、CRVB算法比较在平衡能耗,延长网络整体寿命上占有优势。 | 余修武 胡沐芳 刘琴 刘永 | 2018 | 传感技术学报2018，31，10： | 11 |
| 5 | An Energy-Efficient Data Collection Scheme Using Denoising Autoencoder in Wireless Sensor Networks显示文摘As one of the key operations in Wireless Sensor Networks(WSNs), the energy-efficient data collection schemes have been actively explored in the literature. However, the transform basis for sparsifing the sensed data is usually chosen empirically, and the transformed results are not always the sparsest. In this paper, we propose a Data Collection scheme based on Denoising Autoencoder(DCDA) to solve the above problem. In the data training phase, a Denoising AutoEncoder(DAE) is trained to compute the data measurement matrix and the data reconstruction matrix using the historical sensed data. Then, in the data collection phase, the sensed data of whole network are collected along a data collection tree. The data measurement matrix is utilized to compress the sensed data in each sensor node, and the data reconstruction matrix is utilized to reconstruct the original data in the sink.Finally, the data communication performance and data reconstruction performance of the proposed scheme are evaluated and compared with those of existing schemes using real-world sensed data. The experimental results show that compared to its counterparts, the proposed scheme results in a higher data compression rate, lower energy consumption, more accurate data reconstruction, and faster data reconstruction speed. | Guorui Li Sancheng Peng Cong Wang Jianwei Niu Ying Yuan | 2019 | Tsinghua Science and Technology2019，24，1： | 9 |
| 6 | 基于物联网的生猪运动行为及猪舍环境远程监控系统(英文)显示文摘In intensive and large-scale livestock breeding,how to evaluate welfare of each individual effectively has become one hotspot of welfare breeding.In this study,a remote monitor system based on computer vision technology and wireless sensor networks was proposed.In the system,pig videos in the piggery were captured by IP cameras and transmitted remotely to PC systems for objects tracking and trajectory extraction,and the piggery environmental data such as temperature,humidity and harmful gases were collected by wireless sensor networks(WSN)nodes.Traditional Camshift tracking algorithm was improved.The average root mean square errors of traditional and improved algorithm were 78.07 and 32.29,indicating the improved algorithm reduced error and improved tracking stability.The results of the real-time monitoring of environmental parameters by WSN showed that the hydrogen and ammonia concentrations,and the ambient temperature were all kept in the normal range,while the carbon dioxide concentration was exceeded,and the air humidity was slightly high.Through data mining,precise welfare monitoring and breeding management were realized. | 段玉瑶 马丽 刘刚 | 2015 | 农业工程学报2015，31，S2： | 7 |
| 7 | A PSO based Energy Efficient Coverage Control Algorithm for Wireless Sensor Networks显示文摘Wireless Sensor Networks(WSNs)are large-scale and high-density networks that typically have coverage area overlap.In addition,a random deployment of sensor nodes cannot fully guarantee coverage of the sensing area,which leads to coverage holes in WSNs.Thus,coverage control plays an important role in WSNs.To alleviate unnecessary energy wastage and improve network performance,we consider both energy efficiency and coverage rate for WSNs.In this paper,we present a novel coverage control algorithm based on Particle Swarm Optimization(PSO).Firstly,the sensor nodes are randomly deployed in a target area and remain static after deployment.Then,the whole network is partitioned into grids,and we calculate each grid’s coverage rate and energy consumption.Finally,each sensor nodes’sensing radius is adjusted according to the coverage rate and energy consumption of each grid.Simulation results show that our algorithm can effectively improve coverage rate and reduce energy consumption. | Jin Wang Chunwei Ju Yu Gao Arun Kumar Sangaiah Gwang-jun Kim | 2018 | Computers, Materials & Continua2018，，9： | 6 |
| 8 | A Self-certified Cross-Cluster Asymmetric Group Key Agreement for Wireless Sensor Networks显示文摘Wireless sensor networks have some obvious characteristics, such as communication range is limited, computing power is limited and energy is limited. Group key agreement in this environment requires a cross-cluster, computation and communication overhead are lightweight and highly safe group key agreement protocol. Aiming at these demands, the paper proposes a Self-certified cross-cluster Asymmetric group key agreement(SC-AGKA). To establish a lightweight and efficient group communication channel among sensor nodes. According to the cluster head as the bridge node to realize the sensor nodes in different cluster have the same group key information, and negotiate a pair of asymmetric group keys to realize the cross cluster secure communication. The group communication adopts asymmetric encryption mechanism. It realizes the group security communication mechanism of message sender unconstraint. The asymmetric group key agreement has the key self-certified, which does not need additional rounds to verify the correctness of group key. Proven and analysis show that the proposed protocol has the advantages of in security and energy consumption. | ZHANG Qikun LI Yongjiao ZHANG Quanxin YUAN Junling WANG Ruifang GAN Yong TAN Yu'an | 2019 | Chinese Journal of Electronics2019，28，2： | 5 |
