Papers by Keyword: Wireless Sensor Network (WSN)

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Authors: Dong Hong Yang, Ji Wang
Abstract: The real-time online offshore monitoring system based on wireless sensor network has been designed.It successfully applied wireless sensor network technology to the field of ocean environmental monitoring system.The system is an automatic monitoring system without manual involvement,which runs automatically by the program from the data collection nodes import to the sink node through the communication nodes. The handheld sink has a slick looking interface.It is an offshore wireless sensor networks which can be set up flexibly and can monitor the changes of temperature,light intensity ,PH, dissolved oxygen and other parameters.The system is composed of three main components including data acquisition subsystem,data transmission control subsystem and data sharing subsystem.The subsystems are responsible for monitoring data collection,information transmission processing,data sharing ,and information service.This paper described the architecture of the entire system and the implementation of each module in details,especially the implementation of data acquisition subsystem including hardware packaging,software designing and environmental configuration.Through analyzing of telos node hardware and the energy status of routing protocols,it proposes energy-saving solutions based on energy-efficient routing and radio dormancy strategy. The system has been running for more than one year.It has been proved that the system is energy-saving.It has made an important impact on ocean ography.
Authors: Wei Min Lang, Yuan Cheng Zhu, Hu Sheng Li
Abstract: In this paper, we propose a revolutionary communication paradigm—Wireless Cognitive Sensor Network (WCSN) — to solve these problems. We analyze the incentives to introduce WCSN in smart grids and review the main research work with respect to Byzantine attacks in wireless cognitive sensor network. Furthermore, we provide some preliminary discussions on Bayesian game and wireless cognitive sensor network. More importantly, we propose a Bayesian game model for the Byzantine attacks of wireless cognitive sensor network in the smart grid and present a detailed equilibrium analysis of the interactions between malicious secondary users and honest secondary users. Analysis results demonstrate that rather than focus on penalties, regulators would be wise to ensure that the gain from challenging is significant and the cost of challenging is small, as this reduces the probability of sending false readings.
Authors: Yong Luo Shen, Jun Zhang, Di Wei Yang, Lin Bo Luo
Abstract: In this paper, we propose a novel key management scheme based on Bezier curves for hierarchical wireless sensor networks (WSNs). The design of our scheme is motivated by the idea that a Bezier curve can be subdivided into arbitrarily continuous pieces of sub Bezier curves. The subdivided sub Bezier curves are easily organized to a hierarchical architecture that is similar to hierarchical WSNs. The subdivided Bezier curves are unique and independent from each other so that it is suitable to assign each node in the WSN with a sub Bezier curve. Since a piece of Bezier curve can be presented by its control points, in the proposed key management scheme, the secret keys for each node are selected from the corresponding Bezier curve’s control points. Comparing with existing key management schemes, the proposed scheme is more suitable for distributing secret keys for hierarchical WSNs and more efficient in terms of computational and storage cost.
Authors: Xin Tong, Lan Chen, Ying Li
Abstract: Wireless sensor networks (WSNs) are vulnerable to a variety of malicious attacks, especially the packet dropping attack, making security an important research field. Since prevention based techniques are less helpful for guarding against inside attacks, intrusion detection (ID) techniques are indispensable to provide advanced protection. This paper proposes an innovative cellular ID framework for packet dropping attack, which takes the deployment of passive listening nodes into consideration. Performance evaluation made in VisualSense demonstrates its high detection accuracy.
Authors: Kuo Qin Yan, Shu Ching Wang, Chin Shan Peng, Shun Sheng Wang
Abstract: A Wireless Sensor Network (WSN) consists of spatially distributed autonomous devices which use sensor nodes (SNs) to monitor physical or environmental conditions cooperatively. However, the SN is limited by the energy resource, the memory, the computation, the communication capability, etc. Therefore, the hierarchical clustering topology has been proposed to prolong the lifetime of WSNs by decreasing the energy consumption of SNs. Unfortunately, the network topology is still unstable due to the workload of the cluster managers is overloading. However, in this study, a Centre Clustering Mechanism (CCM) underlying the center-based WSN is proposed to improve the stability of network topology, assists SN within the working area, and takes advantage of message exchange.
Authors: Yun Bai, Chun Ming Li, Yuan Xue
Abstract: In this paper, a new triangle centroid localization algorithm for wireless sensor networks based on received signal strength indicator (RSSI) was demonstrated in great detail, and was simulated using MATLAB , and was compared with the original algorithm. Finally, wireless localization system based on CC2430/31 was set up in IAR development environment. Through hardware testing and comparison, The impact on the localization accuracy is illustrated about the signal transmission loss, beacon node density and outside interference. The superiority of this new algorithm is verified.
Authors: Xu Bai, Chang Hong Wang, Jia Yan Zhang
Abstract: Wireless sensor nodes are battery-powered devices with limited processing and transmission power, energy-efficient configuration has become a major design goal to improve the lifetime of the network. A cluster-based network topology can increase the scalability and lifetime, the classical clustering solutions elect the cluster head according the nodes’ residential energy in homogeneous networks, and however, the network is mostly inhomogeneous in practical application. In this paper, a cluster head election mechanism is proposed in a network which deploys the nodes with non-uniform energy and data gathering rates. This protocol is able to distribute energy consumption more reasonable among the sensors in the network, and make each node lifetime more similar.
Authors: Peng Li, Yan Jun
Abstract: In the architecture of wireless sensor network, routing technology at the network layer is essential. Since the clustering routing leads in good performance on data aggregation, energy minimization and so on, it has become the focus of the study routing. In this paper, a cluster-based routing tree construction algorithm for Wireless Sensor Networks is proposed. The detail of how to select the intermediate nodes to build the routing gathering tree is also described. The experiments show that the algorithm is effective to extend the network lifetime.
Authors: Ying Liao, Wei Xu Hao
Abstract: Wireless sensor networks (WSNs) detect and monitor the outside physical state by the sensor nodes organizing automatically. Utilizing clustering algorithm to form hierarchical network topology is the common method which implements managing network and aggregating data in WSNs. Different from the previous clustering algorithms, this article proposes a clustering algorithm for WSNs based on distance and distribution to generate clusters considering residual energy of nods in WSNs with inhomogeneous distribution. The simulation result indicates that the algorithm can establish more balanceable clustering structure effectively and enhance the network life cycle obviously.
Authors: Jing Huang, Hai Hua Li, Rui Yang, Hai Yan Chen
Abstract: Data fusion is an important research issue in wireless sensor networks (WSN). The clustering based approach can reduce the interference among nodes, maintain the balance of energy consumption within WSNs, and therefore prolong the lifetime of WSNs. A clustering-based algorithm called LEACH-EC is presented in the paper. Aiming at solving the problems of the existing algorithms, the LEACH-EC takes the static clustering approach to reduce the energy consumption during clustering stage by first clustering sensors and then selecting the heads of respective clusters. When the heads of clusters send data to the base station, a proposed multi-hop strategy is adopted to further decrease the energy consumption of head sensors. Compared with the existing algorithms, the LEACH-EC has shown a good performance on both extending the lifetime of WSNs as well as reducing energy consumption of sensors.
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