| 9 | 无线传感器网络的硬件设计显示文摘根据无线传感器网络(WSN)的设计要求,结合系统的实际情况,给出了无线传感器节点的硬件设计方案,包括传感器单元、处理器单元、A/D单元、射频单元、供电单元以及扩展接口单元的设计.选用CC2431作为系统的微处理器,采用温度、湿度以及烟雾等3种传感器,并选用ZigBee协议作为无线传感器的传输协议,实现了一种低功耗的无线传感器网络节点硬件平台.并采用所设计系统进行了无线测温实验. | 褚家美 | 2010 | 南京师范大学学报(工程技术版)2010，10，4： | 3 |
| 10 | Compressed Sensing of Wireless Sensor Networks Data with Missed Measurements显示文摘In Wireless sensor networks(WSNs),missed measurements may be caused by the sensor malfunction and interruption of communication between sensor nodes. The feasibility of exact recovery of WSNs data with missed measurements is analyzed in the framework of compressed sensing. A new incomplete measurement model was developed and the data reconstruction algorithm was proposed. The required number of the missing measurements and the sparsity condition of network data are found for exact compressed sensing of WSNs data.Theoretical derivation shows that a WSNs data of length N with no more than M/(log(N/M) + 1) nonzero coefficients can be exactly recovered with M Gaussian measurements,provided that fraction of the missed measurements is less than a quarter of the Restricted isometry property(RIP)constant squared. Simulation results validate the theoretical results. | WANG Kai LIU Yulin WAN Qun JING Xiaojun | 2015 | Chinese Journal of Electronics2015，24，2： | 3 |
| 11 | Balancing the Power Consumption Speed in Flat and Hierarchical WSN显示文摘A combination of a cluster tree routing protocol and an Ad hoc on demand vector (AODV) routing protocol is used in the latest ZigBee standard wireless sensor networks (WSNs) technology. However, the AODV routing protocol has no means by which to take into consideration the power consumption of the nodes during the routing process. Therefore, a new approach is proposed in this paper to balance the power consumption speed and to distribute the responsibilities of routing among fiat wireless sensor nodes and the three levels of hierarchical wireless sensor nodes. These three levels are based on the three types of devices, which are used in the ZigBee standard: the coordinator, the touters, and the end devices. In this paper, we have compared the original AODV routing protocol with our extension approach for the distribution of power consumption. Based on the simulation results, our new approach has achieved better performance in terms of increasing the lifetime of the fiat wireless sensor network, the personal area network (PAN)coordinator, the touters, and the whole network of the hierarchical wireless sensor network. Additionally, it has better performance in terms of distributing the power consumption among the key nodes of the wireless sensor network. | Hesham Abusaimeh | 2008 | International Journal of Automation and computing2008，5，4： | 3 |
| 12 | Design of Intelligent Irrigation Monitoring System Based on GPRS and Zigbee显示文摘In order to solve the present dual contradiction of the low utilization of water resources in China's agricultural sector and the low land management efficiency,using Zigbee wireless sensor network and GPRS technology,this paper designs an intelligent monitoring system based on the GPRS and Zigbee wireless network technology. The Zigbee wireless sensor network is established based on the IEEE 802. 15. 4 / Zigbee protocol,consisting of terminal node for capturing and transmitting soil and environmental information to the coordinator node( gateway node)or acting the control command from the GPRS network. The irrigation remote monitoring network layer consists of coordinator node connected by the TCP / IP protocol,which can implement the precision irrigation of crops and the information management of arable land to the monitor center or user. And the monitor center using Java to write the system is safe and effective. | Fuping WANG Panpan FENG | 2015 | Asian Agricultural Research2015，7，6： | 2 |
| 13 | Anomaly Detection Based on Data-Mining for Routing Attacks in Wireless Sensor Networks显示文摘With the increasing deployment of wireless sensordevices and networks,security becomes a criticalchallenge for sensor networks.In this paper,a schemeusing data mining is proposed for routing anomalydetection in wireless sensor networks.The schemeuses the Apriori algorithm to extract traffic patternsfrom both routing table and network traffic packetsand subsequently the K-means cluster algorithmadaptively generates a detection model.Through thecombination of these two algorithms,routing attackscan be detected effectively and automatically.Themain advantage of the proposed approach is that it isable to detect new attacks that have not previouslybeen seen.Moreover,the proposed detection schemeis based on no priori knowledge and then can beapplied to a wide range of different sensor networksfor a variety of routing attacks. | Song Jianhua Ma Chuanxiang | 2008 | China Communications2008，5，2： | 2 |
| 14 | Dynamic Cluster Key Management Scheme on Wireless Sensor Networks显示文摘Wireless sensor networks are open architectures, so any potential threat can easily intercept, wiretap and counterfeit the information. Therefore, the safety of WSN is very important. Since any single key system cannot guarantee the security of the wireless sensor network for communications, this paper introduces a hierarchical key management scheme based on the different abilities of different sensor nodes in the clustered wireless sensor network. In this scheme, the nodes are distributed into several clusters, and a cluster head must be elected for each cluster. Private communication between cluster heads is realized through the encryption system based on the identity of each head while private communication between cluster nodes in a same cluster head is achieved through the random key preliminary distribution system. Considering the characteristics of WSN, we adopt dynamic means called dynamic cluster key management scheme to deal with master key, so master key will be updated according to the changed dynamic network topology. For cluster head node plays a pivotal role in this scheme, a trust manage-ment system should be introduced into the election of the cluster head which will exclude the malicious node from outside the cluster, thus improve the whole network security. | Pei Qingqi Li Hongning Pang Liaojun Hao Yin Hong Tang | 2010 | China Communications2010，7，1： | 2 |
| 15 | Fire monitoring in coal mines using wireless underground sensor network and interval type-2 fuzzy logic controller显示文摘From the view of underground coal mining safety system, it is extremely important to continuous monitoring of coal mines for the prompt detection of fires or related problems inspite of its uncertainty and imprecise characteristics. Therefore, evaluation and inferring the data perfectly to prevent fire related accidental risk in underground coal mining (UMC) system are very necessary. In the present article, we have proposed a novel type-2 fuzzy logic system (T2FLS) for the prediction of fire intensity and its risk assessment for risk reduction in an underground coal mine. Recently, for the observation of underground coal mines, wireless underground sensor network (WUSN) are being concerned frequently. To implement this technique IT2FLS, main functional components are sensor nodes which are installed in coal mines to accumulate different imprecise environmental data like, temperature, relative humidity, different gas concentrations etc. and these are sent to a base station which is connected to the ground observation system through network. In the present context, a WUSN based fire monitoring system is developed using fuzzy logic approach to enhance the consistency in decision making system to improve the risk chances of fire during coal mining. We have taken Mamdani IT2FLS as fuzzy model on coal mine monitoring data to consider real-time decision making (DM). It is predicted from the simulated results that the recommended system is highly acceptable and amenable in the case of fire hazard safety with compared to the wired and off-line monitoring system for UMC. Legitimacy of the suggested model is prepared using statistical analysis and multiple linear regression analysis. | Sweta Basu Sutapa Pramanik Sanghamitra Dey Gautam Panigrahi Dipak Kumar Jana | 2019 | International Journal of Coal Science & Technology2019，6，2： | 2 |
| 16 | Byzantine Fault-Tolerant Routing for Large-Scale Wireless Sensor Networks Based on Fast ECDSA显示文摘Wireless sensor networks are a favorite target of Byzantine malicious attackers because of their limited energy, low calculation capability, and dynamic topology, and other important characteristics. The Byzantine Generals Problem is one of the classical problems in the area of fault tolerance, and has wide application, especially in distributed databases and systems. There is a lot of research in agreement and replication techniques that tolerate Byzantine faults. However, most of this work is not suited to large-scale wireless sensor networks, due to its high computational complexity. By introducing Fast ECDSA(Elliptic Curve Digital Signature Algorithm), which can resist timing and energy attacks, and reduce the proportion of verifying signature algorithm to generating signature algorithm to 1.2 times, we propose a new Byzantine fault-tolerant routing algorithm for large-scale wireless sensor networks with double-level hierarchical architecture. In different levels, the algorithm runs different BFT protocols.Theory and simulation results have proved that this algorithm has high security and the number of communication rounds between clusters is reduced by 1/3, which balances the network load. At the same time, the application of Fast ECDSA improves the security level of the network without burdening it. | Jiawei Xu Keda Wang Chao Wang Feng Hu Zhenhua Zhang Shiyi Xu Jie Wu | 2015 | Tsinghua Science and Technology2015，20，6： | 1 |
| 17 | Adaptive Power Control for mutual Interference Avoidance in Industrial Internet-of-Things显示文摘With the vigorous development of the Internet of Things and 5G technology, such as machine-to-machine and device-todevice, all kinds of data transmission including environmental monitoring and equipment control strengthens the key role of wireless sensor networks in the large-scale wireless communication system. However, especially in the complex industrial wireless applications, the low utilization efficiency of the limited wireless radio resource enhances the coexistence problem between heterogeneous networks. In this paper, from the severe mutual interference point of view, a mathematical model regarding cumulative interferences in the industrial wireless sensor networks is described. Then, from the perspective of mutual interference avoidance, an adaptive power control scheme is proposed in order to handle the normal communication needs on both the primary link and the secondary link. At last, nonlinear programming is taken to solve the corresponding optimization problem. Some typical analyses are given to verify the effectiveness of the proposed scheme on optimizing the tradeoff between the system throughput and energy consumption. Especially, the energy-efficiency of the novel scheme for Industrial Internet of Things is also analysed. Results show that the proposed power control is efficient. The throughput could be enhanced and the energy consumption could be reduced with the guarantee of mutual interference avoidance. | ZHENG Tao QIN Yajuan ZHANG Hongke KUO Syyen | 2016 | China Communications2016，13，S1： | 1 |
| 18 | Collaborative learning via social computing显示文摘Educational innovation is a field that has been greatly enriched by using technology in its processes, resulting in a learning model where information comes from numerous sources and collaboration takes place among multiple students. One attractive challenge within educational innovation is the design of collaborative learning activities from the social computing point of view, where collaboration is not limited to student-to-student relationships, but includes student-to-machine interactions. At the same time, there is a great lack of tools that give support to the whole learning process and are not restricted to specific aspects of the educational task. In this paper, we present and evaluate context-aware framework for collaborative learning applications(CAFCLA) as a solution to these problems. CAFCLA is a flexible framework that covers the entire process of developing collaborative learning activities, taking advantage of contextual information and social interactions. Its application in the experimental case study of a collaborative WebQuest within a museum has shown that, among other benefits, the use of social computing improves the learning process, fosters collaboration, enhances relationships, and increases engagement. | Ricardo S.ALONSO Javier PRIETO óscar GARCíA Juan M.CORCHADO | 2019 | Frontiers of Information Technology & Electronic Engineering2019，20，2： | 1 |
| 19 | Research on Improved Low-Energy Adaptive Clustering Hierarchy Protocol in Wireless Sensor Networks显示文摘In wireless sensor networks(WSNs), due to the limited battery power of the sensor nodes, the communication energy consumption is the main factor to affect the lifetime of the networks. A reasonable design of the communication protocol can effectively reduce the energy consumption of the network system. Based on low-energy adaptive clustering hierarchy(LEACH), an improved LEACH protocol in WSNs is proposed. In order to optimize the cluster head(CH) election in the cluster setup phase, the improved LEACH takes into account a number of factors, including energy consumption of communication between nodes, remaining energy of the nodes,and the distance between nodes and base station(BS). In the steady phase, one-hop routing and multiple-hop routing are combined to transmit data between CHs to improve energy efficiency. The forward CH is selected as relay node according to the values of path cost. The simulation results show that the proposed algorithm performs better in balancing network energy consumption, and it can effectively improve the data transmission efficiency and prolong the network lifetime, as compared with LEACH, LEACH-C(LEACH-centralized) and NDAPSO-C(an adaptive clustering protocol based on improved particle swarm optimization) algorithms. | 张颖 李培嵩 毛林 | 2018 | Journal of Shanghai Jiaotong university(Science)2018，23，5： | 1 |
| 20 | Dynamic alliance target tracking based on genetic algorithms in wireless sensor networks显示文摘Dynamic alliance(DA),namely,virtual corporations (VCs),is an enterprise management method. It means a temporary union formed by some independent commercial processes or corporations.Here, genetic algorithms(GA) is applied to the research of nodes DA selection optimization in wireless sensor networks(WSN) target tracking(TT) problem.The detailed optimized selection method is presented in the paper and a typical simulation is conducted to verify the effectiveness of our model. | Zhang Shi Zhang Zhe Zhu Jichang | 2007 | China Communications2007，4，4： | 0 |
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